Anthropic dropped something genuinely useful this week. [Claude Code Remote Control](https://code.claude.com/docs/en/remote-control) lets you start a coding session in your terminal, close your laptop, and keep steering the AI agent from your phone, tablet, or any browser. It’s not a gimmick — it solves a real annoyance that anyone who’s used Claude Code for longer tasks… Continue reading

If you’ve been using Claude Code or Codex CLI for any serious work lately, you’ve probably hit the same wall I did: one agent at a time just doesn’t cut it anymore. You kick off a refactoring task, and while it’s churning away, you’re sitting there wishing you could start debugging something else in parallel.… Continue reading

Perplexity just did something bold. On February 25th, the company most people know as “that AI search engine” launched [Perplexity Computer](https://www.perplexity.ai/products/computer) — and it’s not a search tool anymore. It’s a full-blown autonomous worker that takes your high-level goals and actually gets stuff done, from research to coding to writing reports to managing entire projects.… Continue reading

I’ve been watching [agent-browser](https://github.com/vercel-labs/agent-browser) climb up GitHub Trending for the past few weeks, and after digging into it, I get why it’s sitting at 15.4k stars. It solves a problem that anyone building AI agents has run into: getting your agent to interact with a webpage without burning through your entire context window on a… Continue reading

So this is actually happening. Anthropic just told the Pentagon to pound sand, and I honestly did not have “AI safety company vs the U.S. military” on my 2026 bingo card. Here’s the deal: the Pentagon has a [$200 million contract](https://www.axios.com/2026/02/26/anthropic-rejects-pentagon-ai-terms) with Anthropic to use Claude on classified military networks. But Defense Secretary Pete Hegseth… Continue reading

I’ve been keeping an eye on the AI agent space for a while now, and most of what I’ve seen feels like glorified chatbots with extra steps. So when Notion announced [Custom Agents in their 3.3 release](https://www.notion.com/releases/2026-02-24), I was cautiously curious. After spending some time with it, though, I get why people are losing their… Continue reading

Google has been on a tear with image generation lately, and [Nano Banana 2](https://blog.google/innovation-and-ai/technology/ai/nano-banana-2/) might be the most impressive thing they’ve shipped in this space so far. Announced on February 26, the model — technically Gemini 3.1 Flash Image under the hood — merges the quality of Nano Banana Pro with the raw speed of… Continue reading

So ByteDance quietly rewrote their open-source agent framework from scratch, and the result — [DeerFlow 2.0](https://github.com/bytedance/deer-flow) — has been climbing GitHub Trending like crazy. We’re talking nearly 21,000 stars with roughly 600+ new ones every day. That kind of momentum doesn’t happen unless something actually resonates with developers. Here’s what makes 2.0 interesting. The original… Continue reading

So Google quietly built a tool that turns your messy napkin sketches into actual, working UI — and honestly, it’s kind of wild. [Stitch](https://stitch.withgoogle.com/) came out of Google Labs, powered by Gemini 2.5 Pro, and it just hit [#1 Product of the Day on Product Hunt](https://www.producthunt.com/products/stitch-by-google) with over 500 upvotes. After spending some time with… Continue reading

There’s a new model out from [Standard Intelligence](https://si.inc/posts/fdm1/) called FDM-1, and it’s doing something genuinely different in the computer-use agent space. Instead of training on labeled screenshots — the way pretty much everyone else does it — they threw 11 million hours of raw screen recording video at the problem and let the model figure… Continue reading