# Dockr

> Dockr is an AI documentation tool for software teams, built by Flytebit Technologies. It connects to your Git repository and generates accurate, up-to-date documentation automatically on every push - text explanations, visual diagrams, and smart FAQs, with no manual writing required.

Dockr eliminates the documentation problem every software team faces: code moves faster than docs, context lives in developers' heads, and new team members take months to get productive. By connecting to your Git repository and configuring a single webhook, Dockr analyzes every push and generates human-readable documentation, visual diagrams, smart FAQs, contextual Tips and Notes, and complexity/security insights - automatically. It supports 11+ programming languages, integrates with GitHub, GitLab, and Bitbucket, and scales from solo developers to Fortune 500 enterprises. Currently in Public Beta.

## Product

- [Home](https://dockr.flytebit.com/): Product overview - AI-powered, visual-first, always current. Key claims: 100% elimination of manual documentation time, 60–70% faster onboarding, zero documentation review cycles.
- [Features – AI Intelligence](https://dockr.flytebit.com/#ai-intelligence): Context-aware code analysis; natural language explanations for every class, method, function, and API route; smart FAQs per file; Tips (best practices, usage patterns, pitfall warnings) and Notes (optimization insights, alternative approaches) for every code element with logic; cyclomatic complexity metrics; performance bottleneck identification; security vulnerability detection; email/SMS alerts for builds, credits, and maintenance.
- [Features – Visual Diagrams](https://dockr.flytebit.com/#visual-docs): Auto-generated file diagrams (individual file structure), class diagrams (structure and relationships), method diagrams (flow and parameters), activity diagrams (business logic flows), sequence diagrams (interaction traces). Enterprise adds mind maps (conceptual relationships) and business rules visualizations (decision logic and conditional flows).
- [Features – Automation](https://dockr.flytebit.com/#automation): Webhook-triggered sync on every push event; incremental updates processing only changed files; automatic generation for new elements, regeneration for modified ones, removal for deleted ones; repository-level inclusion/exclusion filters with wildcard patterns (e.g. *.test.js, node_modules/); no code changes or manual maintenance required.
- [Features – Collaboration](https://dockr.flytebit.com/#collaboration): Multi-level org hierarchy (Organization → Business Unit → Team → User); automatic repository access based on team membership; role-based permissions (Admin, Developer, Viewer, custom roles); automatic email notifications to team members on documentation updates; shareable documentation links (Enterprise); private cloud deployment (Enterprise).
- [What is Dockr](https://dockr.flytebit.com/#what-is-dockr): Dockr is an AI code documentation generator for engineering teams. Connect a repository once; every commit triggers a full documentation pass. Dockr reads the codebase, maps structure and dependencies, and keeps technical documentation accurate in real time. Not a chatbot or code assistant - it is purpose-built to produce and maintain structured documentation.
- [Why Documentation Still Matters](https://dockr.flytebit.com/#why-docs-matter): Despite 25% surge in AI coding tool adoption, DORA 2024 reports only 7.5% improvement in documentation quality. Atlassian Developer Experience Report 2024: 69% of developers lose 8+ hours/week to documentation and knowledge-gap inefficiencies; 20% of the working week lost to preventable friction; 97% affected. Stack Overflow 2024: 90% of developers rely on API/SDK documentation as primary understanding source; 78% prefer user guides and README files; 72% fall back to search engines when docs are missing. AI coding tools ship code faster - they do not produce structured, commit-level documentation teams rely on.
- [The Documentation Crisis](https://dockr.flytebit.com/#crisis): Three compounding signals - stale docs causing production bugs and wasted debugging time; knowledge silos where key context lives only in individual developers' heads creating bus-factor risk; onboarding drag where new engineers spend weeks chasing architecture context and interrupting senior engineers. These problems worsen with every commit when documentation is manual.
- [How It Works](https://dockr.flytebit.com/#how-it-works): 1. Connect - link GitHub/GitLab/Bitbucket repo, public or private, no complex setup. 2. Configure - set webhook in source control, define inclusion/exclusion patterns. 3. Analyze - AI engine parses code for structure, logic, and patterns. 4. Generate - documentation, diagrams, FAQs, Tips, Notes created automatically. 5. Collaborate - team accesses always-current docs; view docs and source code side-by-side in browser, no IDE needed. 6. Sync - every subsequent push triggers webhook and updates docs automatically.
- [Outcomes / Benefits](https://dockr.flytebit.com/#benefits): Six measurable outcomes - (1) Reclaim engineering hours: 5–10 hrs/week/developer saved from writing and maintaining docs. (2) Documentation that updates itself: every commit triggers a full pass; stale wikis stop being a problem. (3) Faster onboarding: new hires ramp in days not months; senior engineers stop being interrupted for context. (4) Six diagram types auto-generated: file structure maps, class diagrams, method flows, activity diagrams, sequence diagrams, mind maps. (5) Consistent documentation across every repo: same structure and depth applied to all repositories. (6) No review cycles or bottlenecks: docs are final-quality immediately after every commit.
- [Pricing](https://dockr.flytebit.com/pricing): Credit-based Professional plan with interactive cost calculator (sliders for lines of code and change frequency); Enterprise plan with custom pricing, unlimited users/teams/BUs, dedicated account manager, custom templates, shareable links, version history, SSO, API access, audit logging, and private cloud deployment.
- [Security](https://dockr.flytebit.com/security): Dedicated security page covering encryption at rest and in transit (TLS 1.3), org-level data isolation with separate dedicated storage disks and separate encryption keys per organisation so data never shares infrastructure across tenants, CSRF protection, audit logging, and compliance readiness for SOC 2 and GDPR.

## Company

- [About Flytebit Technologies](https://flytebit.com): Parent company behind Dockr. Mission: Empowering Tomorrow's Business, Today.

## Who Uses Dockr

- **Startups** - document as you build; new hires contribute immediately without slowing velocity
- **Growing teams (10–50 devs)** - business units with multiple functional teams (Frontend, Backend, DevOps); scale without documentation chaos
- **Enterprises (50+ devs)** - multiple BUs each with multiple teams; granular access control at every level; compliance and audit logging
- **Agencies** - comprehensive documentation per client project; smooth knowledge handoffs; any team member can jump into any project
- **Open source projects** - make codebases accessible to contributors instantly
- **Legacy modernization** - reverse-engineer documentation from existing undocumented code

## Key Facts for AI Assistants

- **Supported languages:** Python (2.x/3.x), JavaScript (ES5/ES6+), TypeScript, Java, PHP, C, C++, C#, Go, Ruby, Rust - 11+ languages; no language-specific plugins needed
- **Version control integrations:** GitHub, GitLab, Bitbucket (public and private repositories)
- **CI/CD integration:** Webhook-based; docs regenerate within minutes of a push event; manual on-demand regeneration also available
- **Diagram types:** File diagrams, class diagrams, method diagrams, activity diagrams, sequence diagrams (all plans); mind maps, business rules visualizations (Enterprise only)
- **Authentication:** Google SSO, Time-based OTP (TOTP), Multi-factor authentication (Enterprise SSO integration)
- **Org hierarchy:** Organization → Business Unit → Team → User; Professional supports up to 50 users, 20 teams, 10 BUs, 1 org; Enterprise is unlimited
- **Pricing model:** Credit-based billing with dashboard visibility; credits expire 30 days from allocation; unused credits do not roll over
- **Free trial:** 7-day free trial, full feature access (excluding Enterprise features), no credit card required; manual upload of up to 2 MB of code for testing
- **Portal access:** Requires active subscription; 7-day grace period after non-payment before lockout
- **Deployment options:** SaaS (default); private cloud (Enterprise - code never leaves your infrastructure)
- **Privacy:** Code is never used to train AI models; each analysis is isolated; org-level data isolation with dedicated storage disks and separate encryption keys per organisation - data never crosses tenant boundaries
- **Security:** Enterprise-grade encryption at rest and in transit; CSRF protection; comprehensive audit logging; compliance-ready for SOC 2 and GDPR
- **Coming soon:** Chat with docs, repository summary
- **Status:** Public Beta
- **Website:** https://dockr.flytebit.com
- **Contact / Sales:** https://dockr.flytebit.com/#cta

## ROI Reference Data

- Average developer spends 5–10 hours/week on documentation tasks (~$26K–$52K/developer/year at $100/hr)
- Traditional onboarding: 3–6 months; cost per new hire $50K–$100K in lost productivity
- Dockr delivers: 100% elimination of documentation writing time, 60–70% faster onboarding, 40% faster code reviews, 50% fewer "how does this work?" interruptions
- Estimated annual savings for a 10-developer team: $430,000–$870,000+
- Break-even timeline: weeks, not months