Presentation: What 25 Trillion Tokens Reveal About How Developers Actually Adopt AI Agents
Brendan O'Leary discusses how real-world AI adoption depends on building trust rather than chasing model benchmarks. Drawing from 40 trillion tokens…
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Presentation: Teaching Engineers, Trusting AI: How Education Enabled Autonomous Code Review
Sarah Deitke discusses how Duolingo drives cultural AI adoption beyond tooling access. She explains their internal AI literacy workshops and observa…
Rigorous Yet Sustainable Human Reviews in the AI Era
Mandatory AI checks paired with manual spikes for complex changes keep developers sharp. Teams can boost velocity by skipping peer reviews on low-ri…
AI Code Review at Scale: LinkedIn's Multi-Agent Approach
At LinkedIn's scale, relying solely on human reviewers or simply putting an off-the-shelf AI reviewer in front of GitHub is not an effective way to…
How Code in the Age of Artificial Intelligence Becomes Write-Only and Disposable
Artificial intelligence (AI) makes all code write-only,. It’s too dense to read, and tests define the behaviour and become the documentation. Code i…
Article: Comprehension as an Architectural Characteristic: A System That Is Not Understood Cannot Evolve Safely
As AI commoditizes code output, system comprehension silently decays, creating cognitive debt that threatens safe architectural evolution. This arti…
AI Is Moving up the Software Lifecycle: From Code Review to PRD Governance
Technology companies are extending AI beyond code generation into earlier stages of the software lifecycle, including PRD validation, design inputs,…