Erik Steiger discusses the operational pain of legacy PDF generation in regulated banking and manufacturing. He explains how ...

An agentic coding tool tasked with cloning and setting up a seemingly benign GitHub repository could execute a malicious ...

KATHMANDU: A fast-growing software approach known as vibe coding, where artificial intelligence is used to generate ...

While AI accelerates code generation, it shifts a heavy cognitive burden toward code review, verification, and technical ...

DeepReinforce today released Ornith-1.0, a family of open-source coding models built around a mechanism most RL-trained agents avoid: the model itself writes the training harness that guides its own ...

The most efficient software no longer carries screens for people — it carries atomic commands that AI agents run while ...

Harness engineering is hot. This new field involves devising AI infrastructure and scaffolding. It is a necessity. An AI ...

As Jensen Huang addresses a packed hall at VivaTech 2026 in Paris today with physical AI as his central theme, the NVIDIA research lab behind his bolder claims just published the most concrete ...

Agentic AI is now a core part of the engineering process, driving massive execution leverage and helping us generate more code than ever before. Yet, a difficult question I’ve increasingly heard from ...

A wave of recent product updates suggests the competition among AI coding tools is moving beyond autocomplete and chat toward long-running agents that can understand projects, invoke tools, and carry ...

If you truly want to avoid drowning in ‘AI slop,’ you need experienced engineers who can supervise the observability, testing, and review of all that AI-generated code. The backlash was inevitable.

Automated software engineering encompasses the use of tools, methods and models to automate or assist in the full spectrum of software development activities, from requirements capture to deployment ...