AI Agents in 2026: Beyond Chat to Autonomous Development
How AI agents evolved from Q&A to autonomous task execution. Patterns, pitfalls, and practical implementations from building production AI tools.
How AI agents evolved from Q&A to autonomous task execution. Patterns, pitfalls, and practical implementations from building production AI tools.
Building the nsip-api-client to make sheep genetics data accessible to breeders. A Python library bridging software development and precision agriculture.
Why I made ontology a first-class requirement in the MIF standard, and how the cognitive triad connects persistent memory, semantic frameworks, and signal detection into a coherent AI architecture.
Google doubles down on Gemini 3, new AI agent research drops on ArXiv, and six new tools for AI-powered development.
Architecture Decision Records without file clutter:git-adr stores ADRs in git notes, avoiding merge conflicts while keeping decisions tied to your commit history.
Claude Code plugin for autonomous market research with report generation, GitHub issues, and three-valued trend analysis. Research smarter, not harder.
A novel approach to testing AI coding assistants from within the conversation using Claude Code's hook system to create a self-driving test loop.
Practical implications of expanding context windows - what works, what doesn't, and optimal strategies for using 200K+ token contexts in development workflows.
A simple trick doubles LLM performance on hard problems: repeat your prompt twice. Token visibility mechanics explain why this works.
AI innovation accelerating and self-reinforcing: Claude Cowork built in 10 days, Anthropic hits 90% AI-generated code, ChatGPT enters healthcare.