TAG
#developer productivity
Stories connected through a shared idea, actor, technology or theme.
Alibaba Open Code Review adds controllable LLM review budgets and live progressOpen Code Review 1.11.6 adds first-class controls for effort, maximum token budget and LLM reasoning effort, alongside live review progress. It also adds OCaml and ReasonML allowlists, line numbering in the existing-code viewer and signal-forwarding fixes.→OpenAI reports coding agents now exceed human research labour inside its organisationOpenAI says its research organisation uses the equivalent of 3.1 agent-workdays for every human workday, with the median high-usage researcher spending more than $600 per day at API prices. The company also reports more code, more experiments and increasing delegation of higher-level tasks, while noting that human researchers still set priorities, judge results and intervene on complex work.→GitHub details cost reductions in AI coding without reported quality lossGitHub described shipped Copilot changes including compression of repetitive command output, removal of unused line-number prefixes, shorter task prompts and direct delivery of completed background results. It reported approximately 5% lower offline benchmark inference cost, 3% lower average daily model-inference cost per user and a 2.3% reduction in token-related usage, with no material quality regression in its tests.→ACE Sidecar adds local cost and workflow observability for coding agentsThe sidecar records per-turn token, cache, latency and cost data, reads existing local transcripts, and stores metrics in a local SQLite database. It also exposes Prometheus metrics and mines repeated command sequences into installable SKILL.md files, while its optimisation recommendations currently measure rather than automatically change workflows.→