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Code as Throwaway

#concept

Summary

When the cost of writing code trends to zero, code stops being a precious asset. Multiple sources converge: kill code without guilt, stop guilt-merging, and move your value up the chain from producing code to directing and verifying it.

Current Understanding

  • Cost → zero. Sebastian: "It's not a question if AI can write software anymore — it's just a question of how you use it." Most code isn't high-value; open source will grow because giving away near-free code costs little.

  • No sunk-cost guilt. Theo: reset instead of "guilt-merging" a PR someone spent a week on — and an under-appreciated gift of agents is that there's no guilt throwing away an agent's work. "We are not looking at asm anymore."

  • The role shift. The engineer moves from writing the solution to framing the problem and verifying the result — see product-ownership. Sebastian's printer anecdote: his edge wasn't Java, it was knowing how to instruct and verify (Claude Code solved it in ~30 min).

  • New bottom tier. Theo's "G-brain tier" — a markdown file as executable prose replacing a whole service — is the logical endpoint: if code is disposable, prose that regenerates it is the artifact worth keeping. Connects to skills-as-memory.

  • The discipline side. Theo's follow-up talk turns "disposable" from an attitude into a practice: draw the line between code-that-ships and code-that-doesn't, keep (or raise) hand-verification on the ship side, and generate 10010,000× more never-shipped code to verify and explore — see make-more-cheap-code. Disposable ≠ ship slop; he explicitly disowns that reading.

  • The trust carve-out. Eugene puts a date and a boundary on it: "Code isn't something elite anymore. From 4.6 on, the code is safe enough — though authorization and payments I still wouldn't trust to Claude." Cheap code does not mean uniformly trusted code; the exceptions are where a silent error is unrecoverable rather than merely wrong. Consistent with the safety-critical exception noted below.

Caveat: legacy/hobby niches persist (COBOL in banks — no training data; coding "for the love of it, like an old-timer car") — but not where time, quality, and money matter.

Evidence

Contradictions / Uncertainty

  • "Most code isn't high-value" is a generalization; safety-critical/regulated code is a clear exception (see enterprise-ai-reality).

Next Questions

  • If code is throwaway, what is the durable artifact — the prose spec, the skill, the tests, or the verification harness? (Partially answered 2026-07-24: Theo names the verification harness a first-class output — "plan 10,000 lines of AI-generated verification" per critical module — alongside the prose that regenerates the rest. See make-more-cheap-code. Whether skills or harnesses are the more durable of the two remains open.)