Sidekick v1.1 introduces a set of powerful enhancements designed to streamline shared task ownership, deepen contextual understanding of models, and improve participation across distributed teams.

AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.

What global companies look for in engineering teams, and how SA fits the modelIssued by KRSCape Town, 11 Feb 2026 KRS interns 2026. As global software development moves beyond one-location delivery ...

Open source is crucial for the longevity and security of software systems. The future of popular databases is firmly rooted in open source. Open source is indispensable for infrastructure software ...

In 2025, “vibe coding” dominated the AI landscape, a viral trend characterized by humans prompting AI to write code. It was popularized by OpenAI cofounder Andrej Karpathy who took to ...

The Department of Energy (DOE) has released specifications for 26 artificial intelligence (AI) challenges under its Genesis Mission that could reshape how ...

Explore the urgent need to transform India's engineering education to meet evolving demands in the AI-driven job market.

The real AI edge isn’t the model — it’s how well it understands your business, fits into daily work and runs on your unique ...

Cadence has now launched the ChipStack AI Super Agent, the world’s first agentic workflow for automating chip design and ...

The New York bank's technology leaders have been working to reengineer back-office work and give some of it to Anthropic's Claude generative AI model.

Next-generation super soldier technologies combine advanced equipment, software, and biotechnology to enhance a soldier’s ...

The small and complicated features of TSVs give rise to different defect types. Defects can form during any of the TSV ...