The rise of AI-assisted software development has introduced a new bottleneck: code verification. While AI can generate code at unprecedented speeds, manually verifying that code for quality and ...

New AI-assisted development approach reduces costs and accelerates delivery timelines for modern JavaScript applications ...

New research from the University of Waterloo shows that artificial intelligence (AI) still struggles with some basic software development tasks, raising questions about how reliably AI systems ...

DNS flaw in Amazon Bedrock and critical AI vulnerabilities expose data and enable RCE, risking breaches and infrastructure ...

Artificial intelligence is rapidly reshaping the way software is built, but its impact is more nuanced than many ...

At QCon London 2026, Yinka Omole, Lead Software Engineer at Personio, presented a session exploring a recurring dilemma engineers face, whether to spend time mastering the newest technologies and ...

ClickFix campaigns spread MacSync macOS infostealer via malicious Terminal commands since Nov 2025, targeting AI tool users and developers.

With improved model capabilities, Anthropic Opus 4.6 is an example, the same wave is now hitting science itself. If code is no longer the bottleneck—if generating, testing, and iterating on ...

Resolving AI agent context limits is the next aim for engineering leaders trying to guarantee better software output.

When a worker thread completes a task, it doesn't return a sprawling transcript of every failed attempt; it returns a compressed summary of the successful tool calls and conclusions.

Researchers show AI can learn a rare programming language by correcting its own errors, improving its coding success from 39% to 96%.