Admitting I Don't Know in the Age of AI
Why working with AI makes uncertainty, good questions, explicit assumptions, and verification essential to reliable software engineering decisions and outcomes.
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6 articles in this topic.
Why working with AI makes uncertainty, good questions, explicit assumptions, and verification essential to reliable software engineering decisions and outcomes.
A practical story about using Codex to assess AWS spend, tune S3 lifecycle policies, absorb a transition spike, and reduce recurring cloud costs safely.
A personal reflection on five years at Intré as a learning organization, through guilds, community, AI, and a software culture built around growth over time.
A personal reflection on moving from solitary discovery-based coding to a more explicit, agent-managed way of thinking about software work with Codex.
A field report on building a small Paperclip company that discovers issues, opens focused open-source pull requests, and follows up with human review.
A field report on turning family road-trip planning into a small n8n organization of specialized AI agents, shared memory, and travel-specific knowledge bases.