Learn to build software with AI Agents
RunlyAI is a learning platform where developers build real projects with AI agents. Learn to reason, write specs, direct agents, review code, and ship software you actually own.
14 builders already joined · 6 of 20 free-access spots left
Export workflows
Apply the same agent workflows across the coding tools developers use every day.
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Code on your own PC with the Runly CLI while the platform guides each project. Runly helps you build, review, and finish software you can run locally.
Reserve your spot
First 20 people on the waitlist get three months of free platform access.
Code with our agent
Our platform guides the work, but the coding happens on your PC with the Runly CLI. You direct the agent, inspect the files, run the app, and ship the project yourself.
Build with Runly
You install and use the Runly CLI on your own PC while the platform guides the brief, specs, tasks, code, and review cycles.
Ship a real project
Every lesson moves toward a finished product running locally: a working app, a clean repo, and the judgement to explain the choices behind it.
Earn your certificate
Complete the project path and receive a RunlyAI certificate that proves you can direct agents and deliver software end to end.
Built on open standards. Shaped by great minds.
RunlyAI is not built on opinion. The techniques, workflows, and principles taught on this platform are drawn from the open-source community and the most respected practitioners in modern AI engineering.
In early 2025, Karpathy coined the term "vibe coding" in a viral post on X, which rapidly gained traction across the software industry. Then he went further. He introduced "Agentic Engineering" as the evolution beyond vibe coding — a structured form of AI orchestration where developers shift their role to directing agents rather than writing code.
Garry Tan, President and CEO of Y Combinator, open-sourced gstack — his personal Claude Code setup — after being inspired by builders shipping at unprecedented speed with AI agents. His framing: "A single builder with the right tooling can move faster than a traditional team."
"My agent skills that I use every day to do real engineering — not vibe coding." — Matt Pocock, README first line. His open-source skills repo gained over 26,000 stars in its first week. Developers recognised a missing layer in their AI workflows.
Co-founder of Google Brain, former Chief Scientist at Baidu, founder of DeepLearning.AI and Coursera's AI programmes. Andrew Ng has trained over 7 million developers worldwide and has consistently argued that AI literacy is the most important skill a developer can build in the next decade.
AI Engineer has become a gathering point for developers building with agents, evals, workflows, and production AI systems. RunlyAI teaches the same practical builder posture: understand the tools, direct them clearly, and ship working software.
Vercel describes Agent Skills as packaged capabilities that give agents production-ready behaviors. Skills.sh extends that idea into an open directory, reinforcing the shift from one-off prompting to reusable workflows agents can load and execute.
Y Combinator has been one of the loudest signals that small teams can move faster with AI agents. RunlyAI turns that startup lesson into a learning path: reason clearly, delegate carefully, review the output, and keep shipping.
The tools and frameworks RunlyAI teaches are all open source and actively maintained by the global developer community: Anthropic, OpenAI, Vercel, GitHub, and the open-source community.
First 20 people on the waitlist get 3 months free
Learn to build real software with AI agents
Join the waitlist to code with Runly, complete a guided project, and earn your certificate when the platform opens.
Join the waitlist