Y Combinator · Video summary
Boris Cherny: How We Built Claude Code
Build for the future model, not today's. Iterative development and latent demand are key to creating impactful tools like Claude Code, which has revolutionized developer productivity.
Watch on YouTube ↗Key takeaways
- 🚀Build for the model of 6 months from now, not today's, to avoid being leapfrogged by faster-evolving AI capabilities.00:05
- 🚀Identify and build for the future capabilities of LLMs (6 months ahead) rather than optimizing solely for current model performance.00:05
- 🎯The most impactful products often emerge from accidental discoveries and iterative prototyping, starting with simple solutions like a CLI that users can then shape.02:46
- 🔧Embrace iterative prototyping and user feedback to guide development, accepting that initial simple solutions can evolve into powerful products.02:46
- 💡The core principle of latent demand means making what people are already trying to do easier, rather than forcing them to adopt new behaviors.08:00
- 💡Focus product development on latent demand: make existing user workflows easier, rather than trying to force new behaviors.08:00
Chapters
- 0:00💡 Building for the Future
- 0:46🚀 Introduction of Claude Code
- 1:26⏳ Early Days and Sleepless Nights
- 1:52🤔 Surprising Aspects of Current Development
- 2:52🔮 The Anthropic Bet on Coding
- 3:24🛠️ Accidental Creation of the CLI
- 4:16🤖 Discovering Tool Use Capabilities
- 4:55💡 Exploring Coding Capabilities
- 5:30🤯 The 'Fuel the AGI' Moment
- 6:16👥 Internal Dogfooding and Viral Adoption
- 6:50📈 Unexpected Internal Growth
- 7:19⚙️ Early Use Cases: Automation and Unit Tests
- 7:51📈 Latent Demand and ClaudeMD
- 8:15🏗️ Scaffolding vs. Waiting for Models
- 9:04📝 ClaudeMD: Minimalist Instructions
- 10:08🗑️ Managing ClaudeMD Length
- 10:36🧑💻 Developer Tool Preferences
- 11:48💬 Terminal Verbosity and User Feedback
- 13:32🐛 AI-Assisted Debugging
- 15:44💡 Advice for Technical Founders
- 17:32🧑🤝🧑 Hiring Based on Agent Interaction
- 18:17📊 Skill Spiderweb for Engineers
- 18:59🚀 Specialists vs. Generalists
- 19:42🧠 Out-of-the-Box Thinking
- 20:46🤝 Visionary Founders and Team Dynamics
- 21:57🌐 The Vision for Claude Teams
- 22:40 swarm Swarm Development: Plugins Feature
- 23:02🔁 Agent Task Management
- 23:25🧠 Sub-Agents and Recursive Prompting
- 24:09🔬 Parallel Debugging with Sub-Agents
- 25:08⏱️ The Declining Need for Plan Mode
- 25:38💡 Plan Mode: A Simple Prompt Addition
- 25:58🗣️ User-Driven Feature Development
- 27:00🔄 Evolving Plan Mode Usage
- 27:59🤖💬 Agents Talking to Each Other and Users
- 28:25🔍 Proactive Slack Communication
- 28:52📈 Principles for Builders: Latent Demand
- 30:17🔄 The Terminal's Evolving Role
- 31:11🛠️ Building for Agent Desires
- 32:41📜 The TypeScript Parallel
- 35:22✨ Designing for Terminal Delight
- 37:03🔄 Rapid Iteration and Prototyping
- 37:48🔮 Build for the Future Model
- 39:23🗑️ Deleting Unnecessary Scaffolding
- 40:00📈 Unprecedented Productivity Gains
- 41:35🤝 Joining Anthropic: Mission and Research
- 43:45💯 Predictions for Claude Code Usage
- 44:59👨💻 The Future of 'Software Engineer'
- 45:38⚠️ Upper Bound Risks: ASL4 and Misuse
- 46:21🚀 The Discovery Moment
- 47:31🛰️ Impact and Early Applications
- 48:11💻 Genesis of Co-Pilot
- 49:31🎉 Conclusion and Gratitude
The digest
High Level Overview
Boris Cherny, creator of Claude Code at Anthropic, shares an in-depth exploration of building AI-driven coding assistants optimized for future language models rather than today's capabilities. He emphasizes a product development approach rooted in iterative user feedback, latent demand, and continual code rewrites to keep pace with rapidly evolving AI models. This discussion offers valuable insights for developers, startup founders, and AI practitioners on designing tools that harness the accelerating improvements in language model intelligence to radically transform software engineering workflows.
Keep reading in The Digest
The full 6-minute article, 11 more sections, and every new episode from Y Combinator and the creators you follow.
- Building for Tomorrow’s Model, Not Today (00:00–06:00)
- Origin Story and Accidentally Embracing the Terminal UI (03:00–07:00)
- Iteration Driven by Latent Demand and User Feedback (07:00–13:00)
- Balancing Verbosity and Usability in AI Interaction (06:00–13:00)
- Multi-Agent Collaboration and Distributed AI Workflows (21:00–25:00)
- Hiring for Adaptability and Scientific Thinking (15:30–20:00)
- The Rapid Evolution and Short Lifespan of AI-Driven Codebases (36:00–40:00)
- Transforming Developer Productivity and Roles (41:00–45:00)
- Practical Frameworks and Mental Models Introduced
- Practical Implications & Takeaways
- Action-Oriented Summary: Concrete Recommendations
More from Y Combinator
How Jeetu Patel Runs Cisco Like the World’s Largest Startup
Jeetu Patel, Cisco's president and chief product officer, discusses how he's instilling a founder's mindset at the company, going all-in on AI, and the massive data center buildout currently underway.
What If We Stopped Using GPUs? | YC Paper Club
YC Paper Club explores the future of computing beyond GPUs, delving into alternative architectures like optical and neuromorphic computing, and discussing novel optimization methods inspired by the human brain.
Startups Are Moving From Bits to Atoms
Y Combinator partners discuss the latest trends in startups, highlighting the resurgence of hard tech, the accelerated growth of companies, and the increasing number of experienced and solo founders.
Self-Improving Harnesses, Local Personal AI And YC's Agent For Work | YC Paper Club
YC Paper Club explores the evolution of AI harnesses, from simple wrappers to complex, self-improving systems, and showcases how these advancements are transforming AI research and practical applications.
Max Junestrand: You Need The Willingness To Learn Faster Than Anyone Else
Max Junestrand, co-founder and CEO of Legora, shares the company's journey from a rejected Y Combinator application to a global legal tech leader, emphasizing the importance of perseverance, customer focus, and a strong company culture.
Going In Deep On Data | YC Paper Club
The YC Paper Club's "Data Edition" explores the critical role of data in AI development, highlighting how expert data is the bottleneck to AI progress and the shift from model-centric to data-centric approaches.