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Engineering culture, developer tooling and the working lives of the people who ship software, from The Silicon Ledger.
Sierra's new Hyper-τ-bench benchmark measures how well AI systems can autonomously construct other AI agents. The results reveal significant gaps in information gathering and design exploration.
OpenAI has given artificial intelligence models the authority to reject code submissions when they detect security vulnerabilities, a shift that engineers say is transforming how the company handles reviews, maintenance, and refactoring.
As AI agents begin handling security alert investigations, technology leaders face a critical question: how much decision-making authority should machines have in security operations centers?
Martin Reynolds, field CTO at Harness, discusses how AI coding agents are overwhelming engineering teams with pull requests and why the company rebuilt its repository infrastructure to manage the deluge.
As developers embrace AI coding tools at unprecedented rates, the traditional code review process has become overwhelmed. Two industry experts will debate whether automated policy enforcement can restore quality without relying on more artificial intelligence.
David McJannet, who led HashiCorp through its cloud infrastructure boom, is now founding Dome Systems to solve what he sees as the central challenge of the AI agent era: giving enterprises the controls they need to safely deploy autonomous applications.
OpenAI's research agents are clocking 3.1 workdays for every human workday, yet the company's own metrics show that human oversight—not agent capability—has become the limiting factor in research productivity.
A new analysis reveals that Claude Code, Cursor, and Codex make wildly different tool choices for identical tasks, forcing software vendors to rethink their entire go-to-market strategy in an age where machines, not humans, decide what gets deployed.
