Engineering In The Age of AI Insights & Best Practices
Learn how to improve code quality, boost developer productivity, and build better software with AI-powered development workflows.
Security
Coding Agent API Keys: Least Privilege Design for Safer Code Review
Design least privilege API key boundaries for coding agents with scoped credentials, policy checks, and code review gates that reduce security risk.
Best Practices
Reviewing AI-Powered Rewrites: The Artifacts Reviewers Need
Review AI powered rewrites with linear walkthroughs, evidence packs, risk tiers, and tests so large diffs stay safe and reviewable.
Security
Anthropic Distillation Attack Explained: Why It Mattered and How Distillation Works
Understand the Claude distillation China incident, Anthropic's distillation attack report, and how knowledge distillation works with teacher-student training.
Best Practices
Evidence-First AI Code Review: Backpressure for the Code Is Cheap Era
Build evidence-first AI code review with tests, context packs, and verification loops that keep quality high, backpressure low, and reviewers confident.
Best Practices
Agentic Engineering Code Review Guardrails: Keep AI Changes Safe
Build guardrails for agentic engineering with risk tiers, tests, review gates, and metrics that keep AI generated code safe in production.
AI Models
How Knowledge Distillation Works: An Academic Guide for Engineers
Learn knowledge distillation from first principles with equations, training regimes, and practical diagnostics for engineers with AI experience.
Best Practices
Harnessed Coding Agents: What Minions and Codex Teach About AI Code Review
Learn how harnessed coding agents change AI code review, with verification loops, tool contracts, and quality metrics that keep reviews reliable.
Best Practices
AI Coding Agent Guardrails: Sandboxing, Prompt Caching, and Code Review Gates
Learn how to deploy AI coding agents safely with sandboxing, prompt caching, and risk-based code review gates that reduce incidents and keep teams fast.
Best Practices
Post-Benchmark AI Code Review: Build Evals That Predict Real PR Outcomes
Learn how to build AI code review eval loops that go beyond benchmarks and predict real pull request outcomes, risk, and review quality.