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Showing 201–220 of 260 dossiers
The May Antigravity agent ID is retired. Managed Agents now require the September preview ID and default to Gemini 3.8 Flash, alongside hooks, token budgets and scheduled sandboxes.
Training experiments and batch inference can use Together AI's discounted preemptible GPUs in existing clusters. Workloads must checkpoint or requeue on interruption, and at least one standard node is required.
Large forums and social platforms can apply to push trending public posts and interaction counts to Google via OAuth and JSON-LD. Stable public URLs, attribution, moderation and fast updates are required; indexing and ranking are not guaranteed.
Preact's long-awaited major release brings concrete rendering changes and a packaging break. Most modern projects should migrate easily, but old import paths and CommonJS tooling need attention.
GitHub has moved local Copilot sandboxes from preview to GA. Enterprises can now combine centrally managed approval policies with operating-system-enforced limits on what coding agents can actually reach.
Stacked pull requests are now generally available on GitHub. The shift matters as coding agents make large changes faster than humans can safely review them: teams can keep one coherent change dependency-ordered while reviewing it as smaller PRs.
The release is more than routine maintenance. OpenSSH is changing cryptographic defaults, sacrificing some compression effectiveness for side-channel safety, and warning that AI-assisted security reports are pushing it toward a faster release cadence.
The migration is now much safer for background-only and bulk-installed apps: a timed-out direct conversion no longer automatically strands the store. The retry window is bounded and can end earlier after the issued pair is refreshed or another token acquisition supersedes it.
Stripe is seeing more new SaaS-style platform businesses, not fewer: new platform launches rose more than 180% year over year, and recent cohorts are reaching meaningful payment volume faster. The dataset is vendor-produced, but unusually concrete.
AMD is not just buying another AI software company. It is buying a frontier model lab so the workloads behind spatial intelligence, robotics and simulation can help shape the compute stack AMD builds next.
Tailcat remains useful as a small encrypted peer-connectivity primitive, but its first documented malware adoption changes the operational context: Kothamine can use Tailcat to avoid a conventional command-and-control domain that defenders would otherwise block.
Docker’s new agent stack combines pay-as-you-go microVM sandboxes with an OCI-based Kit format for declaring what an agent can use. Cloud sessions cost from $0.07 to $1.12 an hour, and Docker says it plans to take the Kit specification toward CNCF neutral governance.
The important change is not simply that Claude can run several agents. Projects now owns decomposition, shared context, branch isolation and progress coordination across full Claude Code sessions, while the trade-offs become usage burn, cloud-only execution and ordinary merge conflicts when parallel work overlaps.
The useful part is not the 800,000-line headline. GitHub has published unusually detailed receipts for a production-scale agent-assisted migration: roughly $120,000 of token spend, 14.5 weeks of incremental releases, dozens of regressions, extensive compatibility tests and a workload-specific jump from 7.55 to 120 session lifecycles per second.
Jev’s launch claims were interesting; Vercel’s usage data is more useful. Nearly 13% of paid AI Gateway teams tried the typed decision model in its first day, while Jev also rose to a material share of gateway requests. That does not establish retention or production success, but it is unusually fast developer uptake for a model designed to make bounded software decisions rather than generate prose.
Click2Shell turns a theme-preview parsing bug into a supply-path problem: an attacker can force official catalog code onto a site without the administrator choosing Install, then potentially reach executable pre-activation theme code.
The change separates three things that are often bundled together: the harness, the subscription that pays for it, and the sandbox that executes it. Builders can switch among supported coding agents behind one interface while reusing existing subscription access and reducing credential exposure inside agent runtimes.
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.
The post-release evidence sharpens the original story. Qwen3.8-27B can retain useful agentic-coding performance at practical 4-bit sizes, but local model quality is not a property of the checkpoint alone: quantization, reasoning effort, context handling and the agent harness can materially change the result.
The material issue is not ordinary model distillation. Anthropic’s evidence suggests a customer-facing AI product may have used a rival model as an undisclosed backend while simultaneously harvesting those interactions for training, turning routing architecture into a privacy and trust boundary.