AI Dev 26 x SF | Diamond Bishop: The Next 100 Agents. Building the Agent Native Office

Full Course: Spec-Driven Development with Coding Agents

Vibe coding is fast, but it often produces code that doesn't match what you asked for. Spec-driven development is the…

Build Your Own App In Just 30 Minutes! Full Course with Andrew Ng

Earn your certificate here: https://bit.ly/4ejb47H If you’ve never written code before, this course is for you. In less

AI Dev 26 x SF | Ara Khan: Evals Are Broken Use Them Anyway

This talk by Cline's Ara Khan explains why they went from "evals are useless" to using them as a core…

AI Dev 26 x SF | Andi Partovi: Why Every Agent Needs a Simulation Sandbox

AI agents fail in unpredictable ways that traditional testing can't catch — hallucinations, wrong tool calls, policy vio

AI Dev 26 x SF | João Moura: Building Recurring, Governed, and Embedded Enterprise Workflows

Modern enterprises don't struggle to experiment with AI — they struggle to operationalize it reliably. In this talk, Cre

AI Dev 26 x SF | Luke Kim: The Agent Data Stack—Why Every AI Agent Needs Its Own Data Stack

From centralized to distributed: In the old world, organizations relied on one centralized data and AI platform. In the

Technology and AI: four English-language YouTube channels that earn a small company's time

Four of the 29 English-language technology and AI channels in our register, chosen for method over verdict: what a tool…

Eval platform maturity: why it’s harder than it looks

Why building an eval platform is harder than a spreadsheet: eval maturity stages, messy agent traces, and how evals pair…

Marketing Agents: What Actually Counts as One

A marketing agent needs unified data, a cadence, and a feedback loop. Here's the real stack — pipeline, warehouse, cloud…

Knowledge Cutoff: Why Your Coding Agent Is Already Behind

A Knowledge Cutoff gap means AI coding agents review code they've never seen. Here's why bolting on search isn't enough…