The DocPilot Blog
Notes on AI documentation from the team building it.
Playbooks for engineering leaders, deep dives into code intelligence, and lessons from running the Onzira Labs platform in production.
python
Python Documentation Automation: Sphinx vs AI-First Tools
Sphinx has powered Python docs for two decades, but AI-first generators are changing the workflow. Here's how they actually compare on real projects.
typescript
TypeScript Documentation Best Practices for Growing Teams
Strong TypeScript types catch bugs early, but without documentation, the meaning behind them gets lost. Here's how growing teams keep their types self-explanatory.
antipatterns
The 10 Documentation Antipatterns Killing Your Team's Velocity
Every engineering team swears documentation matters. Then nobody reads it, nobody updates it, and velocity grinds to a halt. Here are the antipatterns that cause it.
confluence
How to Migrate from Confluence to Modern Documentation Platforms
Confluence is great at capturing knowledge and terrible at letting teams find it. Here's how to migrate cleanly to a platform engineers actually want to use.
fintech
Documentation for Regulated Industries: Fintech, Healthcare, Compliance
Most documentation fails in regulated industries for the same reason it fails everywhere — it is written once and never maintained. Here is how teams in fintech, healthcare, and compliance build docs that hold up to audits, security reviews, and onboarding.
cost-savings
Cutting Your Docs Team Costs by 60% with Continuous Documentation
A 40-person engineering org was spending $28k/month on documentation. Six months later, that number dropped to $11k. Here's the exact playbook they used.
industry-report
The State of Developer Documentation in 2026: Industry Report
We surveyed 1,200 engineering teams and audited 400 public docs sites. Here's what developer documentation actually looks like in 2026, and where it's heading next.
startups
Why Your README is Costing Your Startup Investors and Users
Your README is the first conversation your codebase has with an investor, a hiring engineer, or a future user. Most startups treat it like a footnote — and pay for it in conversion, credibility, and runway.
readme
The Anatomy of a Perfect README File (With Examples)
Most READMEs die in the first three lines. Here's the structure that turns a forgotten repo into something people actually clone, read, and contribute to.
ai
How to Choose an AI Model for Documentation Generation
Not every LLM is built for documentation. Here's how to evaluate models on accuracy, context, cost, and code-aware output before you wire one into your docs pipeline.
github
Building a GitHub App: A Complete Developer Guide
A practical, code-first walkthrough that takes you from an empty repo to a deployed GitHub App handling webhooks and authenticated API calls.
postgres
Postgres + pgvector: Building Vector Search for Documentation
You don't need a separate vector database to make documentation searchable by meaning. Here's how to build semantic search on top of Postgres using pgvector—and what to watch out for once you scale.