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Weekly deep dives — Every week I'm breaking down the most important stories in AI, hardware, and emerging tech. No fluff, no clickbait. Just the stuff that actually matters.

Tutorials — Step-by-step guides on tools, frameworks, and workflows. Built for people who like to understand how things work, not just use them.

Community Chat — Head over to the chat to connect with other tech heads. Share what you're working on, ask questions, or just nerd out.

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I've tested probably 200+ AI tools over the past year. Most are hype. These 5 actually stuck and I use them daily:

1. Local LLMs for code review — Running models locally means no data leaves your machine. The quality gap between local and cloud models is basically gone for code tasks.

2. AI-powered terminal assistants — Natural language shell commands sound gimmicky until you're debugging a Docker networking issue at 2am and it just works.

3. Automated research pipelines — Feed in a topic, get back a structured brief with sources. I use this for every deep dive I write.

4. AI video summarizers — Conference talks, product launches, teardowns. 2 hour video → 5 minute structured summary with timestamps.

5. Smart RSS + AI filtering — Traditional RSS is dead. AI-filtered feeds that learn what you actually care about? That's the move.

I break down tools like these every week inside ByteWire — full tutorials, honest reviews, and workflows you can actually use. No affiliate links, no sponsorships, just what works.

What AI tools are you using daily? Drop them below 👇