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Agent Deck is a native Mac app for managing everything around AI coding agents. Author specialist agents per project, curate the skills they use, and run sessions from GitHub issues, all in one place.
We built Agent Deck because once you start vibe coding seriously, the messy part is no longer just “talking to an AI”.
It becomes managing the whole setup around it: different agents for different projects, different prompts, different skills, different tools, different models, and trying not to turn your config into spaghetti.
Agent Deck is our attempt to make that easier.
It’s a native Mac app that sits on top of Pi and gives you a project-level layer for organizing AI coding agents and skills. You can create specialist agents per project, assign them their own prompts/tools/skills/models, import skills from GitHub or skills.sh, and keep project setups separate instead of everything living in one big global mess.
There are also sessions, GitHub issue context, worktrees, transcripts, and merge flows, but the main thing we care about is making AI coding agents easier to configure and reuse across projects.
It’s still early and rough around the edges, but we’re building it in the open and would love feedback from other people experimenting with AI coding workflows.
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About Agent Deck on Product Hunt
“A Mac cockpit for you AI coding agents”
Agent Deck was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #147 on the daily leaderboard. Agent Deck is a native Mac app for managing everything around AI coding agents. Author specialist agents per project, curate the skills they use, and run sessions from GitHub issues, all in one place.
Agent Deck was featured in Software Engineering (42.6k followers), GitHub (41.3k followers) and Vibe coding (519 followers) on Product Hunt. Together, these topics include over 30.6k products, making this a competitive space to launch in.
Who hunted Agent Deck?
Agent Deck was hunted by Ale Moretti. 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.
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