May 27, 2026 Monkey, Machine Gun, Aimbot: AI Governance for Coding Teams AI code governance isn't about taking tools away from junior developers and AI agents. It's about installing guardrails that make every shot hit the target without collateral damage. governanceai-codingjunior-developersautotomysoftware-architecture
May 26, 2026 Fear vs. Steamroll: The Two Realities of AI Coding AI coding works for elite teams who recover from any mess. Everyone else gets fear, failed CI, and abandoned experiments. The gap isn't the model. ai-engineeringsoftware-architectureproductionai-codebaseteam-dynamics
May 24, 2026 AI Coding in Production: Why Most Teams Quit Most teams try AI coding, ship code that fails QA, and quit. The problem isn't the model—it's the absence of guardrails that make AI output trustworthy. ai-engineeringsoftware-architectureproductionautotomyai-codebasebest-practices
May 22, 2026 Why Version One Is Never the Problem: AI Coding and Long-Term Maintenance AI coding tools excel at generating version one. The real engineering challenge starts at version four, when the team needs to change something without breaking everything else. ai-engineeringsoftware-architecturerefactoringai-codebaselong-term-maintenance
May 22, 2026 AI-Generated Code and the Replaceability Principle The real measure of AI-generated code quality is not whether it works on day one. It is whether you can replace it on day thirty without rewriting everything else. ai-engineeringsoftware-architecturereplaceabilityai-generated-codemaintainability
May 22, 2026 Deterministic Guardrails for AI Codebases Human review is inconsistent. AI review is worse. The only scalable defense for AI-generated codebases is deterministic enforcement: rules that fail the build, not suggestions that get ignored. ai-engineeringsoftware-architectureguardrailssemgrepci-cdcode-review-automation
May 16, 2026 Meteor Development Is Real. Your Codebase Does Not Have to Collapse With It The meme is funny because teams really do build against moving targets, fixed launch dates, and half-decided scope. ai-engineeringsoftware-architectureautotomyproduct-developmentguardrails
May 16, 2026 Stanford CS146S Is Right About AI Coding. The Missing Subject Is Architecture A Stanford CS146S review and critique: the inaugural Fall 2025 course gets AI coding right, but the missing lesson is AI architecture and replaceability. ai-engineeringsoftware-architecturestanfordcs146sguardrailsagentic-development
