Meridian is currently the #2 Product of the Day on Product Hunt, and your support could help us reach the top.
We built Meridian as an open-source, local-first AI work journal that runs entirely on your device. It turns your daily activity into a clear timeline, matches work with Jira and GitHub tickets, and drafts worklogs and updates for your approval.
Meridian is MIT-licensed, private by design, requires no account, and is free for individual developers.
As one of Meridian s makers, I d love to hear from other makers: what would make you trust an AI-generated worklog? Please support our launch and share your honest feedback.
I spent yesterday debugging a payment flow that an AI assistant confidently generated for me. The happy path? Flawless. The part where a user's card declines mid-transaction and we need to retry with exponential backoff while logging to three different services? The assistant completely missed it and didn't even flag that it was skipping anything.
It got me thinking about where these tools actually excel versus where they consistently fall short. They're genuinely exceptional at scaffolding, at spinning up the obvious structure of a feature. But the moment you need to handle what shouldn't happen race conditions, partial failures, the weird state your system ends up in at 2 AM they seem to lose the plot entirely.
If you're building multi-agent coding workflow or software factories this one is for you! We've been using it internally Kerno for the past 6 months and it has been a GAME CHANGER! We're excited to launch HAR (https://www.producthunt.com/prod...)! It's an open-source, agent-agnostic framework for building multi-agent coding workflows. Run a fleet of coding agents in parallel on any repository, with deterministic validation gates, verifiable proof, and full observability across every agent, all extensible and customizable to your own workflow and tooling. Give it a try and let me know what you think :)
