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Software engineering

Linear chart shows 3.7 times as many tests and 46 percent less machine time per test; Linear

AI coding moved Linear's bottleneck from generation to verification

Metrics, logs, and traces converge toward an unresolved root-cause node on an abstract observability dashboard

ORCA-bench shows coding agents are not ready for on-call root cause analysis

Layered pull request cards rise from one branch into separate review panels before merging

GitHub stacked pull requests give coding agents smaller review units

A repository map with abstract native-language request cards passes through a sealed testing gate

RuBench tests coding agents on native Russian repository tasks

RuBench adds 25 repository-level coding-agent tasks written natively in Russian, with withheld regression tests and product-agent runs.

The AI Feed Desk

By The AI Feed Desk

A coding benchmark grid is inspected with several task blocks cracked or flagged

OpenAI retracts SWE-Bench Pro recommendation after benchmark audit

OpenAI audited SWE-Bench Pro and now estimates that roughly 30% of its tasks are broken, weakening a key coding-agent evaluation.

The AI Feed Desk

By The AI Feed Desk

An AI-generated pull request passes through a software review gate with quality checkpoints

Cognition's FrontierCode asks whether AI code would survive review

FrontierCode evaluates coding agents on mergeability, code quality, scope, tests, and maintainer judgment instead of only functional correctness.

The AI Feed Desk

By The AI Feed Desk