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Engineering Wiki

A codebase wiki that writes itself.

Entelligence indexes your repos, incidents, and coding sessions to build a comprehensive engineering wiki for your org. Architecture docs, runbooks, error pattern guides, and skill insights: always current, never manual.

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engineering-wikiauto-generated
  • Architecture2
  • Runbooks1
  • Error patterns1
  • Skill insights1
  • ARCHauto-docpayments/retry.ts: Retry Strategy OverviewUpdated from PR #4821 · 2 patterns linked
  • RUNBOOKfrom incidentsIncident Response: connection pool exhaustionSourced from INC-892, INC-1041 · 3 steps
  • PATTERNSactiveError pattern EKU-4471: idempotency timeout7 occurrences · root cause documented
  • SKILLSinsightTop skill gap: context reuse in long sessionsAffects 4 engineers · recommendation attached
  • ARCHauto-docauth/middleware.ts: OAuth 2.0 flowUpdated from PR #5102 · last modified today
100%of docs generated automatically from your real codebase
0 hrsof manual documentation required from your team
Alwaysin sync, wiki updates when your code and incidents do
The Problem72%

Your codebase is undocumented. Your agents pay for it every day.

Architecture decisions live in Slack threads. Runbooks go stale. New engineers spend weeks asking questions no one has written down.

Searching for docs that don’t exist

high4.2 hrs/wk

Onboarding takes weeks, not days

high3–6 wks

Runbooks written once, never maintained

medium+40 min/incident

Same incidents, rediscovered from scratch

mediumrecurring

Tribal knowledge walks out the door

lowirreversible

0 hrs

of manual writing required with Entelligence

Context at every stage

The right knowledge injected at every stage of the pipeline.

Coding agents are only as good as the context they have. The wiki feeds generation, review, and incident response with exactly what’s needed at each stage.

generate0146% fewertokens per generation session

Fewer tokens. Better first drafts.

The wiki feeds existing patterns and module context to your agent upfront, so it generates closer to correct without wasting tokens reinventing what already exists.

Wiki injects
  • payments/retry.ts: existing backoff patternarch-docs
  • withConnection(): established pooling patternarch-docs
  • EKU-4471: idempotency timeout, avoid this patternincident-patterns
review023x fasterreview cycles on high-risk changes

Catches issues that have happened before.

The wiki surfaces matching incident patterns for the code being reviewed. Known failure modes get flagged before they merge, not after they page someone.

Wiki injects
  • EKU-5120: race condition in concurrent retriesincident-patterns
  • PR #2841: conn.acquire() leak, same patternincident-history
  • Runbook: connection pool exhaustion linkedrunbooks
respond0368% fastermean time to resolution

Root cause in seconds, not hours.

When an incident fires, the runbook and past root causes are already in context. Your agent starts from a known baseline instead of blank, cutting MTTR from hours to minutes.

Wiki injects
  • Runbook: connection pool exhaustion, 3 stepsrunbooks
  • EKU-3892: prior root cause at processor.ts:246incident-patterns
  • Fix history: withConnection() resolved in PR #2842incident-history
What the wiki covers

Four layers of knowledge, built automatically.

From architecture docs to runbooks to skill insights, Entelligence builds and maintains the full knowledge stack your engineering org needs.

index01Codebase Documentation

Architecture docs that stay current with every PR.

Entelligence reads your repositories and generates structured documentation for modules, services, and key patterns. Every merged PR triggers an update, so the wiki reflects your code, not a snapshot from six months ago.

codebase-docs / payments
  • payments/3 modules documented
  • retry.tsupdated
  • processor.tsupdated
  • webhooks.tsSignature verification, event dispatch
  • auth/2 modules documented
  • middleware.tsupdated
capture02Incident Pattern Library

Error patterns documented the moment they’re resolved.

When incidents are triaged and closed, Entelligence captures the root cause, affected files, and fix approach into your wiki’s error pattern library. The next engineer who hits the same issue finds the answer in seconds.

incident-patterns / active

  • EKU-4471: idempotency timeout on retryhigh

    payments/retry.ts:88 · 7 occurrences · fix documented

  • EKU-3892: connection pool exhaustionresolved

    payments/processor.ts:246 · 3 occurrences · runbook linked

  • EKU-5120: race condition on concurrent retriesactive

    payments/retry.ts:112 · 2 occurrences · fix in review

respond03Automated Runbooks

Step-by-step response guides built from real incidents.

Entelligence synthesizes resolution steps from closed incidents and structures them into actionable runbooks. When the same issue recurs, your team knows exactly what to do. No war room needed.

runbook / connection-pool-exhaustion
  1. 01Trigger: latency spike on /payments/processConfirm in Datadog: conn_pool_wait > 200ms
  2. 02Check active connectionsentelligence incident logs EKU-3892
  3. 03Identify leak sourcepayments/processor.ts: look for missing withConnection()
  4. 04Apply fix or rollbackentelligence incident fix EKU-3892 --repo acme/backend
  5. 05Verify recoveryconn_pool_wait < 50ms for 5 min
coach04Coding Skill Insights

Team-wide skill gaps surfaced from real session data.

Entelligence indexes coding sessions across Claude Code, Codex, and Cursor to surface where your team is losing time. Skill gaps, low-efficiency patterns, and personalized recommendations, all in one place.

skill-insights / team

  • Context reuse in long sessionstop gap

    Affects 4 engineers · avg retry rate 18% vs 6% team norm

  • Task scoping before promptinggap

    Affects 6 engineers · reduces rework by ~30%

  • Structured output promptinginsight

    Affects 3 engineers · improves first-pass accuracy

How it works

Connect once. The wiki builds itself.

Entelligence pulls from your existing tools. No manual entry, no templates to fill out. The wiki grows as your codebase evolves and your team ships.

01connect

Connect your repos and tools

Link your GitHub repositories, incident data, and coding agent sessions. Entelligence indexes everything without storing your code.
GitHub + Agents
  • GitHub repositories
  • Incident data
  • Coding agent sessions
02generate

Entelligence builds the knowledge base

Architecture docs are generated from code structure and PR diffs. Incident patterns, runbooks, and skill insights are synthesized automatically.
Auto-generated
  • Architecture docs
  • Incident patterns
  • Runbooks
  • Skill insights
03sync

The wiki stays current as you ship

Every merged PR, closed incident, and new coding session updates the wiki in real time. Your documentation is always a reflection of your actual system.
Always in sync
  • Merged PR
  • Closed incident
  • New coding session
Time saved per engineer4.2h/wk

Engineers spend an average of 4+ hours per week searching for documentation that doesn’t exist or is out of date. Entelligence eliminates that entirely by keeping the wiki current automatically.

Stop documenting by hand.

Connect your repos and tools once. Entelligence builds and maintains the engineering wiki your agents and team actually use.

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  • Connect once, the wiki builds itself
  • No training on customer code
  • Deploy in your cloud, your own keys