
What happened
The tfstylus developer says AI gave wrong parameters for goreleaser's Homebrew cask setup, and that free-tier models were "completely useless" in many cases.
Why it matters
The developer says the whole project still reached a working state in about two weeks, far faster than in the past, suggesting AI can speed up small automation projects even when it is unreliable.
Summaries like this, every morning.
The tfstylus post is a first-person account of building a small tool for tidying Terraform code with AI support. Beyond the hallucination problem with goreleaser's Homebrew cask parameters, the developer describes a broader pattern: when the topic was unfamiliar, AI's suggestions were often accepted, but as understanding grew, the developer became more skeptical and sometimes wasted time taking over manually. One practical fix the developer found late was to keep tests untouched and let AI revise only the implementation content, since unlike a colleague, AI can be asked to redo work repeatedly without emotional cost.
The release side proved slow. The developer had never handled goreleaser or Homebrew directly, and a version change in the build environment broke linting for three days. The developer attributes this partly to a preference for staying on the latest versions, and notes that pinning to slightly older versions may be a reasonable strategy when stability matters.
The developer's main conclusion is that AI's knowledge is only existing collective knowledge, so trying to stay on the very latest invites hallucination, and stepping back one version can be easier. The developer also says the hardest part may have been psychological: AI's speed pushes developers toward AI-paced schedules, and deliberately returning to human-paced thinking was the real challenge.
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