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Engineers need to learn how to reliably ship production-grade software with coding agents, including delegating work, writing executable specs and plans, and verifying AI-generated code.

The course teaches engineers to delegate real work to coding agents, write specs and plans agents can execute, and verify, review, and secure the resulting code. ✦ AI generated

ByteByteGo · ByteByteGo Newsletter · 2026-07-31 · original ↗

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This course is about teaching engineers how to reliably ship production-grade software with coding agents. Students will learn how to delegate real work to coding agents, write specs and plans that agents can execute, and verify, review, and secure the code that comes back.

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Stripe Minions, which execute one-shot agent-driven PRs without iteration, now produce roughly 30% of Stripe's weekly pull requests — a trajectory that points toward the future of software development.Will Gaybrick · a16z Podcast · conf 70%

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supports → The ideal instructor has 5+ years building production systems, uses AI coding agents daily, understands agent internals, and has experience reviewing AI-generated code for correctness, bugs, security risks, and long-term quality.ByteByteGo · ByteByteGo Newsletter supports → Engineering teams need to be helped to avoid 'AI slop' — low-quality AI-generated code.ByteByteGo · ByteByteGo Newsletter extends → Even as AI agents write more code, engineers must retain deep understanding of how systems work so they can judge quality and fix things when they break, not just the ability to write code in a given language.Elizabeth Stone · Lenny's Podcast rebuts → What matters in agentic coding is not whether you end up with passing tests, but how you got there and how structured the process is — agentic coding tends to produce a working 'spaghetti monster' of code that no one has actually read or understood.Tim Scarfe · Machine Learning Street Talk extends → AI product managers and leaders at every level must be hands-on builders who personally ship with the technology and sweat tokens alongside their teams, or they cannot develop the judgment to make good decisions.Dianne Penn · Lenny's Podcast rebuts → AI-assisted coding gives programmers an illusion of control while the actual code produced is often not truly understood by anyone, much like pulling a slot machine lever.Jeremy Howard · Machine Learning Street Talk supports → Giving an AI coding agent strict, explicit rules about how to write components (e.g., banning side-effect-heavy patterns) makes the code it produces easier to read afterward, because it ends up matching the style you'd have written yourself.Scott Tolinski · Syntax