
Docai
Document your entire Jira project in one click
What it does
Instantly generate comprehensive project documentation from Jira releases with AI. Simplify your workflows and create professional documentation in just one click.
Does a similar job
all alternatives →- IMI made a documentation tool for Jira projects2025 · docai.so · ▲5
For the past 6 months, I’ve been building Docai, a tool to automate project documentation from Jira. As a dev, I’ve worked on too many projects where documentation was missing, outdated, or written too late. Most of the time, we had to dig through Jira tickets to understand what was built and why. It was painful. So I decided to fix that. Docai reads your Jira releases and generates clean, structured documentation automatically. Here’s what it does: - Generates documentation from Jira tickets (based on versions/releases) - Builds an incremental feature tree to follow the evolution of…
Automated Sprint Reports for Jira2024 · ▲179Instant automated Jira reports for software delivery teams




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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…
AI · 28d ago · cactuscompute.com


Launched alongside, April 2025
the whole month →- IB
Hi everyone, I built PyXL — a hardware processor that executes a custom assembly generated from Python programs, without using a traditional interpreter or virtual machine. It compiles Python -> CPython Bytecode -> Instruction set designed for direct hardware execution. I’m sharing an early benchmark: a GPIO test where PyXL achieves a 480ns round-trip toggle — compared to 14-25 micro seconds on a MicroPython Pyboard - even though PyXL runs at a lower clock (100MHz vs. 168MHz). The design is stack-based, fully pipelined, and preserves Python's dynamic typing without static type restrictions.…
Dev tools · 2025 · runpyxl.com
- UC
Life & fun · 2025 · filiph.github.io
- IB
https://the-pocket.github.io/Tutorial-Codebase-Knowledge/
AI · 2025 · github.com


