Developer tools

Agentic SDLC at Uber — Uday Kiran Medisetty & Adam Huda, Uber

Agentic SDLC at Uber — Uday Kiran Medisetty & Adam Huda, Uber

Uber has transformed its software development with an agentic AI-powered factory, leading to a dramatic increase in engineer productivity. The presentation details six key infrastructure components: a unified model gateway with strict PII and safety guardrails, an MCP gateway for streamlined agent tool access and token optimization, agentified dev pods for rapid execution, a managed skills marketplace, a comprehensive context graph, and the Cortana AI assistant. Adam Huda then demonstrates an end-to-end feature development workflow, highlighting a critical shift to inner-loop validation (stopping short of CI) and automated, managed maintenance loops. The ultimate takeaway is that the bottleneck has moved from technical execution to strategic decision-making: "should we build it?" rather than "can we build it?"

Peter Steinberger: What Happens When 4.7 Million People Let It Cook

Peter Steinberger: What Happens When 4.7 Million People Let It Cook

Peter Steinberger, founder of OpenClaw, shares the candid story of building one of the world's largest open-source AI projects. Starting from a personal annoyance, OpenClaw went viral, leading to both immense success and unforeseen challenges, including burnout, security pressures, and feature creep. He offers invaluable lessons on product-market fit, managing hyper-growth in open source, the peril of dependencies, and the philosophy that "fun is velocity" in building impactful technology.

Velocity Sickness: What Happens When Your Whole Team Gets 10x Faster — Matt Dailey, Ref.

Velocity Sickness: What Happens When Your Whole Team Gets 10x Faster — Matt Dailey, Ref.

Matt Dailey introduces "velocity sickness" – the stress of increased AI output without impact. He proposes shifting from ephemeral chat-based agent interactions to durable, shared documents as the "decision layer" to separate planning from implementation, enabling teams to own their code and prioritize ideas effectively.

Opencode CEO: Blocked, 20X Growth in 6 Months, Building the Coding Agent for the World

Opencode CEO: Blocked, 20X Growth in 6 Months, Building the Coding Agent for the World

Jay V, founder and CEO of Opencode, shares insights into the explosive growth of his platform, an open-source alternative to proprietary coding agents. He details Opencode's journey to 13 million monthly active users and 7 trillion tokens processed daily, attributing its rapid rise partly to an unexpected controversy with Anthropic and the maturing open-source model ecosystem. The discussion delves into global user adoption, the economic shift in AI token consumption, and how Opencode's strategic product design, rooted in 16 years of entrepreneurial persistence, positions it as a critical marketplace for diverse AI models, serving both individual developers and Fortune 500 companies.

How Supabase Became One Of The Fastest Growing DevTool Companies In The World

How Supabase Became One Of The Fastest Growing DevTool Companies In The World

Supabase CEO Paul Copplestone details how a frustrating Firebase migration sparked an open-source side project that grew into a decacorn. He explains the strategic choice of PostgreSQL and open source, the evolution of developer experience to achieve 5-second time-to-value, and the transformative impact of AI agents, which now launch millions of Supabase databases monthly. The conversation also covers the challenges and advantages of a fully distributed workforce and the future bet on 'self-driving databases' to address the complex 'operate' stage of AI-driven development.

Agents Need Feature Flags - Sachin Gupta

Agents Need Feature Flags - Sachin Gupta

AI teams are deploying advanced agent systems without the fundamental safety mechanisms (feature flags, canaries, kill switches) that web teams adopted over a decade ago. This oversight leads to critical incidents like data deletion and financial loss. This talk introduces six agent-specific feature flag types—for prompts, tools, models, memory, autonomy, and sub-agents—and outlines a practical playbook for secure AI deployment, emphasizing the critical role of a pre-wired kill switch to manage the high blast radius of AI agents.