Codex Sandbox Escapes Show Why Agent Guardrails Can’t Live Inside the Agent
Two patched OpenAI Codex vulnerabilities, Heapjack and Overpatch, exposed how coding agents can escape sandboxes and reach developer systems without approval prompts.
Claude Code Adds AGENTS.md Fallback, Cutting Instruction File Sprawl
Claude Code now supports AGENTS.md, giving development teams a shared instruction format across multiple AI coding agents and reducing configuration drift.
Splunk Open Sources Token Meter Tool for Application Developers
Splunk’s open-source Token Meter gives developers real-time visibility into AI coding agent activity, token consumption and estimated costs across tools including Claude Code, Codex and Cursor.
Anthropic Adds a Coordinator to Claude Projects for Running AI Work in Parallel
Anthropic’s redesigned Claude Projects coordinates parallel Claude Code sessions, delegates work across branches and brings the results back through familiar pull-request review workflows.
The Three Tiers of Agentic Incident Response: When to Trust AI Autonomy
A three-tier model for agentic incident response balances AI automation with human oversight, matching autonomy to risk, reversibility, blast radius and diagnostic confidence.
Atlassian Aims to Fill Context and Governance Gap for AI Coding Agents
Atlassian today extended the capabilities of its portfolio to provide teams of artificial intelligence (AI) coding agents with the level of context needed to build and deploy applications in production environments at much higher levels of scale. Code Context, built on Atlassian’s Teamwork Graph, makes it possible for AI coding agents to generate more reliable […]
GitHub Workflows Strain Under AI Agent Development
Coder CEO Rob Whiteley joins Mike Vizard to explain why GitHub workflows, CI/CD pipelines and developer platforms are showing strain under agentic development — and what a policy-aware redesign of the DevOps stack should look like.
Apica Adds AI Agents and MCP Server to Platform for Managing Telemetry Data
Apica today added an artificial intelligence (AI) agent and Model Context Protocol (MCP) server to version 3.0 of its Ascent platform for managing telemetry data pipelines. Andi Mann, chief product and technology officer for Apica, said the AI agent, dubbed Venn, makes it possible for IT teams to use natural language rather than having to […]
GitHub’s New Copilot Feature Takes the Guesswork Out of Picking AI Models
GitHub’s Project HydraFusion brings multi-model orchestration to Copilot, automatically routing coding tasks across AI models to balance quality, cost and complexity.
Trusted Open Source Catalogs for AI and Developers
Leslie Pascual of ActiveState joins Alan Shimel to explain why trusted open source catalogs — not after-the-fact scanners — are becoming table stakes as AI agents pull components at machine speed.
Harness Unfurls Source Code Repository Alternative to GitHub
Harness today launched a code repository service that is specifically designed for DevOps teams that are relying on artificial intelligence (AI) agents to generate code. Martin Reynolds, Field CTO for Harness, said the Agent-Ready Harness Code Repository and AI Code Review service provides an alternative to existing GitHub source code repositories that were not designed […]
How to Build a Durable Change-Control Gate for AI Agents
AI agents that trigger real-world changes need more than confidence scores. A durable change-control gate should recheck policy, require approval for consequential actions, enforce idempotency and verify the result before retrying.
The AI Agent Race Is On. But Are We Watching the Right Race?
Claude Code, OpenAI Codex, GitHub Copilot, Cursor and a growing field of challengers are competing to define the future of software development. A new Techstrong special report examines who is ahead, how the race should be measured and what enterprises need to consider before placing their bets. Which AI coding agent is winning? It sounds […]
Preparing Infrastructure for the Next Phase of Agentic AI
Agentic AI is changing government infrastructure requirements, pushing agencies to rethink workflows, observability, data movement and resource prioritization before investing in new hardware.
AI Agents Are Writing Code Faster Than Anyone Can Review It. Tessl Is Betting On Standards To Close That Gap
Every team that has turned coding agents loose on real work has run into the same wall. The agents write fast. They write a lot. And somewhere between the tenth and twentieth pull request of the day, the humans responsible for reviewing that code start falling behind. That’s not a hypothetical. It’s the operating reality […]
Harness Adds AI Agents to Automate DevSecOps Workflows at Machine Speed
Harness today added multiple artificial intelligence (AI) agents and a virtual patching capability to its portfolio to automate DevSecOps workflows at a time when the number of vulnerabilities being discovered in code continues to exponentially increase. The AI agents include one that has been added to the static application security testing (SAST) tool that Harness […]
Are LLMs Equally Good (or Bad) at Building Secure Software?
An SCW study finds a large variance in how frontier and budget LLMs perform across different frameworks, and explains the striking cost variance.
What the Microservices Era Can Teach Us About AI
AI agents are not just microservices with LLMs attached. Their long-running, non-deterministic workflows demand durable execution, per-step identity, governance and observability.
Dynatrace Acquires Arize as AI Agents Deepen the Observability Challenge
Dynatrace announced Thursday it has agreed to acquire AI observability company Arize in a $915 million cash and stock transaction. Rick McConnell, CEO of Dynatrace, said the company expects demand for AI observability will keep growing as more AI systems move into production. He said acquiring Arize would speed up Dynatrace’s roadmap, expand its developer […]
Microsoft Decouples AI Agents From the VS Code Editor in Latest Release
Microsoft has shipped Visual Studio Code 1.133, and the headline change is architectural rather than cosmetic: AI agent sessions now run in a dedicated background process rather than within the editor’s extension host. The release, which rolled out August 12, moves agent execution into what Microsoft calls the Agent Host, a standalone process built on […]
Microsoft’s New Testing Agent Tackles the Trust Gap in AI-Generated Code
AI coding assistants write code fast. Whether that code can be trusted is a separate question, and it’s becoming a more urgent one. Surveys this year put average developer trust in AI-generated output at just above the midpoint of a five-point scale, and more than half of developers admit they ship AI code without testing […]
JetBrains Open-Sources KotlinLLM, a Research Prototype for Runtime Code Generation
JetBrains open-sources KotlinLLM, letting compiled Kotlin apps generate and persist LLM-written code at runtime instead of calling a model live.
Tricentis Acquires Tabnine to Gain Knowledge Graph for AI Testing Agents
Tricentis today revealed it is acquiring Tabnine to gain access to a knowledge graph that will be used to provide context to AI agents that have been trained to automate a range of testing tasks. Once the acquisition is complete, Tricentis plans to integrate the knowledge graph developed by Tabnine, dubbed the Enterprise Context Engine, […]