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Gemini 3.5 Transcribe gives developers separate live and file speech-to-text APIs at about $0.009 and $0.005 per minute

Gemini 3.5 Transcribe turns Google’s audio understanding into a purpose-built developer surface: low-latency live transcription costs roughly $0.009/minute at Google’s published assumptions, while file transcription is roughly $0.005/minute and supports richer metadata.

Cloudflare Workers now enables Node.js compatibility by default for new compatibility dates

Cloudflare has inverted a long-standing Workers assumption: Node.js compatibility is now on by default for current compatibility dates. That reduces setup friction for many npm packages, but it also means developers need to understand compatibility-date boundaries, partial APIs and explicit opt-out flags.

Kubernetes 1.37 moves more cluster operations into the core platform

The release consolidates several recurring cluster-management jobs into core APIs and controllers. HPA scale-to-zero is now default-on Beta, storage-version migration and Pod Certificates are Stable, DRA can satisfy existing extended-resource requests, and large etcd reads gain a streaming path that reduces peak memory pressure.

OpenAI’s Assistants API has shut down

The Assistants API shutdown date has passed. OpenAI’s deprecation documentation lists August 26, 2026 as the removal date and directs developers to Responses and Conversations for replacement workloads.

Google Cloud opens an agent-ready device farm for mobile testing

Google Cloud’s Developer Device Platform is now in public preview with remote physical-device streaming, parallel emulator testing, smart sharding and an agent skill that can drive multi-step journeys, inspect visual issues and feed fixes back into coding agents. It is billed per active device minute and remains a pre-GA service.

Google Cloud extends Agent Identity into Cloud Run with automatic Agent Registry registration

Agent Identity is moving from a standalone credential boundary into a mainstream serverless runtime. Cloud Run can now assign agent identities and register agents/MCP servers automatically, reducing custom discovery and identity plumbing while keeping the runtime integration itself in Preview.

Abacus.AI’s Smaug Agentic fine-tune targets the failure tail in long-running coding agents

The useful part of Smaug Agentic is not another frontier-style benchmark claim. Abacus.AI is publishing a drop-in Kimi K3 derivative that targets a specific production failure mode in coding agents: long runs that burn the reasoning budget without converging. The weights and model card are public, but the training data is not disclosed and the benchmark gains remain vendor-produced.