System of record for AI-native teams

Code is reality.
Specs are intent.
BlueGraph closes the delta.

AI agents ship code 10× faster — and teams lose coherence just as fast. BlueGraph replaces Jira and Notion with a living graph of your system that detects drift, triages what breaks, and dispatches agents to fix it.

Join waitlist

free during beta · no credit card

CODEreality

What your system actually does today, as reflected in your repository.

SPECintent

What your system should do — living documents maintained per component.

Δ DELTAmismatch

The gap between the two — where bugs, drift, and missed edge cases live. BlueGraph detects and resolves it, continuously.

The problem

Agents made shipping cheap. Coherence is now the bottleneck.

01

Specs die on arrival

Written once, outdated in days. No one updates them.

02

No system-level visibility

Jira shows tasks, not system health. Leaders are blind.

03

Stakeholders can't participate

Non-technical leaders have no way into the development loop.

04

Fragmented workflows

GitHub, Sentry, Notion, Linear — all disconnected. All manual.

The product

Living specs, kept true to your code

bluegraph.app
acme-platform/ treeSearch components…⌘KMRJDSL+5ShareCOMPONENTS13 totalsynceddriftno specAppMRWebTRAuthJDDashboardSLBillingAKAPIMRRoutesENRate limiterSLWebhooksDKDataTRDatabaseJDCachePWNotificationsAKSpecIssues4DiscussionActivityAPImain@a1b2c3fBackend service & request layerMRMaya Rodriguez · OwnerSpec drift detectedInterface documents 4 routes — code exposes 6. Two are undocumented:+ POST /v1/webhooks/retry+ GET /v1/usage/daily→ dispatch adds both to the spec, closing the code ↔ spec deltaDispatch agent to sync →OverviewStateless HTTP layer fronting allclient traffic from web + mobile.Flowauth → rate limit → handler → responseerrors normalized to problem+jsonBuildHono on Fluid Computeone handler per route fileInterfaceREST /v1 with cursor-paginated listswebhooks signed with HMAC-SHA256Validationno unauth routes · typed responsesp95 < 200ms enforced on every PRConsumersWeb, Mobile, 3 internal services≈ 1.2M requests / dayspec v3 · authored + code-checked · edited 2h agoOpen full spec →
01

Component graph

Your entire system as a navigable, hierarchical graph — owners, issues, discussions, and code health per component.

02

Living specs

Auto-generated from code, kept in sync. Drift is flagged before it ships.

03

Agent dispatch

Assign issues to Cursor or Cline agents from the graph. They get structured context and return ready-to-review PRs.

04

Automated triage

Monitoring signals are clustered, AI-triaged, and filed as deduped issues on the right component.

05

PR guardrails

Every PR is checked against component constraints and goals — deterministic rules first, LLM only when ambiguous.

06

Code health

Every prod push re-checks affected components: up to date, needs recheck, or drift detected.

The pipeline

Fourteen services watched. Zero dashboards babysat.

Errors, slow queries, failed webhooks, cert expiry, usage spikes — every signal is normalized, clustered, AI-triaged, and filed as a deduped issue on the right component.

collect
normalize
triage
issue filed
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How it works

From repo to running system in minutes

01

Connect

Link GitHub and the services you run. BlueGraph scans your codebase and discovers components automatically.

02

Map

A living graph is generated. Specs, constraints, and goals are inferred per component. You refine and own them.

03

Monitor

Errors, drift, and prod pushes are continuously analyzed and mapped to the right component.

04

Execute

Assign issues to coding agents with one click. They return PRs validated against your constraints.

Early access

Ready to let your codebase run itself?

Join teams building with AI agents who use BlueGraph to stay coherent at speed.

free during beta · no credit card