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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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An article on Martin Fowler’s blog by Kief Morris examines the role of humans in AI-assisted software engineering, arguing developers are unlikely to move fully “out of the loop.” Instead, teams may work “on the loop,” designing tests, specifications, and feedback mechanisms to guide AI agents, as industry discussions focus on how such systems should be verified and governed.
By Matt Foster
At QCon London 2026, Spotify's Jo Kelly-Fenton and Aleksandar Mitic discussed Honk, an AI-powered coding agent that enables code migrations across Spotify's codebase. The system improves migration, reducing timelines drastically and addressing complexities that traditional scripts could not. Key challenges included handling edge cases and standardizing the codebase to facilitate review processes.
By Daniel Curtis
HubSpot engineers introduced Sidekick, an internal AI powered code review system that analyzes pull requests using large language models and filters feedback through a secondary “judge agent.” The system reduced time to first feedback on pull requests by about 90 percent and is now used across tens of thousands of internal pull requests.
By Leela Kumili
In a talk at QCon London 2026, Viktor Petersson argued that software teams are running out of time to adopt SBOMs (Software Bills of Materials) due to pending legislative changes in both the US and Europe. He walked through the current regulatory landscape, spoke on the practical mechanics of generating high-quality SBOMs and on the emerging standards for distributing the resulting artefacts.
By Matt Saunders
Rafael Ring discusses the architectural evolution of server-driven UI at Nubank, moving from static mobile binaries to a sophisticated scripted framework called Catalyst. He explains how they implemented a tree-walk interpreter in Flutter to render dynamic layouts and logic from JSON payloads.
By Rafael Ring
© 2026 Created by Michael Levin.
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