Which AI writes the better take? You decide — blind.

A new alpha release, datasette-agent-micropython 0.1a0, aims to let Datasette Agent safely generate and execute Python code within a sandboxed environment. Early testing has been promising, with GPT-5.5 so far unable to break out of the sandbox.

Meta has launched its AI customer support agent for WhatsApp Business globally, enabling businesses to handle queries, recommend products, and manage appointments. The AI tool, tested in markets like India and Mexico, will be part of WhatsApp Business Premium subscriptions, with pricing based on usage for larger enterprises. Meta is also expanding the agent's capabilities to include market research, calendar management, and integration with platforms like Shopify and Zendesk.

JetBrains has released Mellum2, an open 12B-parameter Mixture-of-Experts model optimized for low-latency text and code tasks. The model activates only a subset of its parameters per token, delivering more than twice the inference speed of similarly sized open models while remaining competitive on code, reasoning, science, and math benchmarks. JetBrains positions Mellum2 as a "focal" model for high-frequency operations such as routing, RAG pipelines, sub-agent tasks, and private self-hosted deployments.

Uber has imposed a $1,500 monthly spending cap per employee on AI coding tools like Claude Code to control costs after exceeding its AI budget. The limit applies separately to each tool, preventing overspending while still allowing engineers flexibility. This policy reflects Uber's effort to balance AI productivity gains with financial sustainability.

Microsoft has released ASSERT (Adaptive Spec-driven Scoring for Evaluation and Regression Testing), an open source framework that lets developers create AI behavior tests from plain-language descriptions of their system's intended goals, policies, and constraints. The tool converts those descriptions into structured tests, generates and runs problem scenarios against the target system, scores the results, and records the AI's decision paths so developers can pinpoint failures. Microsoft says the framework can be used during development, after deployment, and for continuous monitoring, addressing the need for application-specific evaluations that broader benchmarks cannot cover.