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.
Best Practices
AI-Resistant Technical Evaluations: How to Review Engineers in the Coding-Agent Era
Technical interviews and take-homes need to change now that coding agents can beat legacy exercises. Use this playbook to evaluate steering, verification, and judgment instead of pretending AI is absent.
Best Practices
Artifact-First Coding Agents: Why Files Beat Chat Memory in Code Review
Long-running coding agents get harder to review when state lives in a giant chat transcript. Use durable files, HTML artifacts, and provenance packs to keep AI code review fast and trustworthy.
Best Practices
AI Codebase Drift: Cleanup Loops That Keep Agent-Generated Code Reviewable
Agent throughput creates codebase entropy fast. Use structural invariants, cleanup agents, and proof artifacts to keep AI-generated code reviewable.
Best Practices
Prompt Requests vs. Pull Requests: How AI Code Review Changes When Agents Write the Code
AI coding agents are pushing review up a level. Learn why teams now need to review prompts, scope, and evidence alongside diffs, and how to do it safely.
Security
MCP Gateways for Coding Agents: Security and Code Review Controls
MCP is becoming the standard way to connect coding agents to tools. Learn how to review gateways, tool permissions, and approval flows before agent access turns into ungoverned risk.
Best Practices
AI Code Review Needs Eval Provenance for Agent-Run Benchmarks
Coding agent benchmarks are moving fast, but scores alone do not tell engineering teams whether a model is safe to trust in production code review.
AI Models
Long Context Windows and Context Rot: What They Mean for Coding
Long context windows let models see more, but more context can also make them worse. Learn what context rot is, why it happens, and how to use long context well in coding.
Best Practices
AI Code Review Needs a Verification Layer: Why Resolution Rate Beats Comment Volume
AI generated code is driving more pull requests and more review noise. Learn why verification layers, runtime checks, and resolution rate matter more than comment volume.
Best Practices
Agent-First CLI Design: Make Coding Agents Reviewable
Coding agents are moving from 'help me code' to autonomous scheduled runs. This guide covers how to design internal CLIs with structured output, dry-run modes, and review artifacts that make agent output trustworthy.