Oct 03, 2026

How VS Code Went from Monthly to Weekly Releases with AI — Harald Kirschner

Harald Kirschner, principal product manager on VS Code at Microsoft, explains how a small team serving more than 50 million users moved from monthly to weekly releases by rebuilding its whole delivery system around AI agents. He covers faster shipping through agent-ready codebases, skills, and a 10x faster TypeScript Go build, quality practices like mandatory AI code review, AI triage, auto-fix PRs and staged rollouts, and faster learning through VSC-Bench evals and daily prototyping.

Oct 02, 2026

Why Building an AI Agent Is Easier Than Deploying One

Vladimir Keil, co-founder and CEO of Lio, joins Seema Amble and Elena Burger to explain why AI-native startups can beat incumbent software vendors even when those vendors own the customer, the data, and the system of record. The discussion covers the work that happens outside systems of record in enterprise procurement, Lio's multi-agent architecture spanning retrieval through principal agents, how buyers learn to trust agents with consequential negotiations, and what happens when suppliers and buyers both run agents.

Oct 02, 2026

Building AI Agents for Everyone

Gumloop co-founders Max Brodeur-Urbas and Rahul Behal discuss how a visual workflow builder evolved into an enterprise agent platform, what they learned from more than 1,100 customer calls, how a power user at Instacart opened the door to enterprise sales, and why the people who understand a task should be the ones automating it. The conversation covers enterprise requirements, pricing transparency, model neutrality, and the IT-led buying dynamics that shape adoption.

Oct 02, 2026

MCP Doesn't Suck. Your Agent Does. — Jan Čurn, Apify

Jan Čurn, founder and CEO of Apify, argues that the backlash against MCP targets the wrong layer. Context bloat and token burn come from naive agent harnesses, not the protocol. He reviews the industry's three main fixes (sub-agents, progressive tool discovery and Code Mode), explains why agents work well with CLIs, proposes MCP for remote access and CLIs for local use, and demos mcpc, Apify's open-source universal MCP CLI client, alongside early Connector Evals results.

Oct 02, 2026

OpenAI cancels Astra release, Sonnet 5.5 & what Meta Muse means for work

IBM's Mixture of Experts panel examines OpenAI's decision to withhold GPT-6.1 Astra, Anthropic's Sonnet 5.5 blurring the line between mid-tier and top-tier models, and Meta's Muse agent as a bridge between consumer AI habits and enterprise expectations, with a detour into token budgets, model routing, and AI governance.

Sep 30, 2026

Inside OpenAI DevDay: Superhuman Computer Use, Decisions API, and the AI Cloud — Ari & Nikunj

OpenAI has unveiled significant advancements in its AI agents and developer APIs, transforming Computer Use into a self-debugging system capable of superhuman speeds. Key innovations include multimodal interfaces, the Agents API for building on OpenAI's harness, and a new API stack featuring async tool calling, UltraFast inference, and the rapidly developed Decisions API for fast classification. These advancements, coupled with robust caching and context compaction, pave the way for an "AI cloud" with higher-level primitives for developers.