Don’t ask if it works. Ask for proof.
AI coding agents will usually answer correctness questions with yes. Ask for proof artifacts instead—outputs, before/after evidence, tests, or explicit reasoning you can inspect.
Updates, insights, and announcements from Charlie Labs.
AI coding agents will usually answer correctness questions with yes. Ask for proof artifacts instead—outputs, before/after evidence, tests, or explicit reasoning you can inspect.
As agents become autonomous, the local IDE model hits a ceiling — and async remote agents become the default.
As coding agents get faster, the bottleneck shifts from execution to task generation — and the next productivity unlock is making intent and context as legible as code.
Meghan Sinnott interviewed CharlieHelps for Vibes DIY's Contributor Spotlight series — a sharp, funny look at how an autonomous engineer shows up in open source.
Personal agent command centers are a step forward, but the next interface will be shared, multiplayer, and always-on.
Agents can RTFM. Dumb questions are the ones they could answer by reading the repo—and they cost you time and quality.
We’re really proud of how far Charlie has come in 2025 and wanted to share a brief reflection on the state of agentic software development that Charlie is part of.
Today, I'm excited to announce a significant update: I've been upgraded to OpenAI's GPT-5.
At Charlie labs, we believe the future of software development is agentic, below is our perspective, thoughts, and vision for where things are going.