标签：#tools

Peek inside any folder without opening it Discussion | Link

LinkedIn inbox and feeds without the chaos. Discussion | Link

Native Android AI chat with chats stored locally Discussion | Link

This article was originally published on aicoderscope.com Most AI coding tools are generalists—they write code, answer questions, and somewhere in the feature list, review pull requests. CodeRabbit is the opposite: one thing, done obsessively. Every feature, every design decision, every pricing tier revolves around making PR review better. After reviewing the pricing, benchmarks, and comparing it to GitHub Copilot's native code review, here's the honest assessment. What CodeRabbit actually is (and what it isn't) CodeRabbit sits between your developer's git push and the merge button. You connect it to your repository host—GitHub, GitLab, Azure DevOps, or Bitbucket—and it automatically reviews every pull request. No button to click. It reads the diff, checks it against your full codebase for context, runs 40+ static analysis tools, then uses a multi-model AI stack to flag bugs, security issues, and style violations directly in PR comments. What it cannot do: generate application code, scaffold features, or replace a coding assistant. It is review-only. That constraint shapes everything about the product. At $40M ARR as of April 2026 (up 700% year-over-year from $5M ARR in April 2025), with 2 million repositories connected and more than 13 million pull requests reviewed, CodeRabbit has clearly found a market. It currently holds the #1 position among AI apps on GitHub Marketplace. How the review actually works Every CodeRabbit review runs in three stages. Stage 1: Context engine. Before analyzing the diff, CodeRabbit indexes your codebase using a retrieval system similar to what backs its code reviews across millions of repositories. It uses NVIDIA Nemotron for this context-gathering and summarization stage—a lightweight open model optimized for retrieval rather than generation. This is why CodeRabbit catches cross-file issues that pure diff-reviewers miss. Stage 2: Static analysis. A deterministic SAST layer runs linters that don't need AI inference: Biome, ESLint, Ruf

Voice agent for MacOS Discussion | Link

Hire AI employees that live in your Slack, Teams, Telegram Discussion | Link

Installs your API into a customer's codebase in one command Discussion | Link

Turn photos into 3D Gaussian Splats on your Mac Discussion | Link

Review AI edits like stacked PRs at generation time. Discussion | Link

Session reports for Claude Code & Codex to improve your code Discussion | Link

Cloudflare Tunnels, managed from your menu bar Discussion | Link

The problem Every time I started a session with Claude Code I had to re-explain my entire project. What framework I use. How my folders are structured. What naming conventions I follow. What decisions I have already made. Every. Single. Session. It was slowing me down and I knew there had to be a better way. What I built I built stackbrief. One command scans your repo and opens a local visual dashboard showing your full codebase intelligence. npx stackbrief scan It opens a dashboard at localhost:3000 showing: Interactive code map of your architecture Dependency version comparison against npm Convention detection (naming, async patterns, error handling) Context health score MCP server so Claude Code pulls context automatically How it works stackbrief reads every file in your project and builds a structured understanding of it. It detects your framework, architecture pattern, modules, dependencies, and coding conventions. It then writes a CLAUDE.md file to your project and starts an MCP server on port 3001. Claude Code picks this up automatically before every session. No more explaining your project from scratch. AI chat that actually knows your code The dashboard has an Ask your codebase section. Unlike generic AI chat, this assistant has read every file in your project. Ask it about your own architecture and get answers specific to your code. Works with Ollama (free, fully local), Claude, OpenAI, or any OpenAI-compatible provider including Groq, Mistral, and local runners like LM Studio and AnythingLLM. Zero config, fully local No cloud. No telemetry. No account required. Everything runs on your machine. npx stackbrief scan That is it. The dashboard opens automatically. Try it GitHub: https://github.com/ragavtech/stackbrief Built with Node.js and TypeScript. Open source, MIT license. Would love to hear what you think.

File manager for Linux homelab and NAS-style servers Discussion | Link

Teach your AI to build document templates Discussion | Link

Ship AI that stays on-brand Discussion | Link

Screen recording studio for Windows Discussion | Link

I read a lot of PDFs at night, especially on my phone. And honestly, PDFs are not great for that. Most of them still feel like digital paper: white background, fixed layout, and tiny text. Dark mode helps a bit, but many tools only change the page color. The bigger problem for me was mobile reading. When the text is too small, I have to pinch zoom, move the page left and right, zoom out again, then repeat the same thing on the next paragraph. After doing that too many times, I thought: Why can’t I just read the PDF text like an article? So I built a small free tool: PDF Dark Mode It has two reading modes. Page color mode This keeps the original PDF layout, but makes the page darker and easier to read at night. I use this for scanned PDFs, tables, image-heavy documents, or files where the original layout matters. Text reading mode For selectable PDFs, the tool can extract the text and show it in a cleaner reading view. You can adjust the font size, line height, font family, and theme. This is the part I personally wanted most, because it makes mobile reading much more comfortable. Instead of constantly pinch-zooming a fixed PDF page, the PDF starts to feel more like a normal article. Privacy The tool runs locally in the browser. Your PDF is not uploaded to a server, and refreshing the page clears the current session. Try it You can try it here: PDF Dark Mode I built it for my own night reading, but I’d love to hear feedback from anyone who reads PDFs on mobile. Also, if you ever need to convert a dark PDF back to a light version, I made a related tool for that too: PDF Light Mode

Make your product bug-free Discussion | Link

All your messaging apps in one window — with private AI Discussion | Link

Save it once, never lose it again Discussion | Link