
Why Even Staff Engineers Feel Behind on AI Right Now! (You are not alone!)
The “prompt-and-pray” era is over — and that’s a good thing.In this episode, we break down why AI “magic” collapses under real production traffic (edge cases, hallucinations, messy inputs, and even infrastructure-level failures)… and what replaces it: actual AI engineering.Danny frames the shift with four architectural pillars that make LLM features shippable and reliable:- State orchestration (stop treating models like employees — they’re stateless CPUs)- Constraint generation (JSON forcing, schema-driven outputs, type-safe sampling)- Infrastructure reliability (retries, backoff, fallbacks — because inference can and will fail)- Regression testing & evals (measure prompts like code, break builds when quality drops)SITE https://www.programmingpodcast.com/Stay in Touch:📧 Have questions for the show? Or are you a business that wants to talk business?Email us at dannyandleonspodcast@gmail.com!Danny Thompsonhttps://x.com/DThompsonDev / dthompsondev www.DThompsonDev.comLeon Noelhttps://x.com/leonnoel / leonnoel https://100devs.org/📧 Have questions for the show? Or are you a business that wants to talk business?Email us at dannyandleonspodcast@gmail.com!We also hit the reality of agent “throughput” vs human review bottlenecks (Phoenix Project vibes), why monolithic agents are a trap, and a listener question about networking + credibility after pitching an MVP that isn’t fully shipped yet.If you’re building AI features for real users — not demos — this is the blueprint.00:00 — The “prompt-and-pray” era is over02:49 — AI hype fades: guardrails + reality06:34 — Deterministic software vs probabilistic models07:29 — The 4 pillars of AI engineering (overview)11:37 — Pillar 1: state orchestration (FSM, stateless models)20:26 — Pillar 2: constraint generation (JSON, schemas, type safety)28:28 — Pillar 3: infra reliability (retries, fallbacks, failures)32:21 — Pillar 4: evals + regression testing (LLM-as-judge)43:40 — Listener question: networking, MVP pressure, and credibility
























































