How AGENTS.md and agent skills improve coding agents, reduce mistakes, and make AI IDE workflows more reliable and project-aware.

A CTO outlines his case for how leaders should prioritize complex thinking over framework knowledge when hiring engineers for the AI era.

Learn practical techniques to reduce token usage in LLM applications and build more cost-efficient, scalable AI systems.

Ikeh Akinyemi explores whether splitting work across AI agents actually saves time, and why coordination, not just parallelism, determines success:.

Compare the top AI development tools and models of March 2026. View updated rankings, feature breakdowns, and find the best fit for you.

Buying AI tools isn’t enough. Engineering teams need AI literacy programs to unlock real productivity gains and avoid uneven adoption.

If your AI app or agent works perfectly in development but falls apart in production, you’re not alone. In a […]

Learn how to solve the LLM context problem with RAG, pruning, summarization, and tool loadouts for more reliable AI systems.

A practical guide to building a fully local RAG system using small language models for secure, privacy-first enterprise AI without relying on cloud services.

Explore how the Universal Commerce Protocol (UCP) allows AI agents to connect with merchants, handle checkout sessions, and securely process payments in real-world e-commerce flows.

Learn how to recreate Claude Skills–style workflows in GitHub Copilot using custom instruction files and smarter context management.

Claude Code is deceptively capable. Point it at a codebase, describe what you need, and it’ll autonomously navigate files, write […]