Tag: AI agents
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 ...
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 ...
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 ...
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 ...
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 ...
Why You Need AI Agent Security Validation in Software Testing
Engineering teams have been racing for the last two years to deploy AI agents that can find bugs faster than any QA team ever could. Autonomous testing agents can crawl through codebases, ...
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 ...

