It was on a very silly project, but with even Linux's creator now using AI, the debate over code quality, maintainability, and developer skills is likely to intensify.
For software developers, choosing which technologies and skills to master next has never been more difficult. Experts offer ...
The convergence of artificial intelligence, cloud-native architecture, and data engineering has redefined how enterprises ...
Overview Rapid innovation is reshaping the IT landscape - compelling professionals to learn high‑demand skills in cloud computing, AI, cybersecurity, and data s ...
Enterprise AI adoption surged in 2025, but scaling still lags. Explore 7 key enterprise AI adoption trends shaping 2026.
Continuous tech-debt monitoring & governance Tech debt removal is typically reactive and ad-hoc exercise. AI can help run periodic scans, update debt scores, and feed insights into tech governance ...
Rust-based inference engines and local runtimes have appeared with the shared goal: running models faster, safer and closer ...
Discover the leading code analysis tools for DevOps teams in 2025. Enhance your software development process with automated security and quality checks to mitigate risks and improve code health.
Deep Learning with Yacine on MSN
How to implement stochastic gradient descent with momentum in Python
Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.
Deep Learning with Yacine on MSN
Nesterov accelerated gradient (NAG) from scratch in Python – step-by-step tutorial
Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for ...
In this article author Sachin Joglekar discusses the transformation of CLI terminals becoming agentic where developers can state goals while the AI agents plan, call tools, iterate, ask for approval ...
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