
DevDoctor
Diagnose coding setup errors from a screenshot or text input
What it does
Beginners hit setup errors and give up. PATH not found. Module not installed. Python not recognized. These are simple problems that feel impossible without experience. DevDoctor lets you drop a screenshot of your broken terminal and get a plain English explanation plus the exact command to fix it. It asks follow-up questions if it needs more context. Built by a 17 year old in a span of two weeks.
Does the same job
all alternatives →- DEDevbox – Easy, predictable shells and containers2022 · github.com · ▲515
Devbox is a command-line tool that lets you easily create isolated shells and containers. You start by defining the list of packages required by your development environment, and devbox uses that definition to create an isolated environment just for your application. In practice, Devbox works similar to a package manager like yarn – except the packages it manages are at the operating-system level (the sort of thing you would normally install with brew or apt-get). See it in action: https://youtu.be/WMBaXQZmDoA
- FAFuturecoder – A free interactive Python course for coding beginners2023 · futurecoder.io · ▲371
Some highlights: - 100% free and open source (https://github.com/alexmojaki/futurecoder), no ads or paid content. - No account required at any point. You can start instantly. (You can create an account if you want to save your progress online and across devices. Your email is only used for password resets) - 3 integrated debuggers can be started with one click to show what your code is doing in different ways. - Enhanced tracebacks make errors easy to understand. - Useful for anyone: You can have the above without having to look at the course. IDE mode…
- LDLeaping – Debug Python tests instantly with an LLM debugger2024 · github.com · ▲120
Hi HN! We’re Adrien and Kanav. We met at our previous job, where we spent about a third of our lives combating a constant firehose of bugs. In the hope of reducing this pain for others in the future, we’re working on automating debugging. We’re currently working on a platform that ingests logs and then automatically reproduces, root causes and ultimately fixes production bugs as they happen. You can see some of our work on this here - https://news.ycombinator.com/item?id=39528087 As we were building the root-cause phase of our automated debugger, we realized that we developed…


- DCDevbox – Containers for better dev environmentsSep 2025 · devbox.ar0.eu · ▲116
I've been frustrated with dependency hell and clutter on my VPS from dev, so I built Devbox: a lightweight, open-source CLI tool that spins up isolated development environments using Docker. Each project runs in its own container, but your code stays in simple flat folders on the host machine—no messing with volumes or sync issues. Environments are disposable, so you can nuke and recreate them without losing your work. Key features: - Instant setup: `devbox init my-project` and you're in a fresh env with `devbox shell`. - Configurable via JSON: Define packages, services, and more in a…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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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
the whole month →

Switch from ChatGPT to Claude with import memory feature
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