Tag: AI agents

Anaconda Acquires Kilo Code to Unify AI Development from First Prompt to Production
Anaconda Inc. has acquired Kilo Code, an open-source, model-agnostic platform that embeds artificial intelligence (AI) agents directly into developer workflows. The acquisition integrates Kilo’s rapid-growth community of over three million developers into ...

Former GitHub CEO Unveils Distributed Git Network Built for AI Coding Agents
As AI coding agents become a larger part of software development, a new startup founded by former GitHub CEO Thomas Dohmke is introducing infrastructure built to address the growing pressure on centralized ...

When AI Agents Get Production Access: The Next Big DevOps Risk
It wasn’t that long ago that AI assistants just watched from the sidelines. They could answer your questions, explain how things worked, sum up logs, and write deployment scripts. Handy, sure, but ...

Reliability Comes From the System, Not the Agent
One of the most common questions executives ask right now sounds straightforward: is the agent reliable enough yet? It feels like the right place to start, but the framing quietly points people ...

The DevOps Practice Most Teams Skip When Adopting AI Agents
Code generation got fast. The competitive advantage is now in the Second and Third Ways. If you don't have instruction files in your repo, start there. If you do, monitor how often ...

GitHub Removes PAT Requirement for Agentic Workflows
GitHub Agentic Workflows can now use GitHub Actions' built-in GITHUB_TOKEN instead of a personal access token (PAT). That means developers no longer need to create, store, or rotate a PAT to run ...

GitLab Previews Revamped DevOps Platform for the Agentic AI Era
At Transcend 2026, GitLab launched updates to optimize its DevOps platform for AI-generated code, featuring Next Gen Source Code Management, GitLab Orbit, and an AI Governance framework ...

GitHub Copilot Gets Its Own App — and Agents Are the Reason Why
GitHub debuts the Copilot app at Microsoft Build 2026 — an agent-native desktop experience for managing parallel AI agents, canvases, sandboxes, and code review ...

Why Your AI Agent is a Black Box and How to fix it With OpenTelemetryÂ
You built the agent. It works in testing. Then it hits production and starts giving wrong answers, timing out or burning through your token budget, and you have no idea why. This is ...

AI Agents in CI/CD Pipelines: Speed vs Control in Modern DevOps
The moment you push your code, deployment fires off on its own. The pipeline kicks in, the tests sail through, and within a few minutes your app is live in production. There ...

The Automation Layer Wants to Own Enterprise AI
Organizations want AI systems capable of prioritizing alerts, routing workflows, coordinating across applications, initiating remediation steps, summarizing operational data and adapting dynamically based on changing context. The system is no longer following ...

GitLab Act 2: Still an Open Book
An analysis of GitLab’s "Act 2" transition under CEO Bill Staples, examining whether the company can successfully pivot to an AI-native, agentic software delivery model while dismantling the radically transparent, remote-first culture ...

