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137 results for “Set a release policy” · 61–72
Guide · 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 reviewNews · AI in production ·
A persistent assistant can gather context and prepare a dependency patch across conversations. The workspace and installed version determine what its test result means.
Read news: OpenAI Dots carries maintenance tasks between conversationsNews · Platform engineering ·
A published Codex Cloud environment gives new tasks prepared files and tools. Existing tasks retain their own working state, including tools installed before an update.
Read news: Codex Cloud gives coding tasks a reusable starting environmentNews · AI in production ·
Current Sonnet 5.5 docs list lower cache-read pricing. Review thinking and tool-call changes, then compare the full cost of an accepted task.
Read news: Sonnet 5.5 task costs, cache prices and API changesGuide · 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 dataGuide · AI in production ·
A missing response can leave a worker already created. Durable operation IDs and the destination’s idempotency contract let a replacement executor recover the original request.
Read guide: Recovering an automation write after a timeoutNews · AI in production ·
Anthropic reports lower Opus task costs and new preserved-thinking behavior. A runbook exception provides a concrete comparison of the model’s reasoning and integration requirements.
Read news: Claude Opus 5.5 lowers token prices and changes thinking behaviorNews · AI in production ·
SWE-Serve checks coding-agent patches through a running SGLang server. In NVIDIA’s experiment, adding live-serving checks reduced the pass rate for the same patches.
Read news: SWE-Serve tests coding agents through live inferenceNews · AI in production ·
Antigravity’s SDK supports Gemma through LiteRT and compatible local model servers. A hybrid cloud planner offers another arrangement, with filenames and task descriptions sent off-device.
Read news: Antigravity brings local models to its agent SDKGuide · AI in production ·
An unchanged prompt prefix can reuse model computation. A worked handoff comparison and Python calculator account for cache charges, retries and the reports reviewers accept.
Read guide: What prompt caching saves in an incident-handoff workflowNews · Platform engineering ·
An eight-B200 test retained 96.1% to 98.2% of baseline output-token throughput with confidential computing enabled. Its software and workload define what that comparison covers.
Read news: NVIDIA measures the overhead of confidential inferenceGuide · AI in production ·
An independent checkout request can contradict an agent’s recovery claim. This evaluation separates the agent’s evidence from the grader’s observations and includes a runnable Python example.
Read guide: Testing an incident-response agent against the service it must recover