There’s a pattern I’ve watched repeat for two years. A team builds an agent, hits reliability problems, upgrades the model, The post The bottleneck for AI agents isn’t the model anymore. It’s the context layer. appeared first on The New Stack .
From AI workflows to battery life and security, here's what it's really like to live with Vertu's luxury foldable every day.
The Copilot usage metrics REST API now reports repository-level activity. Two new endpoints return a daily, per-repository breakdown of pull request activity for Copilot coding agent and Copilot code review.… The post Repository-level GitHub Copilot usage metrics generally available appeared first on The GitHub Blog .
The Copilot usage metrics API now reports the GitHub Copilot app usage in the enterprise and organization 1-day and 28-day reports. This gives enterprise and organization admins visibility into the… The post GitHub Copilot app now available in the usage metrics API appeared first on The GitHub Blog .
Copilot code review now utilizes a firewall, custom setup steps, and independent runner configurations. It now reads custom instructions from the head branch to allow for easy testing and validation… The post Copilot code review: Customization and configurability improvements appeared first on The GitHub Blog .
The bug report was received as a customer complaint. An AI agent responsible for managing vendor onboarding had sent a rejection email to a supplier the company had been trying to close for three months. Nobody had authorized it. Nobody had configured it to reject vendors in that category. The agent autonomously made the decision after analyzing a compliance document and cross-referencing it with an internal policy database.
Oracle Introduces AI-Native Builder Experience to Create and Run Agentic Applications in Oracle Fusion Applications WebWire
A conversion-rate alert fires 30 minutes after a pricing engine deploys updated discount rules. The analytics platform holds millions of The post Why every AI agent decision needs a receipt appeared first on The New Stack .
VS Code 1.129 Lets AI Agents Run in Their Own Process so that Multiple Windows Can Share One Session H2S Media
OpenAI debuts $230 Codex Micro keyboard for AI coding MSN
A copy-pasteable AGENTS.md section for database work: ephemeral Postgres via npx create-db, safe migrations, and JSON output for Claude Code, Cursor, and Codex.
Chinese AI lab Moonshot AI announced Kimi K3 this morning, describing it as their "most capable model to date, with 2.8 trillion parameters". It's currently available via their website and API, but an open weight release is promised "by July 27, 2026". Moonshot are calling this the first "open 3T-class model" (I guess they're rounding 2.8 trillion up to 3 trillion), taking the crown from DeepSeek's 1.6T v4 Pro . Their self-reported benchmarks have K3 mostly beating Claude Opus 4.8 max and GPT-5.
LM Studio Bionic: the AI agent for open models
Creator says he will "very loudly ignore" those arguing for a ban on AI tools.
Across 107 enterprises, AI agents are being given real access to systems and data while the controls meant to contain them lag behind. More than half have already had a confirmed agent security incident or a near-miss; only about a third give every agent its own scoped identity, and most agents still share credentials; and only three in ten isolate their highest-risk agents.
Microservices were designed around a simple contract: a known caller sends a predictable request, expects a typed response, and moves on. That contract held for years. Then AI agents arrived. An agent doesn't call your service once. It might call it three times in a single reasoning loop, fan out to five services simultaneously, retry on ambiguous output, or decide mid-flight that a different endpoint is more appropriate.
The Model Context Protocol (MCP) completely changed how we connect large language models to real-world data and tools. However, early versions of the protocol had a massive bottleneck for enterprise developers: they relied heavily on stateful, long-lived sessions. If you wanted to scale out your AI tools to handle thousands of concurrent agent workflows, you had to deal with sticky sessions, complex load balancing, and heavy memory overhead.
On Wednesday, GoDaddy launched its new developer platform, giving developers a way to manage domains without leaving their development environment. The post GoDaddy opened its registrar to AI agents. Then it had to build guardrails. appeared first on The New Stack .
A video analytics AI agent that can perceive, reason, and act based on massive amounts of video footage must be integrated with existing workflows and...
Learn what AI agents are, how they work, and what it takes to build and run them safely in production.
A three-person agency received a $14,000 AWS bill in one day after attackers extracted static access keys and burned Claude invocations on Bedrock. Combined with May's DN42 incident, where an autonomous agent provisioned $6,531 of oversized infrastructure in 24 hours, practitioners warn that cloud billing lags roughly a day behind agent-speed spend. By Steef-Jan Wiggers
Urban region profiling constitutes a core problem in urban computing, supporting applications such as population estimation, economic assessment, and environmental monitoring. Existing methods typically formulate this task as multimodal representation learning, fusing heterogeneous urban data, e.g., satellite imagery, points of interest, textual descriptions, and 3D building information, into latent embeddings for prediction.
Agent memory is a systems problem for long-horizon agents. Practical deployments require retention of task state across extended conversations, recovery of user-specific facts and preferences across sessions, and accumulation of procedural knowledge from prior outcomes.
The capability of a modern AI agent depends not only on its foundation model but also on its harness, which constructs prompts, manages state, invokes tools, and coordinates execution. As models, APIs, environments, and requirements evolve, the harness must be continually modified. Before such a change can be made, a developer or coding agent must identify all code locations that implement the target behavior.
OpenUSD is an open, extensible framework that provides a common scene description language for physical AI. It enables teams to bring CAD data, simulation...
OpenAI, which is in the middle of a legal battle with Apple over hardware trade theft allegations, just released a light-up keyboard designed to be paired with its agentic coding app.
Your Python agents can now pick up reusable bundles of domain expertise (instructions, reference material, and scripts that load only when a task calls for them) through a stable, production-ready API. Agent Skills for Python in Microsoft Agent Framework is stable and shipping: the core skills API has no experimental gate, so you can rely […] The post Agent Skills for Python Is Now Released appeared first on Microsoft Agent Framework .
Agentic coding tools are increasingly capable of generating and submitting pull requests (PRs) to software projects, introducing new forms of human-agent collaboration in software development. While prior studies have examined PR-level outcomes of agent-generated contributions, less is known about how agentic coding tools are adopted and managed at the project level.
OpenAI is finally releasing some hardware. No, it isn't the mysterious AI-powered device the company is developing with former Apple designer Jony Ive, a project already tangled up in a messy lawsuit. Instead, it's a product designed to be used with its coding platform, Codex. The device, a square-shaped block of buttons called Codex Micro, […]
Stripe introduces a benchmark suite to evaluate whether AI agents can build real-world Stripe integrations across backend, frontend, and browser-based checkout workflows. The study examines end-to-end software engineering capability, focusing on execution, testing, and validation gaps in agentic systems under production-like constraints. By Leela Kumili
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