mayel

mayel / conjure

Public

You describe a function. An LLM hallucinates it. The BEAM compiles and runs it live in your runtime with no restart, no compile step, no test suite, no PR reviews, no deploy. The source also lands in your codebase for further use. Straight from user input into production. Probably fine?

12
0
69% credibility
Found Apr 07, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Elixir
AI Summary

Conjure is an Elixir tool that lets users describe computations in everyday language, uses a local AI to generate code in Elixir, Zig, or C, compiles and runs it live in a running app, and saves it for instant reuse.

How It Works

1
📰 Discover Conjure

You hear about Conjure, a fun tool that turns your plain English descriptions into working calculations that run right away in your Elixir app.

2
🧠 Set up AI helper

Download and start a free local AI thinker on your computer so it can create code from your ideas.

3
📦 Add to your project

Slip Conjure into your existing Elixir project and launch your interactive playground.

4
💭 Describe what you need

Type a simple request like 'roman numeral for a number' and give it details like 2026.

5
âš¡ Choose speed mode if wanted

Pick a faster computing style for heavy math, or let it use the usual friendly one.

6
✨ Run and see magic

Hit go, and instantly get your answer like 'MMXXVI' without writing any code yourself.

🎉 Reuse forever

Next time you ask the same thing, it remembers and computes even faster, like having a personal code wizard.

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AI-Generated Review

What is conjure?

Conjure lets you describe a function in plain English—like "can you describe roman numeral for n" or "distance in km between two gps coordinates"—and an LLM instantly generates, compiles, and runs Elixir, Zig, or C code live in your BEAM runtime. No restarts, compiles, tests, or deploys needed; the source saves to your codebase for instant reuse on repeat calls. It's Elixir-built, tapping Ollama for code gen and BEAM hot-loading for zero-downtime execution.

Why is it gaining traction?

Unlike sandboxed AI tools with UI gates and human reviews, Conjure skips them all for direct LLM-to-production flow, with retries on compile errors and benchmarks proving Zig/C beat Elixir on tight loops like summing billions. Cached modules load from disk on boot, blending one-shot vibes with persistent speed. Developers dig the raw thrill of "conjure animals"-style instant compute without friction.

Who should use this?

Elixir backend devs prototyping numeric algos or data transforms, like Levenshtein distances or dot products, who run Ollama locally. Numeric hackers benchmarking langs without full setups. Avoid if you hit GitHub limits like "you do not have permission to push to the head branch" or need audited code.

Verdict

Wild proof-of-concept for live AI codegen—12 stars and 0.7% credibility scream early experiment, but solid README and benchmarks make it worth a spin for Elixir tinkerers. Pair with forks if "you must be able to fork a repository to propose changes"; don't conjure in prod.

(187 words)

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