Tag: agentic AI
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 ...
How to Build a Durable Change-Control Gate for AI Agents
Daniel Martin | | agentic AI, AI agents, AI automation, AI Governance, AI safety, approval workflows, change control, devops, durable workflows, human-in-the-loop, idempotency, LangGraph, NIST AI RMF, policy enforcement, production deployment, release controls, tool-using agents, workflow governanceAI 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 ...
Preparing Infrastructure for the Next Phase of Agentic AI
Gretchen Stewart | | agent orchestration, agentic AI, AI agents, AI data architecture, AI infrastructure, AI modernization, AI observability, AI resource management, AI workflows, AI workload management, autonomous agents, cloud infrastructure, data movement, federal agencies, government AI, government IT, human-in-the-loop, hybrid infrastructure, infrastructure modernization, multi-agent systems, on-premises AI, public sector AIAgentic 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 ...
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 ...
Are LLMs Equally Good (or Bad) at Building Secure Software?
Pieter Danhieux | | agentic AI, AI agents, AI code security, AI coding assistants, AI coding costs, AI coding models, AI Development, AI model benchmarking, AI-generated code, application security, Developer Security, framework security, LLM security, OWASP Top 10, SAST, secure code generation, secure coding, software development, software security, token costsAn 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
Mark Fussell | | agent identity, agent observability, agent runtime, agentic AI, agentic durable execution, AI agents, AI architecture, AI Governance, AI infrastructure, AI security, autonomous agents, cloud-native AI, distributed systems, durable execution, LLM observability, microservices, Open Standards, platform engineering, vendor lock-in, workflow orchestrationAI 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 ...
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 ...
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 ...
JetBrains Open-Sources KotlinLLM, a Research Prototype for Runtime Code Generation
Tom Smith | | agentic AI, AI coding tools, Apache License 2.0, asLlm, generative AI, IntelliJ IDEA plugin, JetBrains Research, Kotlin, Kotlin/JVM, KotlinLLM, LLM-generated code, mockLlm, persistent code generation, reviewable AI code, runtime code generation, Smart macros, software development, statically typed programmingJetBrains open-sources KotlinLLM, letting compiled Kotlin apps generate and persist LLM-written code at runtime instead of calling a model live ...
