Patchwork

What it does

AI coding agents work for common tasks, though struggle with nuance (OOD). Skilled human engineers are still (and likely always will be) needed to guide and ship high-quality code. Patchwork's mission is to be the most reliable coding tool which is not only a modelling / infra challenge but also a fundamental UX one. Right now, our focus is to get tab completion right. Soon, we're moving onto Code Action Models and search. Reach out via DM or sign up via the form (https://tally.so/r/pbraGZ).

Extension for Visual Studio Code - Copilot that gets you. Fast.

Patchwork is a fast, long-context tab-completion copilot for code. It includes an unlimited free plan and an optional paidfrom marketplace.visualstudio.com

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  Patchwork – Open-source framework to automate development gruntwork2024 · github.com · ▲116

  Hi HN! We’re Asankhaya and Rohan and we are building Patchwork. Patchwork tackles development gruntwork—like reviews, docs, linting, and security fixes—through customizable, code-first 'patchflows' using LLMs and modular code management steps, all in Python. Here's a quick overview video: https://youtu.be/MLyn6B3bFMU From our time building DevSecOps tools, we experienced first-hand the frustrations our users faced as they built complex delivery pipelines. Almost a third of developer time is spent on code management tasks[1], yet backlogs remain. Patchwork lets you combine…

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  When we asked developers from large engineering teams, almost everyone is using Claude Code, Cursor, or Copilot. But adoption is still inconsistent. Some of us would have 15 agents running in Claude Code at the same time; some would still refuse to use any of them and write code manually. There's a fragmented AI development problem: - Five developers building similar features, and all of them start from scratch - No way to share "here's how we prompt AI to follow our architecture" - No trail of how the AI changes were generated - People leave the company, so does the their knowledge Aviator…

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  20+ Claude Code agents coordinating on real work (open source)Feb 2026 · github.com · ▲53

  Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…

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  Patchwork – Open-Source AI Workflows for Dev Chores2024 · github.com · ▲5

  Hi HN, We are excited to share patchwork - an open-source CLI for dev chore automation that you can use with your LLM of choice. Dev Teams can orchestrate custom workflows (called ‘patchflows’) using a combination of reusable steps and prompt templates to fix vulnerabilities, upgrade breaking dependencies, generate documentation, and more. We built scanning tools in the past, and saw how overwhelmed developers get with their DevSecOps pipelines. LLMs have the potential to help - but there is a need for an 'outer-loop' solution that can be customized to accommodate the processes, priorities,…

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