Find published dossiers by topic, company, product or technology.

Showing 21–40 of 123 dossiers

GitHub Spark is shutting down August 31 — export code now and replace broken `llm()` calls

GitHub Spark stops being available to existing users on August 31, 2026. Deployed apps are meant to keep running, but owners should export code to a repository now; Spark apps using `llm()` need a separate inference provider because the underlying GitHub Models service retired July 30.

Indie BusinessActive dossier

Shopify starts moving app developers toward App Pricing

Shopify's App Pricing migration is now clearer: directly matching subscriptions can move through plan setup, while usage-based and price-mismatched subscriptions stay on the Billing API until a separate Migration API arrives.

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.

Google’s Data Agent Kit puts data-pipeline engineering inside coding agents

Data Agent Kit turns Google Cloud’s data tooling into an agent-callable developer surface. The useful shift is portability across coding assistants, but the kit remains an open-source integration layer around Google Cloud services rather than a vendor-neutral data runtime.

Google is temporarily restricting new Gemini API access from service accounts

The change creates an authentication compatibility boundary for server-to-server Gemini integrations: an architecture that works in an existing project may not be reproducible with a newly introduced service account, and Google has not published an end date for the restriction.

Google DeepMind is piloting double-blind frontier-model evaluations with confidential computing

The pilot attacks a persistent evaluation trade-off: labs do not want to reveal frontier-model internals, while evaluators do not want benchmark prompts leaking back to the model provider. DeepMind says a Singapore AI Safety Institute pilot kept both sides’ sensitive assets hidden during execution.

Ahrefs is making a Google-derived AI demand estimate the default in Brand Radar

Ahrefs is standardising Brand Radar on an estimated AI-demand metric because major AI platforms do not publish prompt volume. The new number can improve relative weighting between prompts and platforms, but it remains a modelled proxy rather than a count of how many people actually asked an AI system a question.

Google is adding hard spend caps and commitment pricing for AI agent workloads

Google’s new agent FinOps model combines hard monthly spend caps that pause agent API calls, Flexible Savings Plans with one- or three-year commitments, pay-as-you-go Gemini Enterprise usage and planned deferred execution at up to half normal inference cost. The controls are useful, but commitment economics and task eligibility need to be modeled carefully.

A preregistered field experiment finds Google’s AI search reduces publisher clicks

The study moves the AI-search traffic debate beyond observational correlations: participants were randomly assigned to current Google Search, a version with AI features hidden, or AI Mode-only search during ordinary browsing. It is still a preprint and does not establish effects for every query or publisher.