The Developer Skills That Will Actually Survive AI
The AI Native Dev - from Copilot today to AI Native Software Development tomorrowShow Notes
“You have to prioritize between the thing you want to do and the thing that actually is driving the business, that’s what really big companies are fighting every single day.” As former CEO of GitHub and now a startup founder again, Thomas Dohmke brings a rare, inside-out perspective on innovation across both worlds. In conversation with Guy Podjarny, he explains: • why startups and incumbents fight in different weight classes • why humans shouldn’t sit in every feedback loop as agents scale...
More from The AI Native Dev - from Copilot today to AI Native Software Development tomorrow
Your coding agent should never hold a credential, and in a software factory that rule is only the start. Recorded live at the AI Security Summit in San Francisco, Simon Maple sits down with Eli Aleyner (Docker), Marcelo Sousa (Snyk) and Ian Livingstone (Keycard), co-authors of Agent Baseline, a security reference architecture for the AI software factory. The panel unpacks why agents have to be treated as fundamentally unpredictable actors, why sandboxing alone is not enough when skills and M...
Skills and MCP servers are the new npm, and AI coding agents are pulling them into enterprise codebases faster than security can keep up. Manoj Nair, Chief Innovation Officer at Snyk, joins Guy Podjarny at the Snyk AI Security Summit to map where enterprise agentic coding really stands. They get into why a 50,000-agent Claude Code rollout was pulled forward by weeks, why the autonomous attacker has some CISOs ready to accept an outage to patch faster, and how security is moving into the agen...
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...
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...
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...