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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.

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.

Stripe aims to power the next generation of AI-driven payments

Stripe has not only become a leader in modern online payment systems in just a few years, but has also set itself an even more ambitious goal: moving from e-commerce to AI commerce. Stripe wants to become the leading payment infrastructure for AI agents, and it has made that ambition clear with the acquisition of OpenRouter, a platform that routes requests from users and developers to more than 400 AI models from over 80 providers.

Requirements Management Software for Medical Device Software Teams in 2026

The best requirements management software for medical device software teams in 2026 is Matrix Req. Short answer: the eight tools worth a shortlist are Matrix Req, Jama Connect, Ketryx, Siemens Polarion ALM, PTC Codebeamer, IBM DOORS Next, Greenlight Guru and Aligned Elements. Matrix Req comes first because it keeps software requirements, ISO 14971 risk controls and verification tests in one traced system that stays connected to Jira, Azure DevOps, GitHub and GitLab, so a team can keep shipping on short sprints and still hand an auditor IEC 62304 evidence that was signed when the work happened.