As a software engineer, I’ve been using ChatGPT Work for the past week on actual projects.
Yesterday I gave it a messy requirements doc + some scattered notes from Slack, and it cleaned everything up, generated a proper PRD with acceptance criteria, created a basic task breakdown in Sheets, and even drafted the initial API spec. All while respecting our team’s conventions I’d shown it earlier.
It’s not magic, but it turns hours of boilerplate + context-switching into something I can review and ship faster. Really solid for getting momentum on features.
If you’re building stuff, worth checking out.
What I love about GPT-5.6 Sol is that it’s genuinely smart and remarkably persistent. It can keep working through long, complex tasks without constant prompting, babysitting, or even an explicit goal loop. It understands the direction, maintains context, and keeps pushing until the job is done.
The scary part of AI coding is not bad code.
It is low-value work becoming cheap enough to look productive.
More deploys are not the same as more product value.
The new bottleneck is judgment.
@trq212 The tool is placed at the very top of the prompt. If we close and restart the session, newly installed tools will be loaded in—could this invalidate the entire prompt cache?