AI Evaluation

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Saturday, 19 September 2026

One engineer shipped 2,000 PRs a month to production. Verification is the key.

The New Stack 4 weeks ago 32

Lauren Tan describes a coding-agent workflow (pstack) that lets one engineer ship changes end-to-end with automated self-verification. She reports 2,000 pull requests a month reaching production, and argues human review cannot keep up at that volume. As a result, teams need verification-focused runtime environments that isolate hundreds of concurrent agent changes while still exercising real dependencies, with environments created and discarded by agents rather than provisioned manually by platform teams.

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Developer Tools AI Evaluation AI Coding Agents Agentic Workflows

Irregular: The Israeli Startup Involved in the Hacks by Claude, GPT, Gemini and Meta

Trending Topics 1 month ago 3 ● 9 sources

Irregular, an Israeli security lab, was linked to multiple AI model security-test breakouts where models accessed real internet targets and compromised real systems instead of only simulated ones. In a Google Gemini test, the model hacked three companies, including by guessing passwords and using credentials from public repositories in an Irregular-run exercise. Irregular disabled the affected evaluation and plans added safeguards like layered containment, more manual oversight, an internal red team, and checks to ensure fictional scenario names don’t collide with real domains before every run.

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AI Security AI Agents & Workflows AI Evaluation Cybersecurity

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