AI app for it and development · no coding needed
Source-linked codebase map and review console
Reduce manual code tracing while keeping every diagram linked to its source.
Made for: Engineering leads and platform teams maintaining large or legacy codebases
What it does for you
The problem
Developers and reviewers cannot quickly see how modules, dependencies and features connect, so onboarding, change review and impact analysis take repeated manual tracing.
What it gives you
Reviewer-approved source-linked code maps
What you give it
Repository sourcegit historypull requeststeam notes
Build your own version of CodeViz (YC S24), Eraser AI and more
One app with what these 5 AI tools do, yours to keep and change: CodeViz (YC S24), Eraser AI, ProductMap AI, Codalogy, Haystack.
Everything these tools do, in one app
- Interactive visual maps Provides clickable, zoomable diagrams of code structure for easy navigation and exploration.Found in CodeViz (YC S24), ProductMap AI, Codalogy and 1 more
- Automatic diagram generation Automatically creates visual representations of code architecture and components from source code.Found in CodeViz (YC S24), Eraser AI, ProductMap AI and 2 more
- Dependency mapping Shows connections and dependencies between modules, functions, and components.Found in CodeViz (YC S24), Codalogy, Haystack
- AI-powered analysis Uses AI to analyze code and generate insights such as architecture diagrams or feature discovery.Found in CodeViz (YC S24), Eraser AI, ProductMap AI and 1 more
- IDE integration Works directly within a code editor or development environment without switching tools.Found in CodeViz (YC S24), Haystack
- On-demand custom diagrams Allows users to request specific diagrams for particular parts of the codebase or data flows.Found in CodeViz (YC S24), Eraser AI
- Feature-oriented visualization Focuses on software features rather than just code lines, showing feature hierarchies and relationships.Found in ProductMap AI
- Traceability Links features or components directly to their corresponding code for easier navigation.Found in ProductMap AI
- Large codebase support Handles very large repositories, suitable for legacy or enterprise projects.Found in CodeViz (YC S24), ProductMap AI, Codalogy
- Collaboration enhancement Reduces miscommunication by providing a shared visual understanding of code for teams and stakeholders.Found in ProductMap AI
- Continuous integration automation Automatically updates diagrams when code changes are pushed or pull requests are opened.Found in Eraser AI
- Visual diff on pull requests Adds visual comments on pull requests to show context of code changes.Found in Eraser AI
- Natural language prompting Allows users to specify what to visualize using natural language or file paths.Found in Eraser AI, Haystack
- Multiple diagram types Supports various diagram formats such as flowcharts, sequence diagrams, and architecture diagrams.Found in Eraser AI
- Functional component breakdown Breaks down codebase into distinct functional components for clearer understanding.Found in Codalogy
- Hidden relationship discovery Helps identify undocumented or scattered relationships between code parts.Found in Codalogy
- Multi-language support Works with a wide range of programming languages and project types.Found in Codalogy
- Infinite canvas workspace Provides a limitless 2D space to organize and view code elements freely.Found in Haystack
- Workspace saving Allows users to save and reload their current layout of open editors and diagrams.Found in Haystack
- Git integration Supports version control workflows including Git.Found in Haystack
How it works, step by step
- Connect a repository and select scope
- Generate interactive clickable diagrams of code structure
- Map dependencies between modules, functions and components
- Analyze code with AI to propose architecture and feature views
- Open diagrams inside the IDE
- Build on-demand custom diagrams for a chosen area or data flow
- Group code into feature-oriented hierarchies
- Link each feature or component back to its source
- Handle large and legacy repositories
- Share a common visual view for teams and stakeholders
- Update diagrams automatically on push or pull request
- Attach visual diff comments to pull requests
- Accept natural language or file-path prompts
- Produce flowcharts, sequence diagrams and architecture diagrams
- Break the codebase into functional components
- Surface undocumented or scattered relationships
- Support multiple programming languages and project types
- Provide an infinite canvas workspace
- Save and reload workspace layouts
- Integrate with Git version control workflows
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewer-approved source-linked code map with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Source-linked codebase map and review console with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Source-linked codebase map and review console with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links4 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare24 KB
- prompt-vps.mdThe same build on your own server (Docker)24 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria11 KB
- demo/index.htmlThe working demo on sample data195 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce manual code tracing while keeping every diagram linked to its source. For engineering leads and platform teams maintaining large or legacy codebases, convert repository source, git history, pull requests and team notes into reviewer-approved source-linked code maps and diagrams. The benefit is a testable hypothesis, measured through accepted maps per engineering hour and corrections after review; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect repository source, git history, pull requests and team notes, then follow this sequence: 1. Connect a repository and select scope. 2. Generate interactive clickable diagrams of code structure. 3. Map dependencies between modules, functions and components. 4. Analyze code with AI to propose architecture and feature views. Resolve uncertain cases with qualified reviewers, approve reviewer-approved source-linked code maps, and measure accepted maps per engineering hour and corrections after review against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for graph construction, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One repository scope and supported language set; final architecture and correctness checks remain engineering. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve source attribution, code accuracy and usage permissions. Engineering leads approve substantive changes and publication scope. One repository scope and supported language set; final architecture and correctness checks remain engineering. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One repository scope and supported language set; final architecture and correctness checks remain engineering. Implement one approved input format, a bounded representative case set and the first two task modules: connect a repository and select scope; generate interactive clickable diagrams of code structure. Support the third module with operator review: map dependencies between modules, functions and components. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Customer-owned repositories, authorized git providers and permitted documentation sources. Cloud code storage, IDE plugins and CI destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Repository connection and scope, Editable map workspace, Review and delivery. Use a thumbnail gallery for repositories and saved workspaces, a large central infinite canvas for diagrams, and a right-hand panel for source links, dependencies and comments. Let users compare diagram versions side by side. Display draft, changes requested and approved states. Provide a review link with comments anchored to the relevant code element. Make the task-specific outcome reviewer-approved source-linked code maps visible beside its evidence, review state and value baseline.
