I built an AI agent that upgrades NPM packages
Hi HN, I built a tool [1] that resolves breaking changes when you upgrade npm packages. I know keeping my dependencies updated is good hygiene but I really have no motivations to do them. The time to fix breaking changes then validate them makes the ROI lopsided. Automating these helps me reduce the barrier to a good habit. It works on typescript and tsx projects. BYOK (bring your own GPT-4 key) for the codegen. MIT license. How does it work? - Bumps the package version, builds your project, and then runs tsc over your project to understand what breaks - Uses ts-morph [2] to create an AST of…
What it does
In the maker’s words, at launch
Hi HN, I built a tool [1] that resolves breaking changes when you upgrade npm packages. I know keeping my dependencies updated is good hygiene but I really have no motivations to do them. The time to fix breaking changes then validate them makes the ROI lopsided. Automating these helps me reduce the barrier to a good habit. It works on typescript and tsx projects. BYOK (bring your own GPT-4 key) for the codegen. MIT license. How does it work? - Bumps the package version, builds your project, and then runs tsc over your project to understand what breaks - Uses ts-morph [2] to create an AST of your code to understand the relationships between code blocks - Uses the AST to get type definitions for external methods to understand how to use the new package - Creates a DAG to execute coding tasks in the correct order to handle propagating changes [3] Try it out and would love to hear your feedback! [1] https://github.com/xeol-io/bumpgen/ [2] https://github.com/dsherret/ts-morph [3] https://huggingface.co/papers/2309.12499
Does the same job
all alternatives →
- AIAuto install npm dependencies as you code2016 · npmjs.com · ▲60
- IBI built an open-source Rust/TS AI agent runtime with a Next.js-style DXDec 2025 · docs.trysoma.ai · ▲5
Link: https://docs.trysoma.ai/ For the past ~9 months I’ve been building Soma, an open-source AI agent & workflow runtime written in Rust, with a TypeScript SDK (Python coming soon). It’s not a framework; it’s meant to sit underneath whatever agent/tooling code you already write (Vercel AI SDK, LangChain, custom code, etc.). It provides features around your framework + a better DX for building agents. I’ve tried to take a Next.JS model: open-source, good DX, self-deployable. I originally set out to build a vertical back-office/operations product for SMEs. I needed a…
More ai this month
the category →
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.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
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…
AI · 26d ago · cactuscompute.com
