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Free platform with 500+ coding challenges, learning tracks, and live contests.
@sumitkdevcode · X
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Free platform with 500+ coding challenges, learning tracks, and live contests.
@sumitkdevcode · X

Learn to code and build projects through interactive games and challenges designed for the LLM era
@RahimNathwani · X
Not a direct answer but the guys at Exercism (non-profit that publishes really good and free programming language self-study courses) recently launched a separate site to teach junior programmers both vibe coding and software engineering fundamentals.

AI-powered platform for intuitive vibe-based coding development.
@isuryatk · X
- World's most reliable vibe coding platform

Competitive coding arena where developers solve challenges and battle 1v1 with the community.
@md_shadann · X

A coding network where learners build visible proof through courses and challenges with mentoring and company operations.
@Michaela200_5 · X

Describe self-correcting coding workflows in plain English and run them until tests pass.
forgeapp

Learn code skills with flashcards, quizzes, and AI tutoring built on memory science.
@mkappworks · X
I am building lets connect

Compare git, Jujutsu, and GitButler performance on coding tasks with Claude Code and Codex agents.
videlov · HN
I was interested in answering this question so I built a benchmark comparing git, jj and gitbutler in agentic context https://vcbench.dev/ Disclaimer - I am a co-founder of GitButler

Local-first cognitive runtime with live AST graphs, runs in your browser with no data sharing.
@fortsignal1 · X

Use AI code review that runs code in microVMs to catch more bugs faster.
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db

AI tool that asks clarifying questions and generates verified specifications for coding agents.
jayaprabhakar · HN
I've been building an open source formal methods system (fizzbee.io) for the past few years. Today I'm launching a new app built on the same technology. It performs requirements engineering using formal verification to uncover gaps and produce precise instructions for your coding agents to follow. When given a prompt, it - asks high signal follow-up questions - converts to formal spec and identifies complex requirements gaps - generates validation scenario At the end, it produces a specification document that can be shared with coding agents. In my trials on various projects, it produces working code in fewer iterations. Please give it a try and share your feedback. https://fizzbee.ai/ You can also look at a sample project. https://fizzbee.ai/projects/94bf2869-97a1-445c-8f5d-4445848b...

Generate code documentation automatically on GitHub pull requests.
Aldasams · HN
Show HN: DocFlow – AI documentation updates for GitHub pull requests