just a techyย โขย 4m
Iโm building an AI-powered dev workspace โ not for writing code from scratch, but as a post-deployment tool to help developers after their code is live on GitHub. ๐ After authenticating with GitHub and selecting a repo, the platform gives you real-time AI suggestions for improvements and issue detection โ no manual setup needed. It works in two modes: ๐ฌ Chat Mode โ Talk to your codebase, ask questions, explore logic ๐ ๏ธ Code Mode โ AI-powered editing with in-place suggestions and file updates What makes it different from other tools โญ Architecture Mapping Engine โ Understands your code holistically, not just line-by-line ๐ Safe Edit Layer โ โ๏ธ Auto PRs, contextual explanations, and built-in validation for every change The goal is not just to fix bugs but to help you understand whatโs changing and why. Would love your thoughts: Would you use something like this? What would make it valuable vs. noisy? Any tools you've tried that frustrated you?
21. Curious, optimis...ย โขย 4m
big breaking: microsoft just turned VS code into an AI-powered open source beast with github copilot built-in. basically, your code editor now judges you silentlyโฆ and still writes better code. soโฆ do we still call ourselves developers or just pro
See MoreMaking AI tools easy...ย โขย 9h
Jules Tools by Google: Autonomous AI Coding CLI for Developers Tired of context switching between your editor, Slack, and CI? Meet Jules Tools - Googleโs new CLI + API that lets you delegate scoped coding tasks (refactors, tests, bug fixes) to an aut
See MoreStartups | AI | info...ย โขย 4m
The evolution of AI coding: 1. AI auto-completes your next line 2. AI codes while you give feedback sync 3. AI submits PRs that you review async 4. AI agents work in parallel and you're the engineering manager We're somewhere between 2 and 3 right
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