Longer-form analysis and deep dives on AI, software, architecture, and leadership.
Code knowledge graphs make coding agents more accurate, faster, and cheaper when you use them for the right jobs. A practical look at Graph RAG, GitNexus, and codebase-memory-mcp, including when not to bother.
Attackers are now poisoning the extensions, npm packages, MCP servers, and AI skills developers install every day. Enterprises need an AI supply chain security layer that discovers, scans, approves, and monitors these tools inside the SDLC.
Cursor, Claude Code, Copilot, and Codex already provide strong base harnesses. The next advantage is an enterprise, domain-aware layer that understands your repos, rules, skills, tools, tests, and context limits.
Memory is what transforms an agent from a stateless tool into something that feels like a collaborator. But memory in production raises hard questions about scope, retention, compliance, and trust.
Going deep into how AgentCore actually runs agents in production, how it manages versions and deployments, and why rolling out agent changes is fundamentally harder than deploying a new API version.
Exploring how to setup OpenAI's Codex, Google's Jules to enhance software development.
A deep dive into CSS Grid, Flexbox, and other modern layout techniques for creating responsive web interfaces.
