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Stop re-explaining yourself. Goodboy is an ADE that keeps the goal, plan and decisions of every task in one place, so any agent you run already knows what’s done and what’s left. Each task is split into steps, and each step gets the right model and effort. Plug in GitHub, Linear, Jira, Sentry and Slack, review plans and diffs, follow the full log and keep an eye on spend. Works with Claude Code, Codex, Cursor and more, on your subscriptions or API keys. Free and built in public.
Working with AI in early 2026 was a real pain in the neck. I was bouncing between Claude, Codex and Cursor all day, and every time I switched tool or ran out of tokens I had to explain the same goal, the same plan and the same decisions all over again. One day I woke up tired of repeating myself a thousand times, so I started building Goodboy.
At first it was just a shared context between agents: one local place that holds what you’re working on and hands it to whichever agent runs next. Then every time something annoyed me in my daily workflow, I turned it into a feature. That’s how it grew into a real ADE. Agents run in parallel on isolated worktrees, workflows send each step to the right model, and it’s integrated with the tools I use every day, like GitHub and Linear, so issues and PRs sit right next to the agents working on them.
A few things I care about: it drives the official CLIs on the subscriptions you already pay for, or on your own API keys if you prefer. Everything stays on your machine. And it’s built in public.
I’m building it solo next to my day job, so feedback really matters. What would help most:
where the onboarding gets confusing
which integration you’d want next
what breaks, because something will 🐶
And if you like the project, a ⭐️ on GitHub would mean a lot
Thanks for checking it out, I’m curious to know what you think :)
Oh, now you can try a live demo from your browser XD
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About Goodboy on Product Hunt
“Agenti Development Environment”
Goodboy was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #125 on the daily leaderboard. Stop re-explaining yourself. Goodboy is an ADE that keeps the goal, plan and decisions of every task in one place, so any agent you run already knows what’s done and what’s left. Each task is split into steps, and each step gets the right model and effort. Plug in GitHub, Linear, Jira, Sentry and Slack, review plans and diffs, follow the full log and keep an eye on spend. Works with Claude Code, Codex, Cursor and more, on your subscriptions or API keys. Free and built in public.
Goodboy was featured in User Experience (369.7k followers), Developer Tools (522.9k followers) and GitHub (41.5k followers) on Product Hunt. Together, these topics include over 162.2k products, making this a competitive space to launch in.
Who hunted Goodboy?
Goodboy was hunted by Amin Khayam. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Goodboy stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Amin Khayam
Hey PH 👋
well, what can I say.
Working with AI in early 2026 was a real pain in the neck. I was bouncing between Claude, Codex and Cursor all day, and every time I switched tool or ran out of tokens I had to explain the same goal, the same plan and the same decisions all over again. One day I woke up tired of repeating myself a thousand times, so I started building Goodboy.
At first it was just a shared context between agents: one local place that holds what you’re working on and hands it to whichever agent runs next. Then every time something annoyed me in my daily workflow, I turned it into a feature. That’s how it grew into a real ADE. Agents run in parallel on isolated worktrees, workflows send each step to the right model, and it’s integrated with the tools I use every day, like GitHub and Linear, so issues and PRs sit right next to the agents working on them.
A few things I care about: it drives the official CLIs on the subscriptions you already pay for, or on your own API keys if you prefer. Everything stays on your machine. And it’s built in public.
I’m building it solo next to my day job, so feedback really matters. What would help most:
where the onboarding gets confusing
which integration you’d want next
what breaks, because something will 🐶
And if you like the project, a ⭐️ on GitHub would mean a lot
Thanks for checking it out, I’m curious to know what you think :)
Oh, now you can try a live demo from your browser XD