Podcast summary
AI That Codes: Paul Ford on the Future of Software
Vibe coding replaces drudgery with new bottlenecks
AI coding shifted from “assistant” to systems that can generate substantial working software quickly, but organizations still struggle to adapt—so the hard part moves from code production to product judgment, verification, and governance.
AI makes last-mile reliability the review job
Even when code runs, failure modes persist (wrong external facts, missing links, untested one-offs). The transcript argues teams increasingly become QA/reviewers, because prompting can produce “usable” output without guaranteeing correctness.
The real leverage is querying existing systems
Beyond writing new apps, AI reduces friction for bespoke needs inside existing tools: “ask questions of your systems” and generate reports or features from platforms like Salesforce. That changes who controls small changes and where value accrues.
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