AI coding adoption is exploding. But most engineering leaders are still measuring usage instead of outcomes. That creates a costly blind spot. There is a question that nobody in the AI industry wants you to ask. Not OpenAI. Not Anthropic. Not Google. Not the dozens of startups selling AI coding agents to your engineering team. […]<br /> This story continues at The Next Web [...]
When OpenAI went down in December, one of TrueFoundry’s customers faced a crisis that had nothing to do with chatbots or content generation. The company uses large language models to help refill pre [...]
In Q1 2026, VentureBeat's Pulse Research surfaced the “Governance Mirage”: the gap between the governance org charts enterprises had drawn and the control layers they had actually built. Fort [...]
The software industry is racing to write code with artificial intelligence. It is struggling, badly, to make sure that code holds up once it ships.A survey of 200 senior site-reliability and DevOps le [...]
There is a category of production incident that engineering teams are not tracking yet — because it doesn't fit any existing postmortem template. The agent initiated an action. The action was t [...]
AI coding agents are rapidly accelerating data engineering by generating transformations, pipelines, orchestration workflows, validation tests, and infrastructure configurations from prompts. However, [...]
A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using tools that would have required entire specialized teams just mont [...]
Zip, the AI procurement platform valued at $2.2 billion, announced two products on Monday that mark a turning point in its evolution from procurement software to autonomous AI platform: a suite of fiv [...]
Zencoder, the Silicon Valley startup that builds AI-powered coding agents, released a free desktop application on Monday that it says will fundamentally change how software engineers interact with art [...]