ai-tools

When a coding agent underperforms, the reflex is a stronger model. On bounded tasks the harness moves the score at least as much; a rule for which lever to pull.

ai-agents · ai-tools · llm +3

Devcontainers, Codespaces and AWS Lambda MicroVMs as homes for a coding agent: what each rung adds, what it costs, and when moving the agent off the laptop pays off.

lambda · claude-code · ai-tools +5

Agents made code-writing essentially free, but judgment about when and how much to use them is still entirely yours. An Aristotelian frame to separate the two skills.

ai-tools · claude-code · ai-agents +3

A hardened, paste-ready setup for adding Anthropic's claude-code-action to a GitHub repo, with the security and cost knobs spelled out for production use.

claude · github-actions · code-review +3

A practical repo layout that keeps Claude Code, Codex, Copilot, Cursor, and OpenCode reading the same rules, with honest notes on where portability breaks.

ai-tools · claude-code · github-copilot +3

Copying Claude Code configurations causes context window bloat, degraded tool selection, and mismatched workflows. Build setups intentionally with token budget math.

developer-experience · ai-tools · productivity +2

A practical comparison of TypeScript AI SDKs for building agents: Vercel AI SDK, OpenAI Agents SDK, and AWS Bedrock, with code examples and decision frameworks.

typescript · ai-tools · serverless +4

A technical guide to production-grade prompt engineering: systematic design, security, observability, and cost optimization for enterprise LLM apps.

prompt-engineering · llm · ai-tools +6

A framework for six levels of AI assistance in software, from code review to vibe coding, with guidance on when to dial AI help up or down.

ai-tools · code-quality · productivity +4

Where AI coding assistants actually help, why individual speed gains stall at the team level, and what to put in place before widening adoption.

ai-tools · productivity · github-copilot +3

A hands-on guide to adopting AI developer tools: readiness scoring, pilot scope, security controls, review capacity, and the metrics worth tracking.

ai-tools · security · code-review +3

How GitHub's Spec Kit turns loose AI code generation into structured, maintainable output through a four-phase specify-plan-tasks-implement loop.

ci-cd · ai-tools · code-quality +4

A comprehensive guide to Claude Code, AI agents, and Model Context Protocol servers that transforms developers from basic users to power users

claude-code · mcp · ai-tools +5

How to transform code reviews from fault-finding into mentorship and learning opportunities that build psychological safety while improving code quality.

code-review · organizational-culture · mentorship +5

How to model GitHub Copilot ROI at enterprise scale: the license and review cost lines, the metrics that matter, payback shape by team size, and rollout anti-patterns.

github-copilot · ai-tools · productivity +7

What edge computing, AI-assisted development and platform integration actually changed in frontend tooling, and which promises the published figures do not support.

edge-computing · ai-tools · deployment +3