An OpenAI leader sketches a near future where persistent AI agents handle most online work, while humans trade configuration and rote coding for taste, creativity and collaboration. The conversation considers the strain of agent-driven scale, the need for safety guardrails, and the push to make AI less like an app and more like ambient infrastructure.

Cockroach Labs CTO Peter Mattes traces a career through GIMP, Gmail’s storage systems and distributed databases, with B-trees recurring as a durable engineering obsession. He also makes the case that AI coding agents can raise output without sacrificing rigor, provided engineers force them to test, measure and review relentlessly.

Hamster co-founder Andrew describes building AI collaboration software for product teams, where briefs, specs and plans share context instead of splintering across Slack, documents and project trackers. The conversation traces how faster AI-assisted building makes alignment, design critique and clear strategic direction more urgent.

Maggie Appleton traces how an anthropologist turned design engineer thinks through software’s human context, from paper sketches to agent-built prototypes. She argues that good design lives in the tension between technical constraints, cultural taste and the cognitive limits of the people using the product.

Former Snap and Discord product leader Peter Sellis makes the case for ideologically aligned teams, ruthless focus on core users and a product culture built around restraint. He also dissects why mediocre PMs proliferate, why Snap’s advertising business faced structural limits and how AI may raise the value of taste.

Product strategist Rich Mironov argues that AI-powered code generation will not create limitless demand, only more competition for fixed budgets. He makes the case for product teams to spend less time shepherding development and more time on discovery, strategy and turning software into revenue.

Jory Bell brings a hiring manager’s eye to a job market shaped by AI anxiety, specialized roles and the premium on adaptability. She argues that thoughtful outreach, clear storytelling and real rapport matter more than spray-and-pray applications or a polished résumé alone.

Codex lead Thibault traces the coding agent’s path from OpenAI’s infrastructure work to an open-source Rust harness, arguing that agentic software development shifts attention from code review toward intent, contracts and architecture. He also describes how cheap maintenance and re-architecture are remaking the pace of engineering inside OpenAI.

Roman Ugarte traces GrokBot’s rapid rise from a skunkworks knowledge-work experiment to a cloud-based cadre of AI colleagues. The conversation makes the case for stripping away software clutter and giving bots the autonomy, memory and computers to take on real work.

Two interview coaches argue that take-home assignments are no longer a box-checking exercise in a brutal hiring market. Their prescription: schedule the work deliberately, enlist trusted critics before the prompt arrives, and revise for both strong ideas and a story anyone can follow.

A16Z’s Anish Acharya pushes back on AI doomerism, arguing that the technology will widen human agency and reward ambition rather than create a permanent underclass. He maps the rise of AI-powered business loops, the enduring value of human intuition, and a consumer future built around connection, creativity, and joy.

OpenAI product leader Tara Seshan describes a workplace reshaped by agents, where product managers test sharp hypotheses quickly, widen their ambitions and learn to steer rather than row. She also traces the messy transition from chatbots to persistent AI coworkers, with trust, context and human judgment still doing the hardest work.

Eric Ries argues that companies become “sophisticated zombies” when shareholder primacy overwhelms their missions, and makes the case for governance structures built to defend purpose over time. The Lean Startup author outlines how boards, founders and consumers can reward long-term stewardship over extractive dealmaking.

Enterprise sales veteran Jen Abel maps the 15-step path from first outreach to signed contract, arguing that information advantage and careful project management beat rigid scripts. The conversation treats demos, pilots and procurement as chances to build internal champions rather than merely advance a pipeline.

Former Chrome engineering director Addy Osmani traces his path from building a browser as a rural Irish teenager to shaping DevTools and Core Web Vitals at Google. He also weighs how AI agents are remaking software work, leaving engineers responsible for judgment, verification and accountability.

Product recruiter Chris Lee explains why job seekers should tailor their LinkedIn narratives to a specific target, treating the search as a test of candidate-market fit. He also walks through how recruiters scan profiles for stage, domain, seniority and hands-on AI experience before deciding whom to contact.

OpenAI’s Ian Silber argues that designers rattled by AI’s rapid advance are confronting an uncertain role, not an obsolete one. He describes a field where curiosity, systems thinking and a willingness to ship imperfect ideas matter as much as pixel-level polish.

Open-source developer Simon Willison traces how coding agents have turned ambitious software experiments into morning chores, while making judgment, review and cognitive capacity newly scarce resources. He and Claire Giordano consider the pressure this velocity puts on maintainers, contributors and the next generation of programmers.

Town’s mayor argues that AI assistants should build themselves around users’ inboxes, calendars and work habits, turning private data into an evolving personal wiki. The conversation weighs the appeal of proactive software against the privacy, trust and job-displacement questions that follow.

Benchmark partner Sarah Tavel traces AI’s likely consumer evolution from technically driven breakthroughs to socially native products, arguing that the next winners will make powerful tools easier to share, trust and use. She also considers network effects, stablecoins and the ways AI could sharpen venture capital’s decision-making.