The AI Native Dev - from Copilot today to AI Native Software Development tomorrow

130 Episodes

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Maria Gorinova: Feedback Loops That Fix Your Codebase

2026-10-1337:57

Agent feedback loops are how a software factory maintains itself: agents mining their own session logs, PR comments and production signals, then fixing what they find. Maria Gorinova, member of technical staff at Tessl, explains how to build them, and why vague intent turns a loop into a mess. What we cover: – What a software factory is: repeatable workflows, a shared execution environment and agent feedback loops – Why agent context alone isn't enough, and where harness engineering comes in...

Legora CTO: Why AI Agents Need More Than a Chat Window

2026-10-0644:22

AI coding agents now write almost all of Legora's code, with engineers running up to ten in parallel. Yet the CTO behind that shift thinks measuring adoption by tokens burned is a mistake. Jacob Lauritzen, CTO of Legora, joins Simon Maple to unpack what actually scales when agents do the typing, and where human judgment still has to stay in charge. What we cover: – How Legora's engineers orchestrate many AI coding agents at once, from shared local dev resources to cloud agent setups – An age...

Liz Fong-Jones: 2x the PRs, 1.5x the Incidents

2026-09-2949:38

Honeycomb went from 30 to 70 merged pull requests a day in three months. The catch: automated code review, not code generation, became the real bottleneck of software automation. Liz Fong-Jones, Technical Fellow at Honeycomb, explains why incidents still rose 1.5x, how their internal bot Autobot now reviews every PR, and why AI amplifies whatever org you already have. What we cover: – How automated code review lets humans focus on design, not trivial bugs – Using a decision model like Jev to...

Dexter Horthy: Why We Stopped Trusting AI to Write the Plan

2026-09-2256:12

HumanLayer CEO Dexter Horthy on why his team's bet on spec driven development nearly wrecked their own codebase, and what changed his mind about reviewing AI-written code. Dexter walks through the "YOLO pull request" experiment that ran for months before the codebase became unusable, the "dumb zone" that limits how much context you can hand a model, and why he now believes there will always be alpha in reviewing something. What we cover: – How HumanLayer's "read the plan, skip the code" expe...

AWS's Marc Brooker: Specs, Not Code, Are the Hard Part

2026-09-1656:49

Spec-driven development is reshaping what software engineers actually do all day, and Marc Brooker, VP and Distinguished Engineer at AWS, has read 3,000 to 4,000 postmortems that convinced him the code was never the hard part. In this episode of The AI Native Dev, Marc explains why testing and specification are now the real engineering work, why metastable failures keep taking down systems that look perfectly healthy, and why he still won't let AI write a single word of his blog. What we cov...

#box-pro-ellipsis-179202529330147{-webkit-line-clamp:2;}The AI Native Dev - from Copilot today to AI Native Software Development tomorrow

The AI Native Dev - from Copilot today to AI Native Software Development tomorrow