Security

Building Agent Interfaces: Lessons from Chrome DevTools (MCP) for Agents — Michael Hablich, Google

Building Agent Interfaces: Lessons from Chrome DevTools (MCP) for Agents — Michael Hablich, Google

Michael Hablich from the Chrome DevTools team shares hard-won engineering lessons on building effective and secure interfaces for AI agents. The talk covers moving from raw data to semantic summaries, measuring interface efficiency with 'tokens per successful outcome', designing for error recovery, and the critical importance of trust boundaries and deliberate friction in UI design for agents.

Language-Agnostic Detection of Bugs in Zero-Knowledge Proof Programs

Language-Agnostic Detection of Bugs in Zero-Knowledge Proof Programs

A summary of a talk on a new language-agnostic approach using abstract interpretation to find critical vulnerabilities in Zero-Knowledge Proof (ZKP) programs by modeling and detecting mismatches between prover computations and verifier constraints.

Skill Issue: How We Used AI to Make Agents Actually Good at Supabase — Pedro Rodrigues, Supabase

Skill Issue: How We Used AI to Make Agents Actually Good at Supabase — Pedro Rodrigues, Supabase

A deep dive into building, testing, and iterating on Agent Skills to improve AI agent performance. This workshop covers the core concepts of progressive disclosure, eval-driven development, and practical application using a real-world Supabase and PostgreSQL security scenario.

Q‑Day Explained: How Quantum Computing Threatens Today’s Cryptography

Q‑Day Explained: How Quantum Computing Threatens Today’s Cryptography

Q-Day, the day a quantum computer will be powerful enough to break current encryption standards, is an inevitable threat. This summary explains how quantum algorithms like Shor’s and Grover’s will compromise both asymmetric and symmetric cryptography, the severe consequences for data confidentiality and digital trust, and why the "Harvest Now, Decrypt Later" attack vector makes immediate migration to post-quantum cryptography a critical priority for all organizations.

Learning API Styles • Lukasz Dynowski & Sam Newman • GOTO 2026

Learning API Styles • Lukasz Dynowski & Sam Newman • GOTO 2026

This GOTO Book Club episode features an in-depth conversation between Sam Newman and Lukasz Dynowski, co-author of "Learning API Styles," exploring the foundational network layer of APIs, various API styles, critical trade-off decisions, and future trends like WebTransport and gRPC. The discussion emphasizes treating APIs as products, understanding consumer context, and the eight key characteristics of a well-designed API, complemented by a cautionary tale on database access.

⚡️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.