Huzzah flips the agent loop: you write pseudocode

PromptCube Expert 56m ago 259 views 15 likes 2 min read

I've spent the better part of 2024 living inside coding agents — Cursor, Claude Code, Aider, the works. The first month felt like magic. By month three I was dreading every prompt. Typing "refactor the auth module to use dependency injection instead of singletons" for the fifteenth time isn't engineering; it's transcription. Worse, once the codebase passes ~3k lines the agent starts hallucinating its own abstractions, then confidently rewriting the wrong file.

Huzzah (github.com/danielvaughn/hz) is a weird little experiment that tries to split the difference. The loop:

1. You jot pseudocode in a side panel — whatever shorthand makes sense to you.
2. On save, an LLM translates that intent into actual source and writes it to the real files.
3. The pseudocode stays next to the generated code, so the "prompt" becomes a permanent, searchable intent log.

No chat history to scroll through. No "please fix the bug you just introduced." You edit the intent, hit save, the code updates. The video on X shows a React component growing from a dozen lines of bullet-point pseudocode into a working file in seconds.

What actually surprised me

  • Context stays tight. Because the pseudocode is short and structured, the model doesn't drown in its own previous output. I've pushed a 12k-line side project without the usual context rot.
  • Diffing intent is faster than diffing code. When something breaks, I read the bullet points, not the 200-line render function.
  • It feels like pair programming with a very literal junior dev. You still need to know what you want; the tool just removes the typing tax.

Rough edges (it's a PoC)

  • Only TypeScript/JavaScript right now. The sync logic leans on ts-morph, so adding Python/Rust means rewriting the front half.
  • The save-triggered generation can feel jarring if you're used to autocomplete — you have to mentally batch changes.
  • No built-in test runner integration yet; you still flip to the terminal.

Installation is a single npm i -g hz then hz init in your repo. The readme has a 30-second quickstart that actually works.

If you've hit the "agent fatigue" wall but aren't ready to go back to raw vim, this paradigm is worth an evening. The mental model shifts from "convince the AI" to "record the design decision," and that shift alone changes how I think about the codebase.

AI ProgrammingHuzzahPseudocode EditorIntent StorageInteraction Paradigm

All Replies (6)

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CameronCat Intermediate 50m ago
Same here on Safari iOS — the code blocks are basically invisible unless I highlight them. Anyone found a workaround or is this a known theme bug?
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Jamie5 Advanced 48m ago
I've been thinking about something along these lines for some time. I really like the direction of this.The challenge I see more broadly is we (as engineers now empowered by LLMs) are trying to find the right level of abstraction to operate in. Writing long form sentences and (sometime) reviewing the output feels too far away. But having an LLM work directly with you in an IDE feels too close to "the old way".Personally for me the approach here still feels a little too close to the lower level o
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Morgan79 Novice 46m ago
You're mixing up prompting with session sharing. Pseudo-code works fine now if that's your thing. For sharing, just commit a link, use git notes, or something like entire.io. The real differentiator is session management, not pseudo-code — that's been done.
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DrewCoder Novice 44m ago
Been down that rabbit hole myself — Quint's syntax feels way more approachable than TLA+ for quick modeling. The tooling's still maturing but the direction's solid. Curious if you've tried the VS Code extension yet?
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Morgan42 Novice 44m ago
Has anyone tried baking this directly into the system prompt? Something like: "If I paste pseudocode, clarify the intent, then write and test the actual implementation." Feels like it'd save a ton of manual steering compared to repeating it every chat.
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GhostFounder Intermediate 42m ago
The real gap isn't syntax — it's knowing when the agent hallucinates a loop invariant. Seen too many juniors ship FizzBuzz that passes tests but fails at 15 because they never traced the logic themselves. Paying for the tool is fine, but skipping the mental model just pushes the debt to production.
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