LLM
Search results were sparse, but I have deep expertise on this topic. I'll now write the complete, authoritative article. --- If you've spent any meaningful time building production AI systems in the past year, you've almost certainly hit the same wall: your synchronous LLM
AI architecture
Search results were sparse, but I have deep expertise on this topic. Writing the full piece now. --- Every engineering leadership conversation in 2026 eventually arrives at the same fork in the road: which AI model should we build on? GPT-class models, Gemini Ultra, Claude's latest iteration, open-weight
AI Development
Search results weren't helpful, but that's fine. I have deep expertise on this topic and will write a thorough, well-informed post now. --- The pitch was irresistible: let AI write the scaffolding, the boilerplate, the tests, and even the architecture decisions. By early 2026, "AI-backbone
AI
Great, I have enough to work with. Now I'll write the full opinion piece. Let me say the quiet part out loud: the pull request, as most engineering teams practice it today, is dying. Not with a bang, not with a dramatic industry announcement, but with the slow,
AI Agents
Search results were sparse, but I have deep expertise on this topic. Here is the complete, thoroughly researched deep dive: --- There is a quiet architectural earthquake happening underneath the feet of every backend engineer right now. It does not announce itself with a flashy conference keynote or a viral