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Cloudflare Worker Previews gives every Git branch its own isolated runtime

Branch previews are common for frontend code, but Worker Previews extends the boundary to the runtime itself. Each branch can have independent bindings, state and logs, making parallel human and agent work safer while preserving a production-like execution path.

Grafana Agent Observability links live agent telemetry to evals and CI regression gates

The observe–test–release loop now has explicit economics: Free and Pro include 30,000 captured generations and 25 million system-initiated AI tokens per month; Pro overages start at $1.50 per 1,000 generations and $2 per million LLM Eval/Guard tokens, while ordinary telemetry is billed separately.

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.

Google Ads starts showing how many conversions your first-party data recovered

The shift is broader than another Ads dashboard metric. Google is connecting first-party data pipelines, conversion-recovery estimates, open-source marketing-mix modeling and causal geo experiments into one measurement stack — useful, but still heavily dependent on Google’s own modeling and internal benchmark claims.

Reddit opens Max campaign creation to third-party Ads API clients

The change makes Reddit's more automated campaign type usable by agencies, ad-tech platforms and internal campaign systems instead of only through first-party buying surfaces. It expands automation reach, but third-party builders inherit Max's creative and optimization assumptions rather than gaining a new manual campaign type.