Where developers grow together

Codexa – Manage Multiple Codex Accounts in VS Code

Codexa is a local VS Code extension built to help developers manage multiple Codex accounts from one machine. It allows users to save the active Codex login as a named local profile, switch between saved accounts, create authentication backups, refresh expired tokens, and monitor available usage limits directly inside VS Code. Codexa shows 5-hour, weekly, and code-review usage windows in the Activity Bar and status bar, so users can check their remaining usage without leaving the editor. The extension is useful for developers who work with personal, work, or testing Codex accounts and want a simple local way to switch accounts without manually editing authentication files. Key features : include account profiles, fast switching, usage dashboard, token refresh, status bar usage display, local backups, profile removal, and automatic usage refresh. Codexa stores all account data locally on the user’s machine under ~/.codex and ~/.codex-usage-manager. Authentication files contain sensitive credentials and should not be committed, uploaded, or shared. This is an independent community project and is not an official OpenAI product.

RepoContext — Read & Download Any GitHub Repo in Seconds

Every time I opened an unfamiliar GitHub repo, I wasted 20+ minutes — README outdated, 40+ files staring at me, no idea where the actual logic lives. And feeding that mess into Claude Code or Cursor meant dumping random files and hoping the context window survived. So I built RepoContext. Paste any GitHub URL (public or private via PAT) and get a structured onboarding brief in seconds: - Ranked top files: what to read first, surfaced by heuristics (not AI)- Repo health signals: open issues, PR pressure, activity status, dependency risks- Full file tree: browse up to 28k+ entries with inline previews (first 16KB, no download needed)- One-click Markdown export: structured context ready to paste into Claude Code, Cursor, ChatGPT, Gemini CLI, or OpenClaw- Bulk ZIP download: select only the files you need, skip cloning the whole repo- Private repo support: add your GitHub PAT and it just works No AI processing. No signups. No hallucinations. Fully deterministic output — what you see is what is actually in the repo. Built with Next.js 14, TypeScript, Tailwind v4, deployed on Vercel. Fully open source. Live tool: https://repocontext.ajaymathuriya.comGitHub: https://github.com/ajaycodesitbetter/RepoContext

AI PC Configurator

Digibuggy Configuration Lab (AI PC Builder) is an AI-powered web app that designs optimized custom PC builds based on a user’s budget, workload, and experience level. It supports three build modes: Beginner, Pro, and Advanced, so first-time builders get hand-held, plain‑English guidance while power users retain full manual control over every component. The system generates expert‑vetted part lists, smart per‑component recommendations, live compatibility checks, and instant FPS estimates so users can see performance before they spend a rupee. On top of the core builder, the platform includes a Price Updater and Parts Manager to keep component data fresh and consistent with real‑world pricing, enabling accurate, up‑to‑date build suggestions without manual spreadsheet work. This makes Digibuggy Configuration Lab a practical, production‑oriented AI tool for turning vague “I want a gaming PC” requirements into concrete, compatible, and cost‑efficient part lists in minutes