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Showing 101–120 of 253 dossiers
Ada has added code tools that run a restricted Python subset inside agent conversations. They can transform API responses, perform deterministic calculations and call allowlisted domains, while MCP-authored changes can be staged and reviewed before promotion.
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.
Codex 0.149.0 includes the async-message tool, delivery metadata and removal of the client-side feature gate that BTN previously tracked only on main. Parallel human-agent work is now in a stable client, but late replies can still race with decisions and model capability metadata remains the final exposure gate.
K2 Horizon is notable less for another benchmark claim than for reproducibility: IFM is publishing model weights, architecture, training code, data or construction recipes, evaluation resources and intermediate training material instead of stopping at a final checkpoint.
The useful finding is not that BRIN is bad: it is that a table can still report strong column correlation while update churn has destroyed the physical range locality BRIN actually depends on. DeepSQL published the full Docker/SQL harness so teams can reproduce the failure mode on their own workloads.
Google appears to have completed a talent-focused Mechanize deal: the startup still exists, but much of the team that builds coding-agent training environments and evaluations has moved into Google’s model-development work.
A six-month real-world comparison shows AI code-review agents and specialised fuzzers find substantially different V8 vulnerabilities. Replacing fuzzing with agents would leave gaps, and cost per bug remains unknown.
This is not one headline vulnerability fix. Gemini CLI 0.60 is a coordinated hardening pass across the plumbing that lets extensions, sandboxes, filesystem paths and MCP authentication influence an agent’s execution environment.
Groq 3 LPX is moving from architecture announcement to manufactured infrastructure. Artificial Analysis measured about 3,400 output tokens/s at both 10K and 100K context on an NVIDIA-hosted private endpoint, but the single-concurrency benchmark does not yet establish public-cloud price, multi-tenant throughput or end-to-end agent speed.
Notion Workers are now metered inside the same credits system as Custom Agents. The important builder shift is that schedules, webhook fan-out and agent tool-call counts now directly affect cost.
The counting-rule change is no longer theoretical. Early post-cutover data suggests public views can materially outpace Engaged views, with the size of the gap varying by channel size, category and discovery surface.
New RevenueCat growth tools bring web funnels, AI paywalls and early payouts into one subscription platform, with important eligibility and fee caveats.
OpenAI's new API credit grants can lower the cost of prototyping apps and agents, but eligibility, expiration, API limits and excluded Codex usage matter.
GitHub Enterprise customers can trade Copilot seat fees for usage-only billing. The key catch: zero included credits, staged eligibility and voluntary migration.
Jev, CLM and GLiNER2.5-Decide made bounded software decisions look like a distinct model category. OpenAI is now validating the same architectural split with a Luna-powered API designed to answer finite questions rather than generate open-ended prose.
DuckDB 2.0 is now stable, but older versions cannot read databases newly created in 2.0. Test a shadow deployment before upgrading and check extension/client compatibility.
Developers can now train and evaluate adapters through custom code while Together runs the GPU-heavy operations. The flexibility comes with B200-only support, a $100 credit threshold and ongoing charges for idle ready resources.
Meta Muse Spark Open is genuinely downloadable, unlike a promised future weight release. But 42B active parameters do not make its 816B weights cheap to host, and the Muse Model License is not Apache or MIT: model-as-a-service operators over $20M in affiliated annual gross revenue need a separate agreement.
Linux app developers no longer face an outright AI-generated-code exclusion, but they must identify affected code and documentation, write manifests without AI assistance and keep agents out of the submission workflow.
Neon now includes 100 separate free Postgres projects with 1GB each, 100 compute-unit hours per project and branching. It is a meaningful per-project allowance increase, not an unrestricted production database tier.