Infrastructure Protocol

Code changes.
Docs stay current.

GlintOS scans your codebase, detects documentation drift in real-time, and opens PRs with accurate updates — in under two minutes. No humans in the loop.

Real-time drift detection Agent-ready context Sub-2min resolution
glint-core/main — system logs
[SCAN] AST analysis initiated
[DRIFT] auth/login.ts — validate() signature changed
[SYNC] llms.txt updated — 7 nodes
[SYNC] mcp_card.json updated
[PR] Draft ready — #142 — auth docs + schema
[DONE] Drift resolved in 94s
_
94.2% Freshness Index
<2m Avg resolution
98.4% CON score

Documentation rot kills AI accuracy

Every stale line in your docs is a hallucination waiting to happen. When AI coding assistants read outdated context, they generate wrong code, invent APIs, and break trust. Docs don't update themselves — they decay.

Code changes
Docs stay stale
AI hallucinates

The old way breaks at scale. GlintOS closes the loop.

Self-healing documentation pipeline

Five steps. Fully automated. The entire process from code push to resolved drift takes under two minutes.

01

Code Push

Engineer pushes code. A webhook triggers GlintOS to start scanning the diff.

02

AST Scan

Abstract syntax tree analysis maps every function, endpoint, and schema boundary in the changed code.

03

Drift Detection

Signature changes, new endpoints, removed fields — anything that contradicts current docs is flagged.

04

Generate

Accurate documentation is written — with full schema, context, and machine-readable variants.

05

Sync & PR

Docs are updated. A PR is opened. Reviewer approves. Done. Zero manual work after the push.

Built for AI agents, not just humans

Every sync produces outputs optimized for the tools reading your codebase today — AI coding assistants, MCP clients, and code intelligence systems.

llms.txt

Machine-readable documentation context. AI coding assistants use this to understand your APIs, endpoints, and patterns without hallucinating.

## Glintbase API v2
POST /v2/sync — sync node state
GET /v2/health — engine heartbeat
mcp_card.json

MCP server card for AI tool discovery. Enables autonomous agents to find and use your codebase's tools without manual configuration.

{ "name": "GlintBot",
"tools": [resolve_drift, ...]
}
Schema sync

Type definitions, response shapes, and API contracts stay current across every sync cycle. JSON, TypeScript, OpenAPI — your call.

/* auth/login.ts */
validate(OAuthToken)// was string
<2min
Average time from code push to drift-resolved PR
94.2%
System-wide documentation freshness index
98.4%
Consistency score on recent sync operations
7
Nodes synced per drift event on average

Documentation shouldn't be a manual chore. It shouldn't be a quarterly review you forget about. It shouldn't be the thing that makes AI assistants unreliable. Documentation should update itself — the moment the code changes. That's the only way to trust what you read.

GlintOS was built on one conviction: perfect documentation is a byproduct of a well-designed pipeline, not a result of discipline and willpower.

Documentation that keeps up with your code.

Always current. Always accurate. Always agent-ready.