Make AI Coding Measurable
Thousands of agent sessions last month. But what did they actually ship? Vendor consoles show you tokens, Coralogix shows you impact, repo by repo, session by session. No vendor lock-in, no data limits.
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Watch an AI Agent Fix a Failed CI Build | Harness Worker Agents
What happens when an AI agent can do more than suggest a fix — and actually take action inside your CI pipeline? See Harness Worker Agents in action as an AI agent identifies a failed CI build, determines what went wrong, creates the fix, and gets the pipeline moving toward production again. Worker Agents bring AI-powered reasoning directly into your software delivery pipelines while maintaining the controls enterprises need, including sandboxed execution, scoped credentials, policies, and RBAC.
The Next AI Breakthrough? Teaching AI to Shut Up and Decide
Jev is a new AI model from Type Safe built around a very different idea: instead of generating long answers, it makes fast, simple decisions. The team reportedly even demoed it playing Doom using nothing but split-second choices. After years of teaching AI models to talk, could the next breakthrough be teaching them to simply decide?
FastAPI 0.142 Turns On OpenTelemetry by Default. Here's What It Records.
FastAPI 0.142.0 ships with OpenTelemetry built in. Install fastapi, set one environment variable, and every request produces a trace, metrics, and error logs. No middleware, no instrumentation package, no code. That’s a big change for a framework most Python teams instrument by hand. It’s also easy to misread. The defaults record more than some teams expect in one place, and less than others assume in another. Here’s what you actually get.
How Agentic AI Could Change Global Network Deployment
From the Alibaba Cloud Apsara Conference stage, here's a look at how Agentic AI, APIs, and NaaS could simplify network deployment and automate routing decisions. At this year’s Alibaba Cloud Apsara Conference in China, I was honored to represent Megaport on stage to present our live demo session “Alibaba Cloud × Megaport: Making Agentic Networks Simpler”.
Judgment, not generation: rebuilding our AI API Classifier on Jev
Rebuild AI API classification with Jev to cut costs, reduce latency, improve calibration, and make production decisions more efficient without sacrificing accuracy. Replacing the judgment step in a production classification pipeline with a purpose-built decision model changes the economics of the problem entirely.
Deutsche Bank leads the way on secure adoption of AI enabled software delivery
As AI accelerates software development and expands its scale, Deutsche Bank is taking a leading role in ensuring the technology can be adopted safely, securely, and responsibly across regulated industries. As an investor, Deutsche Bank’s Corporate Venture Capital arm participated in Kosli’s Series A funding round, reinforcing the bank’s view that automated governance will be a key enabler of AI-assisted software delivery in regulated industries.
Stop running 10,000 tests on every AI code change
Small agent changes mean a small test scope. The agent knows exactly what it changed, so it can pull the 50 tests that matter out of a 10,000-test inventory and skip the rest. Arjun Iyer on why that's the validation model that scales.
10 Best AI Help Desk Software for 2026
Are your support teams spending too much time handling tickets and answering repetitive questions? As support requests increase, teams spend more time reading conversations, assigning tickets, finding relevant information, and preparing replies. These tasks can take attention away from complex issues that require human support. AI help desk software can help reduce this workload. It can answer common questions, summarize tickets, suggest replies, route requests, and assist with support tasks.
Get your agents off laptops and onto shared infrastructure
There's a specific, recognizable point where a team's use of AI agents changes shape. Not when they adopt agents; most teams already have. It's when agents stop running on someone's laptop and start running on infrastructure that the whole team can see. This is a real technical shift, not a policy change or a maturity score. Here's specifically what's different on each side of it.