IBM's coding agent Bob is designed to write Java, leveraging the language's 30-year history as a stable foundation and a rich source of training data for AI, according to Markus Eisele on the Stack Ov…
PayPal CTO Srini Venkatesan discussed scaling money safely with AI at the Ai4 conference, highlighting the company's approach to integrating AI while maintaining security and trust in financial transa…
Anaconda's VP of Engineering for AI Products, Greg Jennings, discussed building a secure-by-default AI coding agent, emphasizing that prompts should not be treated as strict security guardrails and hi…
Stack Overflow released Stack Internal 2026.6, adding centralized admin security with header-enforced API keys, session inactivity controls, and daily rate limits up to 10,000 requests per app, plus a…
Andi Gutmans, Head of Agentic Data Cloud at Google, said on the Stack Overflow podcast that models are often not the bottleneck for running dozens or hundreds of AI agents, and that the key challenge …
Leonardo de Moura, creator of the Lean proof assistant, discussed how Lean's formal verification can help ensure AI correctness by keeping AI systems mathematically precise. The interview highlights L…
LinkedIn's principal AI researcher Praveen Bodigutla said the company built a cognitive memory agent to provide agentic personalization for its hiring assistant, moving off GraphRAG in favor of a tree…
Stack Overflow reports that 84% of developers use or plan to use AI tools, yet more distrust AI accuracy than trust it, and the leading frustration is outputs that look almost right but require extra …
O'Reilly Media's blog argues that detailed specifications remain essential for agentic software development, despite the appeal of minimal prompts, because underspecified goals shift costly correction…
WordPress VIP CTO Brian Alvey said AI agents are reshaping the web's business models, urging sites to abandon CAPTCHAs and rely on structured content to thrive in a bot-driven future.…
Microsoft's productivity research projects that by 2030, AI will automate 80% of routine administrative tasks, and technical project management is shifting from manual coordination to strategic, AI-au…
Quantum-Augmented Applications integrate Quantum Processing Units (QPUs) as targeted coprocessors within classical software pipelines to solve NP-hard subroutine bottlenecks, rather than replacing cla…
Suneet Malhotra has published a five-agent software development lifecycle (SDLC) framework that applies a QA engineering mindset to agentic workflows, with companion code available on his GitHub. The …
Motorola Solutions Senior Manager of Test Engineering Suneet Malhotra discussed building end-to-end agentic software development lifecycle (SDLC) pipelines using Model Context Protocols (MCPs), evalua…
AI context architecture is the design of how information is structured and delivered to AI agents, distinct from context infrastructure (storage and delivery) and context engineering (implementation),…
Adobe Brand Visibility, a GEO software born from Semrush's AI visibility product and Adobe's LLM Optimizer, was launched after Adobe acquired Semrush and used a three-day internal hackathon instead of…
Coder's Rob Whiteley told Ryan that 'tokenmaxxing' is not delivering real value and is triggering Goodhart's Law, where metrics become targets and lose their meaning. Whiteley discussed how release sp…
McLaren Stanley, Senior Principal Engineer for Amazon Stores, said that becoming 'AI native' requires robust validation to enable 'fearless commits,' as agentic engineering shifts code bottlenecks dow…
According to Vivek Raghunathan, SVP of engineering at Snowflake, roughly 5% of an engineering org are 'explorers' who push AI tools further, while the other 95% are 'exploiters' who prefer a paved pat…
WPEngine CTO Ramadass Prabakar discussed the evolution of the internet to serve both human and agentic experiences from the same interface, and the need to differentiate and protect human actions onli…