High Output: The Future of Engineering

We recorded this episode with Steve back in October of 2025, before he invented Beads and Gastown. Several of his predictions have aged well in the months since.Steve Yegge has been VP or head of...

Most engineering leaders spend enormous energy on process. Which agile framework. Which sprint cadence. Which AI coding tool to adopt. How to standardize workflows across teams. The assumption is...

Some engineering teams are seeing real, measurable AI productivity gains. Cursor is transforming how frontend developers build React apps. AI-assisted code review is catching bugs before deployment....

When you’ve bootstrapped an engineering org from 2 people to 500, working with Fortune 500 clients like Intel and Samsung, you learn something most AI builders miss: the best technology doesn’t...

When you provision thousands of GPU clusters weekly for Apple, Spotify, OpenAI, Uber, Runway, and Cursor, you see something nobody else does. From the infrastructure layer, the patterns are...

Most engineering leaders learn leadership the hard way.They get promoted from IC roles and suddenly find themselves managing people they used to work alongside. They default to command-and-control...

Most engineering leaders are still running interviews like it's 2004.Multiple coding rounds. Brain twisters on whiteboards. Engineers throwing their favorite puzzle at candidates. The whole process...

Most hypergrowth startups hire fast and regret it later.They compromise on quality to fill seats, rationalize cultural misfits as "learning experiences," and spend months fixing the technical debt...

Mike Weaver followed every rule in the engineering playbook.When LLMs started disrupting Replicant's voice automation platform, he did exactly what conventional wisdom dictates: "Let's incorporate it...

Most engineering leaders think about AI wrong.When they see a new model, they ask: "How fast can we ship this?" But the interesting question is: "Where will this break?"Troy Astorino figured this out...

This week on High Output, Adil Ajmal, CTO of Fandom, tackles the question every engineering leader is wrestling with: How do you get an entire organization to adopt AI without simply mandating...

This week on High Output, Tacita Morway, CTO of Textio, reveals why the biggest challenge in the AI era isn't learning new tools—it's learning what not to build.From landscape design to heavy...

As AI reshapes the what of engineering, leadership is about focusing on the who.This week on High Output, Glenn Veil, SVP of Engineering at Order.co, shares how three decades of unplanned leadership...

We’re thrilled to share something we’ve been working on at Maestro AI behind the scenes: High Output, a weekly conversation series where visionary engineering leaders unpack how they’re shipping...