Posts

The Best Programmer I Know • Daniel Terhorst-North • GOTO 2024

The Best Programmer I Know • Daniel Terhorst-North • GOTO 2024

Daniel Terhorst-North explores the learnable traits of great programmers, challenging the notion of innate talent. He outlines a three-part framework focusing on effective execution, selecting appropriate tools, and fostering a psychologically safe team environment, emphasizing that greatness is achieved through deliberate practice and a focus on product and people over code.

Too much lock-in for too little gain: agent frameworks are a dead-end // Valliappa Lakshmanan

Too much lock-in for too little gain: agent frameworks are a dead-end // Valliappa Lakshmanan

Lak Lakshmanan presents a robust architecture for building production-quality, framework-agnostic agentic systems. He advocates for using simple, composable GenAI patterns, off-the-shelf tools for governance, and a strong emphasis on a human-in-the-loop design to create continuously learning systems that avoid vendor lock-in.

From Spikes to Stories: AI-Augmented Troubleshooting in the Network Wild // Shraddha Yeole

From Spikes to Stories: AI-Augmented Troubleshooting in the Network Wild // Shraddha Yeole

Shraddha Yeole from Cisco ThousandEyes explains how they are transforming network observability by moving from complex dashboards to AI-augmented storytelling. The session details their use of an LLM-powered agent to interpret vast telemetry data, accelerate fault isolation, and improve MTTR, covering the technical architecture, advanced prompt engineering techniques, evaluation strategies, and key challenges.

Threat Intelligence: How Anthropic stops AI cybercrime

Threat Intelligence: How Anthropic stops AI cybercrime

Anthropic's Threat Intelligence team discusses their new report on how AI models are being used in sophisticated cybercrime operations. They cover the concept of "vibe hacking," a large-scale employment scam run by North Korea, and Anthropic’s multi-layered strategy to detect and counteract these threats.

How Scale AI is Pioneering the Future of Work

How Scale AI is Pioneering the Future of Work

Ben Scharfstein from Scale AI and a16z's Joe Schmidt discuss the nuances of enterprise AI adoption, contrasting vertical AI products with custom solutions. They delve into the 'forward-deployed engineering' model as a strategy to build durable moats by solving complex, specific enterprise problems, effectively 'trading margin for moat' in the new AI paradigm.

How This 25-Year-Old Built A $675M Legal AI Startup (With No Legal Experience)

How This 25-Year-Old Built A $675M Legal AI Startup (With No Legal Experience)

Max Junestrand, co-founder and CEO of Legora, shares insights on building a successful vertical AI company for the legal industry. He discusses their product strategy, the technical stack designed for a multi-model future, the go-to-market motion for conservative industries, and the challenges of scaling from 10 to 100 people in 13 months.