🤖 AI Summary
Overview
This episode dives into how Mike Krieger, co-founder of Instagram and now head of Anthropic Labs, is leveraging the cutting-edge AI model Fable 5. The discussion explores how Fable 5 reshapes workflows, redefines software engineering, and unlocks new creative and technical possibilities. Krieger shares insights into adapting to this transformative technology, its implications for productivity, and the future of AI-native development.
Notable Quotes
- I feel like a total newbie again because the way I am prompting or decomposing tasks is really out of date now with this model.
– Mike Krieger, on adapting to Fable 5's capabilities.
- It’s the first time in my life where the thing in my head and the thing that exists in the world are right next to each other.
– Mike Krieger, on how Fable empowers non-technical users.
- Is software engineering over? No, but it’s dramatically changed. The craft of software production is alive and well, but the tools and processes are unrecognizable from a decade ago.
– Mike Krieger, on the evolving role of engineers.
🛠️ Adapting to Fable 5's Capabilities
- Krieger describes feeling like a beginner again when first using Fable 5, as it required rethinking workflows and task decomposition.
- The model’s ability to handle complex, multi-step tasks autonomously has shifted how users approach productivity, making it feel more like a teammate than a tool.
- Non-technical users, such as knowledge workers, are finding new ways to integrate Fable into their workflows, though it often requires learning new skills to fully utilize its potential.
💡 Rethinking Software Engineering
- Krieger argues that while software engineering isn’t over,
it has fundamentally changed. Tasks like debugging, architecture planning, and iteration are now faster and more collaborative with AI.
- The traditional divide between product management and engineering is blurring, as AI models take on more of the execution work.
- Engineers at Anthropic still play a critical role in overseeing AI-driven development, ensuring quality, and maintaining accountability for production systems.
📈 Lowering the Barrier to Innovation
- Fable 5 drastically reduces the time and cost of building software. Krieger compares building Instagram’s first version in five days of all-nighters to creating a personal media tracker over a weekend with Fable.
- The model enables non-technical users to build tools and applications that were previously out of reach, democratizing access to software development.
- Krieger highlights examples of individuals using Fable to create complex, domain-specific tools, such as environmental simulations or internal organizational systems.
🔄 Dynamic Workflows and Verification
- Dynamic workflows allow users to break down and orchestrate complex tasks over longer time horizons, with Fable managing subtasks autonomously.
- Verification loops are critical for ensuring quality. Techniques include generating screenshots, videos, and mock backends to validate outputs.
- Fable’s ability to follow up on tasks, such as reminding users to enable feature flags or responding to code reviews, demonstrates its advanced judgment and persistence.
🎮 Creative and Practical Applications
- Fable 5 is inspiring a wave of creativity, from building games to visualizing complex data. Krieger encourages users to leverage the model for both personal and professional projects.
- The model excels at translating ideas into fully realized applications, enabling users to iterate and refine over time.
- Krieger emphasizes the potential for Fable to unlock new frontiers in fields like education, environmental science, and organizational productivity.
AI-generated content may not be accurate or complete and should not be relied upon as a sole source of truth.
📋 Episode Description
Mike Krieger built one of the most consequential consumer apps of the last two decades as the cofounder of Instagram. He is now at the frontier of AI-native product development as head of Anthropic Labs, the team responsible for figuring out what the most capable AI models can do in the hands of real builders.When Krieger first got access to Fable 5 months before its public release, it was exciting and disorienting. “I feel like a total newbie again,” he remembers telling his team. The way he’d been thinking about productivity, strategy, and time management was out of date. The model had outpaced his workflows.Dan Shipper talked with Krieger for AI & I about what it looks like to build with a model as capable as Fable 5, including the new rhythms, challenges, and possibilities it reveals.If you found this episode interesting, please like, subscribe, comment, and share!To hear more from Dan Shipper:Subscribe to Every: https://every.to/subscribeFollow him on X: https://twitter.com/danshipperGet started with Braintrust at https://www.braintrust.dev/ Timestamps:0:03 Introduction1:48 How Fable completely reshaped Mike's workflow4:48 When to use Sonnet versus Fable10:06 What the media tracker Mike built over a weekend reveals about agent-native architecture15:00 The cost to build has collapsed19:03 Is software engineering over?21:48 How Anthropic's engineering teams work today38:39 The mechanics of verification44:39 What people should use the model to build47:24 Dynamic workflowsLinks to resources mentioned in the episode:Mike Krieger on X: https://x.com/mikeykAnthropic Labs: https://www.anthropic.comClaude Code: https://claude.ai/codeEvery: https://every.to
Timestamps:0:03 Introduction1:48 How Fable completely reshaped Mike's workflow4:48 When to use Sonnet vs. Fable10:06 What the media tracker Mike built over a weekend reveals about agent-native architecture15:00 The cost to build has collapsed19:03 Is software engineering over?21:48 How Anthropic's engineering teams work today38:39 The mechanics of verification44:39 What people should use the model to build47:24 Dynamic workflowsLinks to resources mentioned in the episode:Mike Krieger on X: https://x.com/mikeykAnthropic Labs: https://www.anthropic.comClaude Code: https://claude.ai/codeEvery: https://every.to