Ai agents

Lessons from 25 Trillion Tokens — Scaling AI-Assisted Development at Kilo

Lessons from 25 Trillion Tokens — Scaling AI-Assisted Development at Kilo

Scott Breitenother, CEO of Kilo, discusses the evolution of software development, where engineers are shifting from writing code to orchestrating AI agents. He shares lessons from processing 25 trillion tokens, emphasizing the critical role of trust, the importance of end-to-end ownership, and how this new paradigm leads to a 10x increase in shipping velocity.

Dreamer: the Agent OS for Everyone — David Singleton

Dreamer: the Agent OS for Everyone — David Singleton

David Singleton, former Stripe CTO, introduces Dreamer, an "operating system" for consumer-friendly AI agents. He demos building a conference app in minutes using natural language, and details the platform's architecture, developer ecosystem, and monetization model for tool builders.

Andrej Karpathy on Code Agents, AutoResearch, and the Loopy Era of AI

Andrej Karpathy on Code Agents, AutoResearch, and the Loopy Era of AI

Andrej Karpathy discusses the paradigm shift to AI agent-driven development, the future of engineering and research with his AutoResearch project, the impact on jobs, and the evolving landscape of open-source models, robotics, and education.

⚡️Monty: the ultrafast Python interpreter by Agents for Agents — Samuel Colvin, Pydantic

⚡️Monty: the ultrafast Python interpreter by Agents for Agents — Samuel Colvin, Pydantic

Sam Khavari, the creator of Pydantic, introduces Monty, a new, secure, and high-performance Python interpreter written in Rust. Monty is designed specifically for AI agents, bridging the gap between simple, limited tool-calling and complex, slow, full-featured sandboxes.

The Future of Search: Agents, RAG, and Why Retrieval Still Matters — Simon Eskildsen, Turbopuffer

The Future of Search: Agents, RAG, and Why Retrieval Still Matters — Simon Eskildsen, Turbopuffer

Simon Hørup Eskildsen, founder of turbopuffer, shares his journey from scaling Shopify's infrastructure to creating a new search engine for the AI era. He discusses how a prohibitively expensive experiment at Readwise inspired him to build a cost-effective vector search solution based on object storage and NVMe. Eskildsen breaks down turbopuffer's architecture, its role in cutting costs for companies like Cursor and Notion, his philosophy on building a 'P99' engineering team, and how agentic workloads are changing the future of retrieval.

From Coder to Manager: Navigating the Shift to Agentic Engineering with Notion Co-Founder Simon Last

From Coder to Manager: Navigating the Shift to Agentic Engineering with Notion Co-Founder Simon Last

Notion's Co-Founder, Simon Last, discusses their evolution from a writing assistant to a platform for custom AI agents. He covers the technical hurdles of semantic indexing, the internal shift toward using coding agents to build Notion, and the fundamental transition from a tool where humans do the work to one where humans manage a swarm of agents.