Documint
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Docs that stay in sync.
Automatically.

Documint detects documentation drift the moment your code changes. AST-level analysis finds stale docs instantly. AI-generated patches keep everything in sync. MCP integration for AI agents. CI/CD checks for every PR.

INSTALL
>npx @documint/cli@latest init
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AST diffingAI patch chainMCP-readyCI enforcement
Live previewrepo connected
documint scan --watch
$ index skeehn/documint
[OK] 312 symbols indexed across 24 files
[DRIFT] content/docs/api-reference.md
Reason: parameter signature changed in patch endpoint
[PATCH] generated fix in 4.2s
last scan4.2s
docs updated3 files
review modehuman-in-loop
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How AST-Powered Drift Detection Works

Three steps to keep docs in sync with code. Continuously.

01

Connect

Point Documint at your repo. One-time setup, no config files.

02

Watch

We diff the AST, not the prose. SHA-256 hashes of every signature.

03

Patch

4-step AI chain: diff, locate, write, verify. You approve and merge.

Code Push[+]
──→
AST Diff[x]
──→
AI Patch[*]
──→
PR Opened[+]
WORKS WITH YOUR TOOLS
GitHubVS CodeCursorClaude DesktopSlackGitHub Actions
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Documentation Coverage, Accuracy & Automation

Symbol-level accuracy

We hash your AST, not your prose. No guessing which docs need updating.

Agent context files

Auto-generated .mint, CLAUDE.md, AGENTS.md, and llms.txt from live symbols.

Live sync + CI

Watch mode for local dev. CI integration for GitHub Actions.

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Everything you need to keep docs alive

01SYMBOL-LEVEL DRIFT DETECTION▼
Your function gained a parameter. Your return type changed. Your class got a new method. Documint knows — because it hashes your AST, not your prose. Every push is diffed at the symbol level. When signatures change, the exact stale doc sections light up instantly.
- execute(input: string): Result + execute(input: string, retry: RetryPolicy): Result DRIFT: docs/api-reference.md § "Execute" is stale DRIFT: AGENTS.md § tool "execute" has wrong params
02AI PATCHES THAT VERIFY THEMSELVES▼
A fast model reads the diff and maps it to doc sections. A powerful model writes a surgical markdown patch — only the stale paragraphs, not the whole doc. A verifier checks the patch against the actual code. If it fails, it retries. You just approve and merge.
Analyze diff→Write patch→Self-verify→You approve
03.MINT — YOUR CODEBASE AS A KNOWLEDGE GRAPH▼
Every function, every type, every relationship — extracted from your AST and packaged into a single .mint file. AI agents that read it understand your API at the symbol level. Not from a stale README. From the actual code, verified against the actual docs, refreshed on every push.
documint.mint (313 symbols, 24 files, 0.20s) ├─ SYM: full API graph with typed params + returns ├─ REF: exact file:line source references ├─ AIC: AI instructions (trust SYM over NAR) └─ exports: CLAUDE.md, AGENTS.md, llms.txt, API.md
04REAL-TIME WATCH MODE▼
Save a file. Documint parses the change in milliseconds, diffs the symbol table, and shows you exactly what drifted — the old signature, the new one, which doc section is now wrong, and the command to fix it. No waiting for CI. No context switching.
05CI THAT BLOCKS STALE DOCS▼
Add one line to your GitHub Actions. If docs are stale, the build fails. Every PR gets a summary table: which symbols changed, which docs drifted, severity level. Your team can never merge stale documentation again.
06LEARNS YOUR WRITING STYLE▼
Every patch you approve is stored. Documint learns how your team writes — the tone, the level of detail, the formatting conventions. By the tenth approved patch, the AI drafts in your voice. Powered by Voyage reranking over your approved patch history.
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Install the CLI, MCP Server, or API

Connect your repo and run your first documentation drift scan in under 30 seconds.

npx @documint/cli@latest init
npx @documint/cli@latest generate
npx @documint/cli@latest status
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Early access users

What developers say about Documint

“Documint caught 8 stale API docs in our first week. No more "I thought we updated that".”

Sarah C.
Platform Engineering Lead

“The .mint files are game-changers for Claude. We can now give context to 50 endpoints in one request.”

Marcus J.
Staff Engineer

“We went from quarterly doc audits to real-time validation. This is how docs should work.”

Elena R.
DevRel Lead
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Pricing — Free Documentation Drift Detection to Start

PLAN

Developer

Free

For personal projects

  • 1 repository
  • 100 scans/month
  • Basic drift detection
  • Community support
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PLAN

Pro

$49
/month

For small teams

  • Unlimited repos
  • Unlimited scans
  • AI patch generation
  • CI/CD integration
  • Slack notifications
  • Priority support
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PLAN

Enterprise

Custom

For large organizations

  • Everything in Pro
  • SSO + SAML
  • On-premise option
  • Dedicated support
  • Custom integrations
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EARLY ACCESS

Join the waitlist for early access

Be first to get symbol-level drift detection, AI patch generation, and .mint context files for your codebase.

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