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113 results for “Improve on-call workload” · 61–72
News · AI in production ·
Mistral's October 6 launch offers a hosted trial for security investigations. Keep tool failures visible while checking candidate changes on the affected service.
Read news: Mistral Large 4 opens a preview for security investigationsNews · AI in production ·
Kolibri adds a customer-controlled bilingual model option. Its 3.46B active parameters come with about 78 GB of FP8 weights, plus memory for request state.
Read news: Aleph Alpha releases Kolibri for German and English workflowsNews · AI in production ·
Search results from Ceramic.ai, Exa and Linkup can enter an agent workflow through one gateway, while source versions and provider terms still need inspection.
Read news: Cloudflare adds web search to AI GatewayExplainer · AI in production ·
ninfer-ext trades a smaller EXL3 file for more decoding work in its published tests. The saved memory matters when it lets a request fit that would otherwise fail.
Read explainer: Why ninfer-ext’s smaller EXL3 model can run more slowlyExplainer · AI in production ·
Meet Pi, the open-source terminal agent built for people who want to shape their tools. Learn its history, uses, setup, model choices, costs and customization.
Read explainer: Pi.dev guide: the coding agent you can make your ownNews · AI in production ·
The desktop preview packages a configurable coding agent. Its plugins determine which model answers, which files it can read, and where commands run.
Read news: DeepSeek Harness connects a desktop agent to your models and toolsGuide · Observability ·
Tail sampling selects recorded traces by error, latency and other evidence. A checkout timeout shows how routing, waiting time and memory affect the trace a responder can retrieve.
Read guide: OpenTelemetry tail sampling through a checkout failureExplainer · AI in production ·
Jev answers supplied questions with choices, scores and probabilities. A token-rotation ticket shows how those structured outputs can fit a support router.
Read explainer: Jev returns typed answers for routing and scoring tasksNews · AI in production ·
Anthropic’s 50 successful attempts and CAISI’s 61.1% score measure different things. Their task definitions explain what each assessment says about GLM-5.3.
Read news: Why GLM-5.3’s cyber assessments report different scoresGuide · AI in production ·
CodeRabbit brings AI feedback into pull requests, editors and the CLI. A retry loop that exceeds its caller’s deadline shows the kind of finding that can repay review time.
Read guide: CodeRabbit: how to use AI code reviewGuide · AI in production ·
A release-note digest and a changed maintenance event show two uses of Muse’s persistent agent: gathering information over time and preparing a connected-account update.
Read guide: Meta Muse keeps research and connected tasks runningGuide · Observability ·
A durable queue can preserve telemetry through an outage, then take longer to catch up. Arrival rate, export capacity and event age explain what recovery looks like.
Read guide: OpenTelemetry Collector queues and the wait for fresh data