ExplainThisCode
AI code explanations tailored to your skill level
What it does
ExplainThisCode.ai helps developers understand code faster. Paste code, upload files, or connect GitHub repos — our AI adapts explanations to your experience level, whether you're a beginner learning to code or a senior dev onboarding to a new codebase. Features include complexity scoring, code annotations, team collaboration, and learning progress tracking with achievements. Free tier available, Pro at $19/mo.
Does the same job
all alternatives →- IBI built an AI that turns GitHub codebases into easy tutorials2025 · github.com · ▲923
https://the-pocket.github.io/Tutorial-Codebase-Knowledge/
Huzzah – a novel approach to coding with AI17d ago · danielvaughn.dev · ▲384Hello everyone. I've been working on this experimental editor called Huzzah. I've been working almost exclusively with coding agents since January of this year, and over the past few months I began to feel utterly exhausted by them. They're great, but I'm finding it more and more tedious to write full sentences for every change I want. Not only that, but it seems there's a complexity limit for codebases - beyond a certain point the agent begins confusing itself. I'd like to go back to writing code, but I don't want to go all the way back to fully manual coding. So I've come up with this…
- AEAI explanations for other people’s code2023 · whatdoesthiscodedo.com · ▲186
Hi HN, As a developer, I much prefer to write code than read other people’s code. But most projects I work on involve other developers so it’s hard to avoid. Often I find it really hard to quickly parse other people’s code so I thought maybe ChatGPT could help. ChatGPT does a really nice job of giving clear explanations when you paste in code and ask it to explain it. But the interface is a bit of a pain to use if you’re using it many times a day. It’s also hard to share explanations with co-workers. So I built whatdoesthiscodedo.com. Just paste your code and get your ChatGPT explanation and…
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, March 2026
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Switch from ChatGPT to Claude with import memory feature
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