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James Moss - Using skills to pay the bills: graduating from solo hacks to a team workflow - DevCon26 Jul 15, 2026 · 32:39 Managing AI coding skills requires treating them as first-class software assets. The talk outlines best practices to prevent 'skill sprawl,' emphasizing centralized registries, automated reviews, and dedicated lifecycle management.

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Every Harness Will Become A Claw — Sam Bhagwat, Mastra Jul 21, 2026 · 15:36 AI agents are evolving from local 'Harnesses' to persistent, always-on services called 'Claws.' This shift requires adding initiative and external connectivity, fundamentally changing how we build developer tools. Robert Overweg - One Brain, No Filtering - AI Native DevCon June 2026 Jul 23, 2026 · 31:25 Discover how to build a 'One Brain' using AI agents and structured vaults. Learn about OpenClaw, semantic search, and transforming fragmented organizational knowledge into actionable insights. Morgan Stanley's ALPHALAB: Multi-Agent Research Across Optimization Domains — Brendan Rappazzo Jul 29, 2026 · 20:07 AlphaLab is a multi-agent system that automates quant research by managing the entire lifecycle: from natural language problem input to running cluster jobs and statistical tests. Its core value lies in building verifiable evaluation environments.

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How Worms Exposed the Real Attack Surface of Open Source - Charlie Eriksen - NDC Oslo 2026 Oct 28, 2026 · 57:21 The talk analyzes how worms exposed the real attack surface of open source. It details how speed, automation, and LLMs have transformed supply-chain attacks, making trust the most critical security challenge. Memory-Aware Agent Harnesses for Anti-Money Laundering — Nacho Martinez, Oracle Oct 17, 2026 · 51:49 The agent harness is the critical layer for building autonomous AI agents. By focusing on memory, context engineering, and tool management, engineers can make significant gains regardless of the underlying LLM model. I Spent Two Years Building the Median — Hariprasad Sudharshan Oct 14, 2026 · 36:11 AI makes building software easier than ever, but this convergence creates a 'median' product that is free for everyone. To succeed, focus on novelty and distribution, not just the model.

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