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PugBase
Turn any idea or doc into a plan your AI agent builds
PugBase turns an idea, or a video/PDF/doc, into a structured plan your team and your AI agents share: overview, constraints, API contract, data model, and task checklists. Connect Claude Code or Cursor over MCP - your agent reads the plan, builds it in your repo, and ticks off each task as it goes. Your team watches progress live on a status board, then adds the next feature as its own tracked increment. Human-readable, agent-executable - the plan and the build stay in one place.
Hey Product Hunt! 👋 I'm Panudeth, the maker of PugBase.
I'd plan a feature, hand it to Claude Code, and half an hour later nobody - including me - could say what it actually built.
Then a teammate started running their own agent on the same repo, and it got worse.
PugBase moves the plan out of the agent's session into a place the whole team shares.
Describe an idea, or drop in a video or PDF, and you get a real plan: constraints, API contract, data model, task checklists.
Everyone then points their own agent at it over MCP - Claude Code, Cursor, whatever they use.
Each agent claims its own tasks and ticks them off live, so two people's agents stop stepping on each other.
The part I'm most proud of: a QA agent can reopen a task with a reason, and the agent that owns it reads that reason and fixes it.
The result doesn't vanish when a session ends. At 100% it writes the handoff docs.
Free to start.
How does your team handle it today when two people both have an AI agent in the same repo? 🙏
About PugBase on Product Hunt
“Turn any idea or doc into a plan your AI agent builds”
PugBase was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #34 on the daily leaderboard. PugBase turns an idea, or a video/PDF/doc, into a structured plan your team and your AI agents share: overview, constraints, API contract, data model, and task checklists. Connect Claude Code or Cursor over MCP - your agent reads the plan, builds it in your repo, and ticks off each task as it goes. Your team watches progress live on a status board, then adds the next feature as its own tracked increment. Human-readable, agent-executable - the plan and the build stay in one place.
On the analytics side, PugBase competes within Productivity, Developer Tools and Artificial Intelligence — topics that collectively have 1.6M followers on Product Hunt. The dashboard above tracks how PugBase performed against the three products that launched closest to it on the same day.
Who hunted PugBase?
PugBase was hunted by Panudeth Jaruwong. 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.
For a complete overview of PugBase including community comment highlights and product details, visit the product overview.
Panudeth Jaruwong
Hey Product Hunt! 👋 I'm Panudeth, the maker of PugBase.
I'd plan a feature, hand it to Claude Code, and half an hour later nobody - including me - could say what it actually built.
Then a teammate started running their own agent on the same repo, and it got worse.
PugBase moves the plan out of the agent's session into a place the whole team shares.
Describe an idea, or drop in a video or PDF, and you get a real plan: constraints, API contract, data model, task checklists.
Everyone then points their own agent at it over MCP - Claude Code, Cursor, whatever they use.
Each agent claims its own tasks and ticks them off live, so two people's agents stop stepping on each other.
The part I'm most proud of: a QA agent can reopen a task with a reason, and the agent that owns it reads that reason and fixes it.
The result doesn't vanish when a session ends. At 100% it writes the handoff docs.
Free to start.
How does your team handle it today when two people both have an AI agent in the same repo? 🙏