My AI adoption journey: lessons from Mitchell Hashimoto
The HashiCorp founder shares his 6-step roadmap for adopting AI agents: from initial frustration to 20% automation. Harness engineering, slam dunk tasks, and practical lessons for your team.
artificial-intelligence
16 Claude agents build a C compiler: technical analysis of the experiment
Anthropic used 16 parallel instances of Claude Opus 4.6 to build a 100,000-line C compiler in Rust. $20,000, 2 weeks, compiles Linux. Technical analysis of how it worked, what we learned, and what it means for software development.
Claude Opus 4.6 vs GPT-5.3-Codex: The Battle of Coding LLMs
Technical comparison of Claude Opus 4.6 and GPT-5.3-Codex: real benchmarks, cost analysis, recommended use cases, and practical tests to choose the right model.
Technical Glossary of AI and Software Development (2026)
40 essential terms about AI agents, software architecture, and modern development. Clear definitions with real examples, use cases, and concrete metrics for CTOs, developers, and founders.
How AI Changes Skill Formation in Development Teams
AI accelerates productivity but slows learning per task. Strategies for your team to grow technically without losing competitiveness.
Jobs to Be Done for AI Tools: A Practical Approach
The most effective AI systems start with clearly defined jobs and specific tools. How to implement JTBD in AI projects.
