Ep87: Slow Down to Move Fast + Shift from Coding to Verification

This week, I took a detour with a different kind of productivity and share highlights from two must-read articles on AI-era software development. • My "brain sabbatical": a strategy day for deep focus, ideation, and conference abstract brainstorming. • Upcoming events: • Intro to AI Workshop (https://go.neo4j.com/26Q3NAMVirtualWo...) (Sep 3) • GraphSummit (https://events.neo4j.com/graphsummit-...) NYC (Sep 17) • Northeast US meetup tour (Sep 21–23, Raleigh (https://www.meetup.com/triangle-java-...) , Charlotte (https://www.meetup.com/charlotte-java...) , Richmond (https://www.meetup.com/richmond-java-...) ) • "Domain Knowledge Is the Leverage (https://log.beshr.com/domain-knowledg...) " by Beshr Kayali Reinholdsson: practices like TDD and DDD are more relevant than ever in the AI coding era • Spec-driven development: specs as living decision documents, not page-count exercises • Tests matter more than ever. AI-generated code still needs independent verification. • "Coding Is Solved, Software Is Not (https://arcplane.ai/journal/software-...) " by Gao: writing code is no longer the bottleneck; context, specs, verification, and human checkpoints are • Confirmation bias risk: AI-generated test suites may just validate the implementation the agent already chose • Key takeaway: developers are spending more time on design decisions, domain clarity, and proving the right thing was built Thanks for listening, and happy coding!