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I've always been the gamer in the family. When my son was born nearly 11 years ago, gaming was one of the things I looked forward to sharing with him. Pulling up a chair next to me, he would watch as I played Sea of Thieves with friends, often wearing the too-big-for-his-head headset to talk […]

I built a voice assistant that controls 45 AI tools. I say "Hey Jarvis" and it executes. What It Does Command Action "generate content" Creates YouTube scripts for 9 channels "research quantum computing" Deep research via Tavily + AI "write email about meeting" Drafts email, copies to clipboard "start focus" Starts Pomodoro + blocks apps "code review" Reviews git diff with AI "summarize" Summarizes clipboard content "find file tax PDF" Natural language file search Architecture Mic → Whisper (offline) → Intent Classify → Router → Ollama → say (TTS) Key Features Offline speech (Whisper local) Wake word: "Hey Jarvis" Global hotkey: Ctrl+Space Command chaining: "research AI then write blog" Memory across conversations Hindi + English Setup brew install portaudio pip install SpeechRecognition pyaudio openai-whisper python voice_commander_pro.py 🔗 github.com/amrendramishra/ai-tools 🌐 amrendranmishra.dev

hi, i am Aniruddha Adak, a full-stack developer from kolkata who spends way too much time building things with ai tools, shipping apps, and reading way too many github readmes at 2 am. i built 27 apps in 45 days using no-code and ai tools last year. that experience taught me one thing very clearly: the landscape of ai tooling for developers is moving insanely fast, and it is genuinely hard to keep up. so i sat down and did something about it. this is my deep research post on every ai tool, agent, builder, reviewer, and framework that developers, software engineers, and ai engineers should actually know about right now. i have organized it into categories so you can find what you need quickly. no fluff. just the tools, their sites, and what they do. why i wrote this i keep seeing developers waste time because they do not know the right tool exists. someone is manually reviewing pull requests for a week straight, not knowing coderabbit exists. someone else is hand-writing supabase schemas when emergent can do it in seconds. another person is spending days on a landing page when v0 can scaffold it in one prompt. this post is my attempt to fix that. i went through github repositories, dev communities, product hunt launches, and research aggregators to compile this. it is long. that is intentional. bookmark it. section 1: ai-native ides these are not just editors with a chatbot plugged in. these are environments built from the ground up around how language models think and work. tool site what it does cursor https://www.cursor.com forked vscode, codebase-aware context windows, multi-file edits with copilot-style background indexing windsurf https://windsurf.com cascade ai agent that writes files, runs terminal checks, and fixes things in real-time zed https://zed.dev built in rust with gpui, super low latency, native multiplayer coding support replit https://replit.com cloud ide with a full autonomous agent that runs inside serverless virtual workspaces google antigravit