Built JSONLogic in Rust in 5hrs with GitHub Copilot as pair programmer

Hacker News

Hey HN! Wanted to share a fun experiment - I implemented the full JSONLogic spec in Rust with Github Copilot (Claude) as my coding buddy. The entire implementation took less than 5 hours from start to finish. Here's how I approached it: - Started with a clear architectural vision - broke down the operators into categories (logical, comparison, numeric, etc.) and explained this structure to Copilot. This helped set a consistent pattern for the implementation. - Used test-driven development by importing JSONLogic's official test suite. Set up the test infrastructure and let all tests fail initially. This gave us clear targets to work towards. - Implemented one operator (like 'var') completely, establishing the code pattern and error handling approach. Copilot quickly picked up on the style and helped extend it. - For each operator category, explained the requirements and let Copilot generate the implementation following our established pattern. The test suite helped catch edge cases we might have missed. - Final polish included running Clippy for Rust best practices, adding proper error messages, and some performance tuning like reducing allocations. What surprised me was how smoothly it went when I gave Copilot clear context and patterns to follow. It's like pair programming with someone who types really fast but needs good direction The library is now production-ready and handles all JSONLogic operations with proper error handling and type safety. Would love to hear others' experiences pairing with AI tools for Rust projects!

Visit product View on Hacker NewsNov 19, 2024

Share card

Actual performance

1points

1comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: claude, context, coding · Missing: mac, agents, macos

83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting

75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

GitHub Copilot in JupyterLab47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GitHub Copilot in JupyterLab

Hacker News2

GitHub Copilot for SQL58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GitHub Copilot for SQL

Hacker News7

Vox79%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Voice in, voice out — with GitHub Copilot

Product Hunt+154Developer Tools

Level Up Coding – Flying with GitHub Copilot59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Level Up Coding – Flying with GitHub Copilot

Hacker News1

GitHub Copilot Is Helping Me Learn RxJS52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GitHub Copilot Is Helping Me Learn RxJS

Hacker News1

Captain Stack – a parody version GitHub Copilot52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Captain Stack – a parody version GitHub Copilot

Hacker News49

Python Pandas and Excel and GitHub Copilot64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Python Pandas and Excel and GitHub Copilot

Hacker News1

The No-AI 3-Clause License (explicitly prohibits, e.g., GitHub Copilot)44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The No-AI 3-Clause License (explicitly prohibits, e.g., GitHub Copilot)

Hacker News2

Free GitHub Copilot CLI with your own model or API51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Free GitHub Copilot CLI with your own model or API

Hacker News5

GitHub Copilot Can Help with Shell Scripting55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GitHub Copilot Can Help with Shell Scripting

Hacker News5

Browse all products Analyze your launch