Review

Three hours into a refactor session, Claude Code had rewritten half my project. It felt productive. And it also felt like watching money leave my account through a window I couldn’t see through. But the terminal kept churning out files, running tests, calling tools — ask me what that session actually cost, or which of those changes were even verified, and I’d have shrugged. That’s the exact gap agentacct (537 stars in its first week, MIT, Python) is built to close: a local-first dashboard that joins your agent’s token bill to its work log, on one screen, on your machine. ...

Ever watched your AI agent turn “add a date picker” into 404 lines of code, a flatpickr npm dependency, and a wrapper component with its own CSS? Yeah. Me too. So when I saw a GitHub repo called Ponytail hit 83,449 stars in its first month—with a tagline that reads “He says nothing. He writes one line. It works."—I had to install it immediately. TL;DR: Ponytail is a plugin for Claude Code, Codex, and 20+ agent CLIs that installs a 7-rung “ladder of restraint” before every code generation step. But the result? 54% less code, 22% fewer tokens, 20% lower cost, 27% faster sessions—and 100% safety on adversarial inputs. Yet a bare “write one-liners” prompt only manages 95% safety. ...

Ever wanted your AI agent to edit a video for you? So I just made it happen. So I dropped six raw clips into a folder, told Claude Code to “cut these to the beat markers, add a teal-orange grade, and put word-pop captions” — and watched the timeline rebuild itself live in my browser. No Premiere. No cloud service. Just a node server.js and an MCP connection. So what’s the project? It’s called FableCut — a zero-dependency browser video editor that exposes its entire timeline as JSON. Also, any MCP-capable agent can manipulate it. It’s MIT-licensed, sits at 268 stars, and was only released four days ago. But honestly? The concept is bigger than the star count. ...

Ever spent 20 minutes crafting the perfect prompt for an AI coding agent, gotten great results, then realized you’d have to reconstruct the whole thing from scratch next time? Yeah, me too. So that’s one of the hardest things about agent-assisted coding — every task starts from a blank conversation. But you solve a problem once, the agent does brilliant work, and then that workflow vanishes into session history. But Loopy changes that. Now at 2,603 GitHub stars in under a month, I’m clearly not the only one feeling this pain. ...