AI is reshaping engineering teams emotionally as well as technically. A CTO shares insights on fear, trust, burnout, identity, and leading through AI change.
Learn what context rot is, why AI agent sessions degrade over time, and how to fix it with compaction, prompt anchoring, context files, plan files, and RAG.
AI companies are buying developer tools as coding agents turn runtimes, package managers, and linters into strategic infrastructure.
Learn how AI-assisted development governance uses rules, agents, hooks, and protocols to help AI coding tools produce safer, more consistent code.
A deep dive into May 2026’s AI model and tool rankings. We break down performance, usability, pricing, and real-world capabilities across 50+ features to help you pick the right tools for your development workflow.
A practical guide to Agent Browser CLI. Learn how AI agents navigate, snapshot, and interact with web pages using stable references, enabling efficient automation and exploratory testing.
Write agent-friendly API documentation with OpenAPI, clear schemas, workflow guidance, and llms.txt for safer AI automation.
Local AI proxy tutorial for detecting, masking, and rehydrating PII before prompts reach cloud LLMs.
Learn how Graph RAG uses connected knowledge structures to improve retrieval beyond simple text similarity.
AI-generated tests can speed up React testing, but they also create hidden risks. Here’s what broke in a real app.re
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.
