Frequently Asked Questions

CoreStory is a Code Intelligence platform that turns complex codebases into structured, explainable system knowledge. It generates architecture overviews, workflows, business rules, diagrams, specifications. It enables natural-language interaction through the Chat with Your Code functionality for humans, and via MCP to AI coding agents, to improve task completion and quality of the generated code.

Yes. Chat with Your Code is a core CoreStory feature designed specifically for querying your codebase in natural language.It allows engineers, architects, and product teams to ask high-level or detailed questions (such as how a feature works, where specific logic lives, or how components interact...) without needing to navigate the code manually. Because the conversation is grounded in CoreStory’s deep, structured understanding of the system, the answers are precise, contextual, and aligned with the actual implementation.This turns the codebase into an accessible, conversational knowledge source and dramatically lowers the barrier to understanding and working with complex systems.

CoreStory can be used by any type of organization. For Enterprises with large legacy code bases, CoreStory can drammatically help in legacy modernization and application maintenance projects. For Startups with new software being delivered in fast sprints, CoreStory can help maintain a single source of truth over thousands of lines of code being delivered (probably even code generated by AI at an even faster pace). To learn more

No. CoreStory does not use customer code, data, or questions to train AI models or large language models.Your proprietary codebase and interactions remain isolated to your environment and are used solely to generate insights and outputs for your organization. CoreStory is designed with strong data governance principles to ensure customer intellectual property remains private, secure, and fully under your control.

Yes. Organizations that deeply understand their systems move faster, modernize more safely, and innovate with less risk and that translates directly into competitive advantage.In many enterprises, legacy systems that support core revenue streams consume disproportionate resources simply to “keep the lights on.” CoreStory shifts that dynamic by turning opaque, hard-to-change systems into transparent, manageable assets. When teams can confidently evolve critical platforms instead of fearing change, they can respond to market opportunities faster and allocate more budget to innovation rather than maintenance.

CoreStory is priced using a usage-based model built around CoreStory Intelligence Units (CIUs).Every action in the platform—code ingestion, Chat with Your Code, spec generation, documentation, MCP queries—consumes CIUs. CIUs abstract underlying token usage (prompt, completion, and context window overhead) into a single, transparent unit that aligns pricing directly with real platform usage.

CoreStory solves the “understanding gap” in software (for both humans and AI coding agents). It makes systems understandable and navigable, accelerating modernization, reducing risk, improving onboarding, and lowering regressions during development and change.

Yes. CoreStory can auto-generate architecture overviews as part of its core analysis of your codebase.These overviews are produced from CoreStory’s deep understanding of system structure, boundaries, and interactions, and are surfaced in the Technical User Stories section. Rather than static diagrams or manually maintained docs, the architecture views are derived directly from the code itself, ensuring they stay accurate and aligned with how the system actually works.This makes it easy for teams to quickly understand the big picture, onboard faster, and keep architectural documentation up to date with minimal effort.

CoreStory is used in industries with complex, long-lived software systems especially where legacy code, documentation gaps, and modernization pressure are common. This includes enterprise-heavy sectors such as financial services, insurance, healthcare, and large-scale IT services/consulting.It is also used in leading software companies that extensively use AI code generation. In these cases, coupling CoreSTory context with AI codig agents has demonstrated to improve the agent's throughtput in terms of total tasks completed, improved code quality, and a reduction in regressions.

No, customer data is never used for model training.All customer code, metadata, and queries are kept private and are used exclusively to generate insights for that specific customer. CoreStory is built with strict data isolation and governance in mind, ensuring your intellectual property remains secure and is never reused to train or improve shared AI models.

Yes. Growth is often constrained not by ambition, but by limited system understanding.CoreStory removes the knowledge bottleneck by making systems understandable and queryable. New teams, partners, and business units can quickly gain context without depending on a small group of legacy experts. This supports faster onboarding, safer delegation, and more scalable engineering operations.

A CIU is an abstraction over underlying token consumption. It bundles prompt tokens, completion tokens, and context-window overhead into a single, transparent unit of value. Every action in the platform—such as code ingestion, Chat with Your Code, documentation and spec generation, MCP queries, and other analyses—consumes CIUs.By using CIUs, CoreStory replaces rigid pricing models based on seats, repositories, or lines of code with a single, consistent unit that maps directly to actual platform usage and value. This makes pricing predictable, scalable, and closely aligned with the real computational cost of generating high-quality, context-aware insights.

CoreStory ingests your codebase and builds a structured Code Intelligence Model that captures architecture, dependencies, workflows, business rules, APIs, and system interactions. That model powers outputs like Technical User Stories, specs, diagrams, and the Chat with Your Code experience. Answers and documents are grounded in what’s actually implemented. This context is also accessible to AI coding agents with MCP - SWE benchmarks have demonstrated that the outcomes of AI coding agents improve by up to 44% when coupled with CoreStory.

Yes. CoreStory can capture high-level workflows directly from the codebase by analyzing how components, services, and modules interact across the system.These workflows are surfaced in the Technical User Stories section, where complex runtime behavior is translated into clear, structured narratives. Instead of reverse-engineering flows manually, teams can see how features are orchestrated end-to-end, based on what the code actually does.This makes it significantly easier to understand user journeys, business logic paths, and cross-system interactions, helping teams align faster and make more confident architectural decisions.

CoreStory was built from the ground up to provide ongoing value.While initial documentation and discovery are high-impact use cases, the platform continues to deliver benefits through impact analysis, modernization planning, onboarding, QA support, and continuous system understanding as the code evolves.

CoreStory pricing is usage-based, not seat-based.All activity—code ingestion, Chat with Your Code, documentation generation, API specs, MCP queries, and more—consumes CIUs. This replaces legacy models based on repo limits, lines of code, or feature gating with a single, transparent unit.

CoreStory is an automated platform designed to generate outputs at scale, grounded in a structured model derived from code. Human validation remains available as part of normal engineering governance (and during PoVs, CoreStory teams often collaborate closely with customer teams), but the platform’s intent is to make high-quality understanding repeatable without requiring manual documentation effort.

Yes. CoreStory is designed to surface business rules that are embedded in the code, even when they’re implicit or spread across multiple components.By analyzing control flow, conditions, and domain logic, CoreStory can identify and clearly describe business rules as long as they are codified in the source. This helps teams uncover “hidden” logic that often lives only in code, turning it into explicit, understandable knowledge that can be reviewed, validated, and shared across engineering and business stakeholders.

CoreStory dramatically improves time-to-market, especially in modernization and maintenance projects.It accelerates the discovery phase by automatically analyzing large codebases and generating high-level documentation, architecture overviews, and system context that would otherwise take weeks or months to assemble manually. By reducing uncertainty, improving code quality, and lowering regression rates, CoreStory shortens testing cycles and enables teams to ship changes faster and with greater confidence.

Yes. CoreStory uses a usage-based pricing model built around CoreStory Intelligence Units (CIUs), with two tiers:Free (Discover): Designed for individuals and small-scale exploration, with limited CIU usage and feature access.Pro (Build): Designed for enterprises, offering higher CIU capacity, advanced capabilities, integrations, and enterprise support.Both tiers follow the same CIU model—the difference lies in scale, limits, and enterprise features.

CoreStory does not generate code. CoreStory generates the business requirements, business rules and workflows, and architectural and code insights form your existing codebases. These insights go way beyond traditional code documentation, since they provide deep context of all elements of your systems (not just code level documentation). We call this Code Intelligence models, and they become the single source of truth, fully queryable and accessible via API/MCP.

Yes. CoreStory generates sequence diagrams as part of its structured analysis, and these are available in the Technical User Stories section of the output.These diagrams are derived directly from the interactions and call flows present in the code, illustrating how components, services, and systems communicate over time. Because they are generated from actual implementation logic, they reflect real execution paths rather than theoretical designs.This makes it easier to understand runtime behavior, trace end-to-end workflows, and communicate complex interactions clearly across engineering and architecture teams.

CoreStory accelerates feature development by eliminating discovery friction, reducing regressions and supporting QA processes.Developers can quickly understand where to implement changes, how workflows interact, and what dependencies exist reducing rework and regression risk and allowing teams to move faster with confidence. The platform also helps developers and QA teams to define tests and acceptance criteria for the new features. It also integrates seamlessly into the SDLC workflows and tools like Jira, to streamline communication and ensure full documentation and visibility of requirements and changes.

Yes. CoreStory offers a Free (Discover) tier designed for individuals and professionals to explore the platform at no cost.This tier allows users to experience CoreStory firsthand, with some limitations on usage volume and advanced capabilities such as exporting and sharing documentation.

CoreStory is used by:- Developers (for onboarding, impact analysis, maintenance, refactoring)- Architects (for architecture visibility, system boundaries, dependencies)- QA teams (for workflow understanding, test planning, edge cases)- Product managers (for feature comprehension and alignment)- Consulting and modernization teams (for discovery, due diligence, migration planning)

Yes. CoreStory can automatically generate UML diagrams as part of its codebase analysis.These diagrams are derived directly from the underlying structure and relationships in the code, ensuring they accurately reflect real implementations rather than outdated documentation. By generating UML from live source code, CoreStory helps teams quickly understand system design, communicate architecture clearly, and keep visual documentation in sync as the code evolves

CoreStory is purpose-built for modernization initiatives.It eliminates lengthy discovery phases by automatically extracting architecture, workflows, and business logic from existing systems. This is particularly valuable for legacy platforms written in older languages—such as COBOL—where documentation is sparse and experienced developers are scarce. CoreStory gives modernization teams the clarity they need to move forward confidently and efficiently.You can learn more about CoreStory and modernization projects at https://corestory.ai/use-cases/legacy-modernization

Yes, CoreStory is SOC 2 compliant, reflecting a strong commitment to security, availability, and confidentiality.This compliance ensures that CoreStory follows rigorous controls and best practices for handling customer data and operating securely at scale. For additional details on CoreStory’s security posture, controls, and compliance commitments, you can visit trust.corestory.ai.

Yes. CoreStory generates executive-friendly architecture overviews and system summaries derived directly from the codebase.This provides leadership with a clear, implementation-backed understanding of system boundaries, integration points, complexity hotspots, and modernization exposure. Instead of relying on outdated slide decks or anecdotal explanations, executives gain access to living, code-derived insight that supports strategic decision-making.

Yes—but instead of a time-limited trial, CoreStory offers a free-forever Discover tier.Users can continue using the platform indefinitely within defined CIU and feature limits, making it easy to explore CoreStory at their own pace.

Yes, CoreStory can be used by people without any prior lnowledge of AI. CoreStory uses AI to automatically generate Code Intelligence models from existing codebases. You only need to point CoreStory to the code repository you want to analyse and the whole reverse engineering process is done automatically without any need to create specific AI prompts. This simplifies adoption of CoreStory without the need for any specific AI prompt engineering or training.

CoreStory accelerates time-to-value by removing friction at every stage of modernization.By rapidly generating accurate system understanding, reducing guesswork, and improving code quality, teams can begin delivering value much earlier in the project lifecycle. Fewer regressions and clearer impact analysis also reduce testing and stabilization time, allowing teams to reach production faster with lower risk.You can learn more about CoreStory and modernization at https://corestory.ai/use-cases/legacy-modernization

Yes. CoreStory offers paid Proof of Value (PoV) engagements for enterprise customers.These pilots allow organizations to validate CoreStory on their own codebases, workflows, and constraints before committing to a broader rollout.

CoreStory is strongest at generating understanding from what’s implemented in source code and related artifacts. For tasks that require external truth (e.g., identifying whether a third-party API is deprecated) or subjective style judgments, CoreStory is best used as the contextual foundation paired with human review or specialized tools/agents.

Yes. This is one of CoreStory’s core strengths.CoreStory analyzes large, complex, and undocumented legacy systems and converts them into a structured Code Intelligence Model. From that model, it generates architecture overviews, workflows, business rules, API specifications, and technical documentation derived directly from the implementation.This is especially valuable in environments where documentation is outdated or nonexistent and institutional knowledge is limited.

Yes. During a paid Proof of Value (PoV), a dedicated CoreStory team works closely with your organization.The goal is to ensure successful onboarding, rapid adoption, and measurable value—helping your teams apply CoreStory effectively to real-world use cases.

Yes, system-level understanding is one of CoreStory’s key strengths. CoreStory generates architecture overviews, workflows, API insights, sequence diagrams, and cross-module relationships, and supports system-level Q&A through Chat with Your Code, not just file-by-file summaries

Yes. CoreStory explains APIs exposed by the codebase by analyzing how they are defined and implemented and surfacing those insights in the generated API Specifications document.Because these specifications are derived directly from the source code, they reflect real endpoints, contracts, and behaviors rather than manually maintained or outdated docs. This gives teams a clear, accurate view of the API surface area—making it easier to understand, document, validate, and evolve APIs with confidence.

Yes. CoreStory is ideal for maintaining and evolving long-lived monoliths.By converting legacy systems into a structured Code Intelligence Model, CoreStory makes architecture, dependencies, business rules, and workflows explicit—enabling safer maintenance, faster modernization, and reduced risk of costly failures.You can learn more about CoreStory and modernization projects at https://corestory.ai/use-cases/legacy-modernization

Yes. CoreStory primarily serves medium to large enterprises and offers enterprise-grade agreements aligned with procurement, legal, and security requirements.

CoreStory provides high level architecture diagrams by default. The chat feature can be used to ask more detailed architecture questions.

Yes, CoreStory can identify integration points from external systems. In fact, one of the standard documents that is generated after ingesting a codebase is a comprehensive Integration Points documentation.

Yes. By analyzing architecture, dependencies, and integration patterns, CoreStory can surface areas of high complexity, tight coupling, or outdated structure, alongside more isolated components that may be easier to modernize first.This visibility helps teams identify low-risk, high-impact modernization opportunities and prioritize initiatives strategically rather than relying on guesswork.

Yes. CoreStory is designed to meet GDPR requirements for EU customers.The platform incorporates strong data protection, access control, and governance practices to ensure personal data is handled in accordance with GDPR principles, including confidentiality, integrity, and lawful processing. CoreStory’s security and compliance framework is built to support enterprise customers operating in regulated environments, including those subject to EU data protection regulations.

Yes. CoreStory offers SLAs as part of paid enterprise plans.SLA terms are defined contractually and typically cover availability, support responsiveness, and operational commitments.

Yes. CoreStory provides full context about dependencies in your code and modules. In fact you can have access to complete architecture information of your systems

Yes. When modules reside within the same analyzed codebase, CoreStory can automatically generate cross-references between them.Because CoreStory builds a structured model of components, dependencies, and interactions across the system, it can trace how modules relate to one another, highlighting imports, service calls, shared models, and workflow connections. These cross-references are grounded directly in the implementation, ensuring they accurately reflect real integration points.This provides teams with clear visibility into coupling, boundaries, and architectural relationships, making it easier to navigate, refactor, and evolve complex systems with confidence.

CoreStory is designed to significantly reduce migration risk by making the system fully understandable before and during change.It helps teams plan migrations more effectively by exposing architecture, dependencies, integrations, and hidden complexity, and by enabling teams to anticipate blast radius before making changes. While no tool can eliminate all migration risk, CoreStory dramatically improves decision-making and reduces avoidable failures by ensuring changes are made with full awareness of system impact.

Yes. CoreStory can offer volume-based pricing for large enterprises with significant CIU usage.Discounts and commercial terms are negotiated based on scale, commitment, and deployment scope.

Yes, that is one of the primary reasons to use CoreStory, as other approaches to getting meaning or detail out of a large legacy code base (for instance, using standard ChatGPT approaches) do not scale up to more than a small collection of files and quickly lose context and value.

Yes. CoreStory supports migration validation by making system behavior and dependencies explicit before and after changes.Teams can use CoreStory to compare architecture, workflows, and integration points, helping ensure that critical business rules and system interactions remain intact. While migration validation ultimately involves testing and governance, CoreStory provides the system-level visibility needed to define and assess success criteria confidently.

CoreStory enterprise plans are typically billed annually, in line with standard enterprise procurement practices.Custom arrangements may be available depending on contract structure.

CoreStory reduces time spent on discovery, debugging system behavior, onboarding, and understanding blast radius. Developers can ask questions in natural language using Chat with Your Code, quickly find where logic lives, and make safer changes with fewer regressions. Developers can also use CoreStory artifacts to suport their preferred AI coding agents in order to generate more and better code, drammatically improving their productivity.

CoreStory follows a usage-based model, but enterprise engagements are generally structured around committed CIU packages rather than pure month-to-month billing.This provides predictability while still preserving usage flexibility.

CoreStory’s accuracy is driven by the fact that it derives insights directly from the source code and system artifacts, not from manual input or assumptions. The result is documentation that tends to be far more consistent with reality than manually maintained docs—especially in fast-changing environments. Customer validations have shown that the quality and accuracy of the outputs is very high.

Yes. CoreStory is a powerful enabler for refactoring initiatives because it provides deep, system-wide context about the codebase before changes are made.By modeling architecture, dependencies, workflows, and business logic, CoreStory ensures that refactoring efforts are grounded in a clear understanding of how the system actually works. Benchmark studies show that when AI coding agents are paired with CoreStory’s contextual intelligence, the resulting code quality improves significantly and regressions are reduced. This makes refactoring safer, more predictable, and far more effective.

Multi-year agreements are available and may benefit from commercial discounts, depending on scope and commitment.Discounts and terms are negotiated directly with the CoreStory sales team, following standard enterprise software practices.

CoreStory is designed to reflect what’s implemented in the codebase. As repositories change, CoreStory can re-ingest and regenerate the intelligence model and outputs, ensuring documentation and insights stay aligned with current implementation rather than drifting over time.

Yes. CoreStory replaces tribal knowledge with continuously updated, code-derived intelligence.Because insights are generated automatically from the source code, knowledge remains accurate, accessible, and independent of individual contributors.

CoreStory contracts are typically annual, with renewals aligned to usage trends and evolving customer needs.Prior to renewal, CIU consumption and platform adoption are reviewed to ensure the next term is right-sized and aligned with business objectives.

CoreStory supports a wide range of languages and is particularly useful in legacy and less mainstream environments where tooling is weaker. The platform’s value is highest when traditional documentation and navigation tools fall short, common in older enterprise systems.

Yes. CoreStory highlights potential security risks as part of its structured analysis outputs, specifically within the Security Considerations section.By examining authentication flows, authorization logic, data handling patterns, external integrations, and configuration settings, CoreStory surfaces areas that may introduce risk or require closer review. Rather than isolated linting-style warnings, these insights are presented in architectural and business context, helping teams understand not just what the potential risk is, but why it matters within the broader system.This enables more informed security reviews and supports proactive risk mitigation as part of ongoing development.

Yes. CoreStory preserves institutional knowledge by capturing it directly from the code.All insights are centralized in the Code Intelligence Model and remain accessible regardless of team changes. Even when documentation is missing or outdated, CoreStory can reverse-engineer systems to ensure knowledge stays within the organization.

CoreStory subscriptions are typically structured as annual enterprise contracts and cannot be paused during the contract term.This model ensures predictable access, pricing, and support throughout the engagement.

CoreStory is designed for enterprise scale, including extremely large and complex codebases and portfolios of repositories. Its modeling approach and usage-based CIU pricing support growth from small trials to thousands of repositories.To validate the platform's capacity, one enterprise customer has successfully ingested a codebase with 11M lines of code.

Yes. Chat with Your Code is a core CoreStory capability designed exactly for questions like “Where is authentication handled?”.It allows you to query the codebase in natural language and receive precise, architecture-aware answers grounded in a deep understanding of the system. Rather than manually hunting through files or relying on institutional knowledge, Chat with Your Code connects authentication logic across services, frameworks, and dependencies to show where it lives and how it’s implemented.This conversational approach makes complex systems easier to explore, reason about, and explain. This turns the codebase itself into an accessible, always-up-to-date source of truth.

Yes. CoreStory standardizes knowledge sharing by creating a single, authoritative intelligence layer over the codebase.Business requirements, workflows, architectural insights, and code details are all captured and made queryable via UI and API/MCP—supporting developers, architects, and business stakeholders alike.

Pricing does not scale based on repo size alone.Larger repositories may consume more CIUs during ingestion or analysis, but ongoing cost is tied to actual usage—queries, documentation generation, and other actions—not static repository size.

Yes. CoreStory can analyze configuration artifacts alongside code (such as CI/CD pipeline definitions, infrastructure/config files, and environment settings) so the intelligence model reflects how systems are actually built, deployed, and operated.

Yes. CoreStory produces Markdown documentation as part of its outputs.By generating documentation in Markdown, CoreStory makes it easy to review, version, and integrate the results into existing workflows, whether that’s storing them alongside the codebase, publishing them to internal docs systems, or using them as inputs for further automation. Because the content is derived directly from the code, the documentation stays accurate, consistent, and aligned with the system’s actual implementation.

Yes. CoreStory is especially effective for inherited or unfamiliar codebases.Its Code Intelligence Model and Chat with Your Code interface allow developers to ask natural language questions about architecture, dependencies, workflows, and behavior. This experience is comparable to having a senior engineer with deep system knowledge available at all times, dramatically accelerating onboarding and understanding.You can learn more about CoreStory and developer onboarding at https://corestory.ai/use-cases/developer-onboarding

No. Usage is not capped per repository.Organizations can analyze as many repositories as they wish. Consumption is governed purely by CIUs, making usage flexible and predictable across portfolios of any size.

Yes. CoreStory is designed for real-world systems, including legacy codebases with uneven patterns, weak documentation, and accumulated technical debt. It builds a structured intelligence model from what’s implemented, which is especially useful when structure is inconsistent and institutional knowledge is fragmented.

Yes. CoreStory allows you to export outputs in Markdown, making the results easy to share, version, and integrate into existing workflows.Markdown exports work seamlessly with documentation tools, repositories, and internal knowledge bases, and because the content is generated directly from the codebase, it stays accurate and implementation-aligned as your system evolves.

Yes. Accelerating onboarding—especially for outsourced teams—is one of CoreStory’s core use cases.With deep contextual intelligence and Chat with Your Code, new developers can quickly understand complex systems without heavy reliance on internal experts. This is why large consulting firms already use CoreStory to support application maintenance and modernization projects.You can learn more about CoreStory and developer onboarding at https://corestory.ai/use-cases/developer-onboarding

Modernization projects can fail due to a variety of reasons. * Unclear vision & goals – lack of alignment on why modernization is needed.* Poor planning & scope creep – unrealistic timelines, budgets, or expanding requirements.* Underestimating complexity – legacy dependencies and technical debt overlooked.* Resistance to change – lack of buy-in from stakeholders or users.* Inadequate skills & resources – teams unprepared for new technologies.* Data migration challenges – loss, corruption, or incompatibility of data.* Weak governance & communication – poor decision-making and misaligned teams.* Neglecting business value – focus on tech over outcomes, failing to deliver ROI.CoreStory converts your legacy codebase into a Code Intelligence model that provides all the information about the legacy system being modernized. This allows teams to understand it's architecture, dependencies and code details all the way up to the actual business requirements of the system. The in-depth intelligence that is made available by CoreStory gives teams the clarity to minimize risk and avoid many of the reasons that make modernization projects fail.

CoreStory pricing is driven by usage, not by how frequently code changes.Code churn only affects cost if it leads to additional activity—such as re-ingestion, regeneration of documentation, or increased querying—making pricing predictable and under customer control.

Yes, CoreStory can analyze any set of code and configuration, including configuration for hybrid cloud and on prem systems, as long as it included in the code/config that is ingested to build the CoreStory knowledge store

Yes. CoreStory makes system design explicit by surfacing the architectural decisions embedded in the codebase.Junior developers can explore architecture, dependencies, and workflows through natural language queries, learning directly from real systems. This accelerates skill development and reduces reliance on ad hoc mentorship.You can learn more about CoreStory and developer onboarding at https://corestory.ai/use-cases/developer-onboarding

No. CoreStory does not charge per project.Organizations can support as many projects or initiatives as they wish. Pricing is governed solely by CIU consumption across all activity.

Yes, CoreStory can analyze any repository owned by a user's linked GitHub account. User can also directly upload repos to CoreStory.

CoreStory reduces cognitive load by removing uncertainty and manual discovery work.By automatically generating system context and enabling developers to understand blast radius before making changes, CoreStory increases confidence, reduces mental overhead, and allows teams to focus on building rather than deciphering complex systems.

Yes. Modernization investments often struggle due to lack of clear evidence.CoreStory quantifies architectural complexity, dependency density, integration exposure, and legacy risk areas, providing concrete, code-backed insights. This transforms modernization discussions from abstract concerns into data-driven strategic decisions that can be defended at executive and board levels.

Very flexible. CoreStory’s usage-based model works well for hybrid organizations that mix in-house teams, outsourced development, consulting partners, and multiple business units.Because pricing is not seat-based, teams can collaborate freely without licensing friction.

Yes. CoreStory establishes a shared, authoritative understanding of the system that bridges engineering and product teams.By providing a common source of truth—even for poorly documented systems—it improves alignment, clarifies impact, and enables more productive cross-functional collaboration.

Yes. CoreStory makes codebases accessible to non-engineering stakeholders by translating implementation details into clear, structured insights.Product managers can explore features, workflows, and system behavior without reading code, enabling better prioritization, clearer communication with engineering, and more informed decision-making.

Yes. CoreStory significantly reduces time spent debating how systems work.Instead of relying on fragmented tribal knowledge, teams can reference shared, code-derived documentation and use Chat with Your Code to clarify architecture, workflows, and dependencies instantly. This shifts meetings from “figuring out what exists” to “deciding what to do next,” accelerating planning and execution cycles.

Yes. Support is included for all paying customers.Enterprise customers receive structured support aligned with their usage of CoreStory across development, maintenance, and modernization workflows.

Yes. CoreStory can generate high-level summaries tailored for executive audiences.Because it models the system at both architectural and business-logic levels, it can produce concise overviews of system purpose, capabilities, dependencies, and modernization risk areas. These summaries help leadership teams understand technical assets without needing to review code-level detail.

Yes. CoreStory replaces weeks of manual reverse engineering with automated architecture extraction, workflow modeling, and system summarization.This is particularly impactful in environments using older or less mainstream languages such as COBOL, where tooling is limited and expertise is scarce. By reducing dependence on highly specialized resources, CoreStory dramatically shortens discovery phases and improves project economics in consulting engagements.

Yes. All customers receive access to CoreStory’s Customer Success function.This ensures a smooth onboarding experience and helps teams extract meaningful value from the platform as quickly as possible, especially in complex enterprise environments.

Yes. By continuously maintaining an accurate, up-to-date understanding of the codebase, CoreStory reduces long-term maintenance costs.Fewer regressions, faster onboarding, clearer impact analysis, and improved collaboration all contribute to lower operational overhead and more sustainable systems over time.You can learn more about CoreStory and application maintenance at https://corestory.ai/use-cases/application-maintenance

Yes. CoreStory provides visibility across repositories and systems, not just individual applications.By modeling architecture, integrations, and cross-system dependencies, it enables leaders to assess systemic risk, identify single points of failure, and understand modernization exposure across the portfolio. This portfolio-level insight is essential for long-term risk management and strategic planning.

Yes. Onboarding and enablement are included as part of the Customer Success engagement.Training focuses on helping teams understand how to apply CoreStory effectively across discovery, maintenance, refactoring, modernization, and SDLC workflows.

Yes. CoreStory significantly lowers the cost of outsourced maintenance by reducing onboarding time and dependency on undocumented tribal knowledge.Outsourced teams gain immediate access to deep system context, allowing them to become productive faster and make safer changes with fewer back-and-forth cycles.You can learn more about CoreStory and application maintenance at https://corestory.ai/use-cases/application-maintenance

Yes, by increasing transparency.Hidden operational risks often stem from undocumented dependencies, implicit business rules, or fragile integration paths. CoreStory reveals these relationships and critical flows, enabling teams to assess blast radius before making changes. This significantly reduces the likelihood of unexpected production impact and costly downtime.

Yes. All platform updates and upgrades are included.CoreStory continuously evolves, and customers automatically benefit from new features, improvements, and optimizations without additional charges, unless explicitly stated otherwise in a contract.

Yes. CoreStory supports retrieval-augmented generation (RAG) as a foundational part of how the platform works.CoreStory builds a structured knowledge model directly from your codebase and uses it to retrieve the most relevant context at query time. This ensures that generated responses are grounded in the actual system (its architecture, dependencies, workflows, and logic) rather than relying on generic assumptions.By tightly coupling retrieval with generation, CoreStory delivers more accurate, explainable, and trustworthy outputs, making RAG a core enabler of high-quality analysis and conversational interactions across the platform.

Yes. CoreStory identifies integrations embedded in the codebase—including implicit or undocumented ones—by analyzing dependencies, service calls, and data flows.This visibility is critical for safe maintenance, refactoring, and modernization efforts.

Yes, indirectly but meaningfully.CoreStory makes technical debt visible by exposing tight coupling, outdated structures, brittle integrations, and complexity hotspots. While remediation requires engineering action, the ability to systematically identify, prioritize, and track debt areas turns technical debt reduction into a measurable and strategic effort rather than an abstract concern.