Piling on guardrails is the sign of a system permanently compensating for its own unreliability. There’s a better approach.

Writing code that interacts with LLM services requires bridging two different worlds. Use these tips and techniques to bind the AI model to the logic of your app.

Open-source security is a mess - IBM and Red Hat bet $5 billion and 20,000 engineers can fix it ...

At the DASH conference, Datadog presents new features for autonomous IT operations and AI security with Bits AI SRE, AI Guard ...

Miasma hit 73 Microsoft repos across four GitHub orgs, forcing access disablement and exposing open-source trust risks.

Python stays far ahead after another dip; C holds second, Java retakes third from C++, and R rises to eighth as SQL slips, ...

DeepSWE puts GPT-5.5 atop the AI coding leaderboard while raising new questions about Claude Opus, SWE-Bench Pro, and ...

Google AI Studio lets users test Gemini models, build apps, generate media, and export code. Here’s what it does, costs, and ...

Take full responsibility for the delivery of frontend features. Ensure solutions are: Scalable, Maintainable, Production-ready. Own: Code quality, Testing completeness, Deployment readiness. Act as a ...

OpenAI’s GPT-5.5 has emerged as the top-performing AI coding model on DeepSWE, a new long-horizon software engineering benchmark designed to test whether frontier AI agents can ...