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.
Observability’s Gaslighting Problem: “Send Less Data” Isn’t a Strategy
A familiar pattern is emerging in observability conversations. As telemetry volumes grow and costs rise, the default recommendation is often to collect less data: Sample more, retain less, index selectively, filter earlier, and reduce cardinality until the economics become manageable. Some of this is reasonable. No system benefits from unlimited accumulation without curation. But when […]
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 Missing Runtime for Long-Running AI Agents
Enterprise AI agents need more than stronger models. They need durable execution environments that can coordinate multi-step workflows, survive failures, pause for human review and resume reliably after disconnects or delays. AI Agents Have Moved Beyond Chat Demos AI agents work beautifully in demos. A user asks a question, a large language model generates a […]
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 […]
Claude Code’s Temporary Usage Boost Expires Tonight. Here’s What Actually Changes
Anthropic’s temporary 50% increase to Claude Code weekly usage limits expires August 19, reducing available capacity for developers and DevOps teams without lowering subscription prices.
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 […]
GitHub Copilot’s Latest Update Bets on Model Choice, Not Model Loyalty
GitHub’s latest Copilot updates add Kimi K3, MAI-Code-1.1-Flash, Agent Plugins 1.0, model switching, CLI improvements, and local Ollama support.
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 […]
Developer Resistance to AI Isn’t Fear – It is Identity
Developer resistance to AI is less about job loss than a deeper shift from hands-on coding to supervising, validating and orchestrating AI-generated work.
Where Agents Belong in Enterprise Testing: What I Took Away from UiPath Test Cloud
Introduction During a recent UiPath Test Cloud showcase with Tech Field Day, I had a chance to look past the usual “AI can automate testing” message and think about how agents might fit into a real enterprise delivery process. As a Cloud Solutions Architect with a DevOps mindset, I tend to look beyond whether a […]
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 […]
Why Reliability Guardrails Are Needed in Every AI Coding Pipeline
We’re in the middle of a reliability reckoning. Thanks to AI, companies are shipping code much faster than before. But if there’s anything to learn from the surge in high-profile outages over the last couple of years, it’s that with more code comes more reliability risks. And when those risks do lead to an outage, […]
From API Integration to Agent Governance: What Backend Teams Need to Know About MCP
Many MCP projects begin with an existing API and a simple request: expose one backend capability to an LLM client. The quickest route is to wrap an endpoint as a tool and connect it to Claude or another MCP host. Users can then ask for data in natural language instead of navigating a fixed interface. […]
Microsoft Confirms Copilot ‘Super App’ Is Coming This Year — and It’s About More Than Convenience
Microsoft is combining Copilot Chat, Code, Cowork and Autopilots into one super app, raising new questions about agent governance, identity, licensing and security.
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.