Palmier is where we cut our launch film, a one-minute black-and-white "to the crazy ones" piece for MakerMap. It's built for AI video, so turning generated shots, voice-over and music into one story took an afternoon instead of a week, and making a shorter cut for X and YouTube was quick. For a team without a video editor, that made a real film possible.
I’m Marcos, co-founder of Palmier (YC S24). I’ve been obsessed with AI coding tools since they came out, but always felt like they fall short of real automation. I still have to prompt them, guide them, and stay fully in the loop.
I kept thinking: why can’t we define “when X happens, do Y”… and let agents actually do the work? I believe AI should take work off our plates, not add more to it.
💡So we built Palmier: an autonomous AI assistant for software engineering. Triggered by GitHub events or in Slack, and integrated into your stack via MCPs, Palmier agents write code, fix bugs, review PRs, triage issues, and more - asynchronously, in flow, with full codebase context.
Common use cases: 📌 PR opened → update docs + PR review 🧪 CI fails → debug + open a fix PR 🐛 Issue created → triage + assign + start context gathering or draft 💬 Call agents from Slack → get merge-ready PRs without leaving chat
Get back hours of dev time a week and ship faster and more confidently.
🛠️ We’re still early and shipping fast. We’d love your feedback, ideas, or brutal honesty! (And if you’re leading a fast-moving team or just want to ship more - let’s chat!)
AI agents that can actually write production-ready code and handle real dev workflows? That’s a serious leap forward. Excited to see how it fits into modern stacks. Congrats on the launch 🚀
Really interesting approach, the autonomous event-driven concept is exactly what's missing from current tools. How does it handle complex codebases with lots of dependencies? Would love to see this in action. @marcos_rico_peng
Ngl, having an AI actually review PRs and fix bugs *with* codebase context is wild—finally someone gets how chaotic real dev life is. Super hyped to try this!
👋 Hey Product Hunt!
I’m Marcos, co-founder of Palmier (YC S24). I’ve been obsessed with AI coding tools since they came out, but always felt like they fall short of real automation. I still have to prompt them, guide them, and stay fully in the loop.
I kept thinking: why can’t we define “when X happens, do Y”… and let agents actually do the work? I believe AI should take work off our plates, not add more to it.
💡So we built Palmier: an autonomous AI assistant for software engineering.
Triggered by GitHub events or in Slack, and integrated into your stack via MCPs, Palmier agents write code, fix bugs, review PRs, triage issues, and more - asynchronously, in flow, with full codebase context.
Common use cases:
📌 PR opened → update docs + PR review
🧪 CI fails → debug + open a fix PR
🐛 Issue created → triage + assign + start context gathering or draft
💬 Call agents from Slack → get merge-ready PRs without leaving chat
Get back hours of dev time a week and ship faster and more confidently.
🛠️ We’re still early and shipping fast. We’d love your feedback, ideas, or brutal honesty!
(And if you’re leading a fast-moving team or just want to ship more - let’s chat!)
Thanks!
Marcos
AI agents that can actually write production-ready code and handle real dev workflows? That’s a serious leap forward. Excited to see how it fits into modern stacks. Congrats on the launch 🚀
@naderikladious Appreciate it Nader!
Really interesting approach, the autonomous event-driven concept is exactly what's missing from current tools. How does it handle complex codebases with lots of dependencies? Would love to see this in action. @marcos_rico_peng
I love the concept of GitHub-triggered agents handling everything from CI fails to doc updates
@aj_123 thank you!
Ngl, having an AI actually review PRs and fix bugs *with* codebase context is wild—finally someone gets how chaotic real dev life is. Super hyped to try this!
@joey_zhu_seopage_ai exactly! Thank you so much, let us know how your experience is!
Feels like having a reliable dev teammate. It writes code, fixes bugs, reviews PRs — great for speeding up delivery.