Documentation Best Practices
Documentation best practices for consultancies include writing for scanability, keeping records close to delivery work, avoiding duplication, and updating docs as change requests land.
Posts
- Architecture Notes That Drift: How ERP and CRM Customizations Outpace Their Own Documentation
- Why Did We Make That Call? Capturing Client Workshop Decisions Before the Trail Goes Cold
- When the Change Request Closes, the Documentation Doesn't Update Itself
- Why CRM Implementation Projects Lose Requirements Between Discovery and Go-Live
- When ERP Practices Should Use Living Delivery Records Instead of Client Wikis
- When AI Writes the Docs, Who Checks the Work?
- Why CRM and ERP Firms Abandon Client Wikis: Documentation Fatigue in Delivery
- When the Auditor Asks, the Wiki Lies
- When the Docs Say One Thing and the Product Does Another
- How to Build an Engineering Knowledge Base That Updates Itself
- Where Tribal Knowledge Lives: What Engineering Team Surveys Actually Show
- Architecture Docs That Actually Reflect Your Codebase
- How to Keep Runbooks and ADRs in Sync with Your Codebase
- When to Use Generative Docs vs. Traditional Wikis (And When the Wiki Is Already Wrong)
- Source-Linked Documentation Beats Traditional Wikis. Here's the Proof.
- Traceability in Technical Documentation: Why It Matters
- How to Keep Engineering Docs Current by Connecting GitHub, Slack, and Linear
- How to Link Implementation to Documentation Using Linear Ticket Context
- PR-to-Doc Pipelines: Turning Code Reviews into Living Documentation
- How to Build an Engineering Knowledge Base Without Manual Writing
- How RAG and Source-Linking Improve Documentation Accuracy
- How Traceability Improves Trust in AI-Generated Documentation
- How to Extract Documentation from Code Reviews: What to Capture and What to Skip
- How to Keep Architecture Documentation in Sync with Your Codebase
- How Engineers Verify AI-Generated Documentation: Building Trust Through Traceability
- When to Use Generative Documentation vs Traditional Wikis
- How to Keep Documentation Current: Connecting GitHub, Slack, and Linear
- Generative Documentation Adoption: Current State of AI-Powered Docs in Engineering Teams
- How to Build an Engineering Knowledge Base That Updates Automatically
- Why Source-Linked Documentation Beats Traditional Wikis for Engineering Teams
- Slack Integration for Documentation: Capturing Context from Team Discussions
- Traceability and Trust: How Engineers Verify AI-Generated Documentation
- Where Tribal Knowledge Lives: Surveys of Engineering Teams
- Adoption of Generative Documentation Tools: Current Landscape
- Why Traceability Matters in Technical Documentation
- Scaling Documentation as Your Engineering Team Grows
- Decision Logs: Capturing the 'Why' Behind Code Changes
- Incident Response with Traceability: What Actually Helps
- Onboarding with Context: How Engineering Teams Ramp Faster
- Why Source-linked Documentation Beats AI Summaries
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