Find published research by company, product, platform or technology.
Showing 1–20 of 444 dossiers
Private ingress joins existing private egress for Scaleway Serverless Containers. The new option can isolate services inside a VPC, but private DNS, TLS, authentication, cold-start and network-scope constraints still matter.
CS-4 combines three WSE-3 Turbo wafers with Cerebras’ Nexus rack design. The practical shift is architectural: compute, power and I/O become modular, while Cerebras now says the same platform is intended to support CS-5 in 2027 and a 3D-memory CS-6 generation after that.
Herd Studio integrates existing CLI agents with local previews, isolated workspaces and optional database clones; Laravel Cloud deployment is built into Herd 2.
Omacom expands in-kind AI and compute patronage and reports nearly 1,500 Greptile-reviewed PRs. Pledges are not audited cash revenue.
The Cloudflare move is a hard migration deadline for Deno Deploy users and a major maintenance change for Deno runtime adopters. JSR will continue, and self-hosted distributed Workers are still a future plan.
The significance is not that Git is obsolete: Anthropic's unusually large agent workload prompted an internal architecture with sparse on-demand checkouts and server-side source-control APIs. Its claimed performance gains are not independently benchmarked.
MiMo-V2.6 is more useful than another benchmark launch because builders get both capable multimodal weights and a rare view into the reinforcement-learning machinery that produced them: code, environments, run costs and even failure notes from the training cluster.
This is a useful reminder that exploitation pressure does not scale neatly with plugin popularity: Wordfence says it has blocked more than 250,000 attempts against a plugin with a five-figure install base.
OpenShell 0.1.6 and 0.1.7 harden gateway access and adjust sandbox supervision, DNS checks and audit compatibility. Operators must configure auth and migrate OCSF consumers; these releases do not prove Sentry's hardware quarantine independently.
Google's agent-accessible data toolkit has moved beyond its August launch: GA expands support to Bigtable, BigQuery Graph and Spark, with IDE/CLI integration, IAM enforcement and no separate kit fee. Underlying Google Cloud usage still costs money.
The Agent Host’s environment boundary has moved from local Dev Containers to remote development hosts, making persistent coding-agent sessions more portable across real remote projects.
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 important shift is that agent orchestration itself becomes a managed API surface: context compaction, tool discovery, programmatic tool calls and subagent coordination can now come from OpenAI’s maintained Codex harness rather than an application team rebuilding those layers.
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.
Railway Cloud Agents are managed, persistent development machines rather than a new model or harness. They reuse developers’ existing agent credentials, sleep when disconnected by default, retain disk state, and live inside Railway project environments—blurring the boundary between remote coding workspace and deployment platform.
Agent Plugins 1.0 now has documented support across VS Code, Cursor, GitHub Copilot, ChatGPT/Codex, Kiro and several open-source agents. That makes the format materially more useful for cross-client distribution, but portable components remain limited to Agent Skills and MCP servers while permissions, hooks, commands and host UX stay client-specific.
The useful change is containment rather than another browser-agent feature. Teams can let an agent operate a real browser while constraining its HTTP and HTTPS reach to the site and dependencies the task actually needs, reducing the blast radius of prompt injection, bad tool decisions or untrusted page content.
TanStack AI core has moved beyond its 1.0 GA: 1.4 adds MCP request metadata, 1.3 distinguishes loop limits from normal completions and earlier updates improve cancellations and runtime reliability.
Devin Fusion's persistent lead/sidekick architecture now has newer model choices and independently reported cost/quality comparisons, changing its practical deployment economics.
GitHub Agentic Workflows 1.2.x previews durable handoffs, hardened egress and queue recovery after GA; teams must distinguish pre-releases from stable deployment guarantees.