Only 9% of developers think AI code can be used without human oversight, BairesDev survey reveals
Senior software developers are preparing for a major shift in how they work as artificial intelligence becomes central to their workflows, according to BairesDev’s latest Dev Barometer report published today. VentureBeat was given an exclusive early look and the findings below come directly from that report. The quarterly global survey, which polled 501 developers and […]
Meta returns to open source AI with Omnilingual ASR models that can transcribe 1,600+ languages natively
Meta has just released a new multilingual automatic speech recognition (ASR) system supporting 1,600+ languages — dwarfing OpenAI’s open source Whisper model, which supports just 99. Is architecture also allows developers to extend that support to thousands more. Through a feature called zero-shot in-context learning, users can provide a few paired examples of audio and […]
Chronosphere takes on Datadog with AI that explains itself, not just outages
Chronosphere, a New York-based observability startup valued at $1.6 billion, announced Monday it will launch AI-Guided Troubleshooting capabilities designed to help engineers diagnose and fix production software failures — a problem that has intensified as artificial intelligence tools accelerate code creation while making systems harder to debug. The new features combine AI-driven analysis with what […]
How context engineering can save your company from AI vibe code overload: lessons from Qodo and Monday.com
As cloud project tracking software monday.com’s engineering organization scaled past 500 developers, the team began to feel the strain of its own success. Product lines were multiplying, microservices proliferating, and code was flowing faster than human reviewers could keep up. The company needed a way to review thousands of pull requests each month without drowning […]
Baseten takes on hyperscalers with new AI training platform that lets you own your model weights
Baseten, the AI infrastructure company recently valued at $2.15 billion, is making its most significant product pivot yet: a full-scale push into model training that could reshape how enterprises wean themselves off dependence on OpenAI and other closed-source AI providers. The San Francisco-based company announced Thursday the general availability of Baseten Training, an infrastructure platform […]
Celosphere 2025: Where enterprise AI moved from experiment to execution
Presented by Celonis After a year of boardroom declarations about “AI transformation,” this was the week where enterprise leaders came together to talk about what actually works. Speaking from the stage at Celosphere in Munich, Celonis co-founder and co-CEO Alexander Rinke set the tone early in his keynote: “Only 11 % of companies are seeing […]
6 proven lessons from the AI projects that broke before they scaled
Companies hate to admit it, but the road to production-level AI deployment is littered with proof of concepts (PoCs) that go nowhere, or failed projects that never deliver on their goals. In certain domains, there’s little tolerance for iteration, especially in something like life sciences, when the AI application is facilitating new treatments to markets […]
What could possibly go wrong if an enterprise replaces all its engineers with AI?
AI coding, vibe coding and agentic swarm have made a dramatic and astonishing recent market entrance, with the AI Code Tools market valued at $4.8 billion and expected to grow at a 23% annual rate. Enterprises are grappling with AI coding agents and what do about expensive human coders. They don’t lack for advice. OpenAI’s […]
Terminal-Bench 2.0 launches alongside Harbor, a new framework for testing agents in containers
The developers of Terminal-Bench, a benchmark suite for evaluating the performance of autonomous AI agents on real-world terminal-based tasks, have released version 2.0 alongside Harbor, a new framework for testing, improving and optimizing AI agents in containerized environments. The dual release aims to address long-standing pain points in testing and optimizing AI agents, particularly those […]
Ship fast, optimize later: top AI engineers don’t care about cost — they’re prioritizing deployment
Across industries, rising compute expenses are often cited as a barrier to AI adoption — but leading companies are finding that cost is no longer the real constraint. The tougher challenges (and the ones top of mind for many tech leaders)? Latency, flexibility and capacity. At Wonder, for instance, AI adds a mere few cents […]