Architecture Decision Records: A Practical Guide for Engineering Teams
How architecture decision records help engineering teams capture context, avoid repeated debates, and ship better systems. A practical guide with examples.
Practical advice for engineers who want to ship better software, faster.
How architecture decision records help engineering teams capture context, avoid repeated debates, and ship better systems. A practical guide with examples.
A practical developer onboarding playbook: get a new engineer from first day to first merged PR in under a week, without skipping the steps that matter.
A practical guide to database connection pooling for Postgres and Node.js. Pool sizing, timeouts, PgBouncer, serverless pitfalls, and real numbers.
A practical checklist for reviewing AI-generated code: what to check first, common failure modes, and how to combine AI with human review safely.
A practical guide to designing idempotent API endpoints. Covers idempotency keys, HTTP semantics, storage patterns and the edge cases that usually bite first.
Refactoring legacy code safely: a practical playbook with characterisation tests, seams, strangler fig, and small changes that keep production up.
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A practical guide to identifying and fixing flaky tests. Root causes from timing and async bugs to test pollution, with strategies to stabilise CI.
A practical guide to legacy code analysis: how to audit an unfamiliar codebase, identify risks, map dependencies, and plan a safe path forward.