AI Documentation That Writes Itself
Code evolves faster than documentation. DOCKR closes the gap by reading your codebase, writing the docs, and updating them on every commit.
DOCKR is an AI documentation generator built by FLYTEBIT. It connects to your Git repository, parses your code across 11+ languages, and generates comprehensive documentation with natural language explanations and visual diagrams. Every push triggers an update.
What is an AI documentation generator?
An AI documentation generator reads your source code, understands its structure and logic, and writes documentation for you. It covers classes, methods, functions, API routes, and imports. It generates text explanations, visual diagrams, and FAQs for each file.
The problem it solves is simple. Every software team faces the same issue: code evolves faster than documentation. What starts as a well-documented project becomes a maze of outdated guides, missing explanations, and tribal knowledge locked in developers' heads. New team members struggle to understand the codebase. Existing developers waste hours deciphering code written months ago.
The average developer spends 5-10 hours per week on documentation-related tasks. At $100/hour, that is $26,000-$52,000 per developer annually. For a 10-person team, that is $260,000-$520,000 per year in lost productivity. An AI documentation generator eliminates that cost.
How DOCKR generates documentation
DOCKR connects to your Git repository and configures a webhook in seconds. It parses your code using AST analysis, understands the structure, and generates documentation with natural language explanations and visual diagrams. Every push event triggers an update.
11+ programming languages
Python, JavaScript, TypeScript, Java, PHP, C, C++, C#, Go, Ruby, and Rust. The parser understands syntax, structure, and semantics for each language without requiring language-specific configuration.
Visual diagrams
File diagrams, class diagrams, method diagrams, activity diagrams, and sequence diagrams. Enterprise plans add mind maps and business rules visualizations. Diagrams generate automatically from the code structure.
Natural language explanations
Every class, method, and function gets a plain-language explanation of what it does, how it works, and why it matters. New developers, product managers, and stakeholders can understand the codebase without being engineers.
FAQs, Tips, and Notes
Each file includes FAQs answering common questions. Code elements with logic get Tips for best practices and usage patterns, and Notes for deeper technical insights and optimization opportunities.
Incremental updates
DOCKR analyses the diff on every push. New files get documented, modified files get regenerated, and deleted files get removed. It processes only what changed, so updates finish in minutes even for large codebases.
Complexity and security insights
Cyclomatic complexity metrics, performance bottleneck identification, and security vulnerability detection on every code element. Issues surface before they reach production.
What poor documentation costs you
Developers spend 5-10 hours per week on documentation-related tasks. Onboarding takes 3-6 months before a new developer becomes productive. Bug resolution takes 40% longer without good documentation. Production incidents take 2-3x longer to resolve.
For a 10-developer team at $100/hour, documentation writing alone costs $260,000-$520,000 per year. Onboarding costs $50,000-$100,000 per new hire. The numbers compound as teams grow.
DOCKR eliminates the documentation writing and review cycle entirely. Onboarding drops from months to days. Developers spend their time building features, not writing docs.
AI documentation vs. manual docs and static generators
Most teams use one of three approaches today: manual documentation, static site generators, or nothing. Here is how they compare.
How DOCKR integrates with your stack
DOCKR connects to GitHub, GitLab, and Bitbucket. You configure a webhook in your source control system and tell DOCKR what to document using simple inclusion and exclusion patterns. Push a commit, the webhook fires, and DOCKR updates the documentation.
Your team accesses documentation through a browser. View documentation and source code side-by-side in the same window. No IDE setup required. Multi-level organizational hierarchy (Org, Business Unit, Team, User) controls who sees what.
FAQ
What is an AI documentation generator?
An AI documentation generator reads your source code, understands its structure and logic, and writes documentation for you. It covers classes, methods, functions, API routes, and imports across 11+ programming languages. It generates text explanations, visual diagrams, and FAQs for each file. When you push a commit, it updates the documentation automatically.
How does an AI documentation generator work?
You connect your Git repository and configure a webhook. The tool parses your code using AST analysis, understands the structure, and generates documentation with natural language explanations and visual diagrams. Every push event triggers the webhook, and the tool updates only what changed. New files get documented, modified files get regenerated, and deleted files get removed. No manual intervention required.
Does AI documentation replace technical writers?
No. AI documentation handles the repetitive work: documenting every class, method, and function, keeping docs in sync with code, generating diagrams. Technical writers focus on high-value content: architecture decision records, user guides, API guides, onboarding materials. The AI eliminates the documentation backlog so writers can spend their time where it matters.
What programming languages does DOCKR support?
DOCKR supports Python, JavaScript, TypeScript, Java, PHP, C, C++, C#, Go, Ruby, and Rust. The parser understands syntax, structure, and semantics for each language without requiring language-specific configuration or plugins.
How does DOCKR keep documentation up to date?
DOCKR connects to your repository via webhooks. When you push a commit, the webhook fires and DOCKR analyses the diff. It generates documentation for new code, regenerates for modified code, and removes documentation for deleted code. It processes only what changed, so updates finish in minutes even for large codebases.
How much does an AI documentation generator cost?
DOCKR is a product with its own pricing. For custom documentation automation or consulting, a feasibility study starts from $2K. Full engagements start from $8K onwards. The final cost depends on the scope and engagement model. Visit dockr.flytebit.com for DOCKR product pricing.
See DOCKR in Action
DOCKR reads your codebase and writes the documentation. Try it on your repository or talk to us about how it fits your workflow.