Goulash: An LLM-Powered Copilot for Your Terminal That Respects Your Flow
Goulash is a free, open-source overlay that brings LLM suggestions directly into your shell, keeping you in the zone without context-switching to a browser or agent.
[tooling]
97 stories · page 3
Goulash is a free, open-source overlay that brings LLM suggestions directly into your shell, keeping you in the zone without context-switching to a browser or agent.
Aurora is an Apache-2.0, self-hosted gateway that lets developers route requests to dozens of AI providers through a single OpenAI- or Anthropic-compatible API.
A new tool runs an npm package's install scripts in a sandbox and returns a signed verdict — a useful, if bounded, addition to the supply-chain security toolbox.
As Reddit mulls ending its $60M Google licensing deal, CEO Steve Huffman says AI Overviews haven't matched the traffic value of '10 blue links'—and other publishers are watching closely.
Google now lets users turn off visible watermarks in Gemini and Flow, while keeping invisible SynthID and C2PA markers for transparency.
A new open-source tool turns completed PRs and coding sessions into hidden-test tasks to compare AI coding agents on your codebase.
The Cline SDK saw two new patch releases in quick succession, signaling steady momentum for the AI coding assistant's developer platform.
Weightlift is a new open-source tool that simplifies managing and self-hosting AI models across local and cloud environments.
A new language server gives Claude-style skills and AGENTS.md files the same cross-reference-aware refactoring tools developers expect from code, killing a class of silent agent breakage.
A new tool documents user-facing errors from 296 repositories, complete with causes and fixes, for developers and AI coding agents.
The open-source AI coding assistant continues to refine its desktop app, CLI, and TypeScript SDK with a fresh round of incremental releases.
A 40-minute compromise of the popular AI proxy tool exposed credentials for over 2,500 organizations, highlighting the risks of AI-driven development pipelines.