Python gives you far more control, and the ecosystem is stacked with libraries that can replace most no-code platforms if you ...

Overview Python projects in 2026 emphasize hands-on learning through real-world use cases rather than purely academic examples.Beginner projects focus on logic ...

The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...

This article will examine the practical pitfalls and limitations observed when engineers use modern coding agents for real enterprise work, addressing the more complex issues around integration, ...

The CodeRabbit report found that AI-generated code falls short of meatbag-made code across the major issue categories. The ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Citing issues with logic, correctness, and security, a new report recommends specific guardrails for AI-generated code.

The Hindu’s Data Team recently published an article detailing discrepancies in voter deletions across polling booths in Tamil ...

Overview: The lesser-known Python libraries, such as Rich, Typer, and Polars, solve practical problems like speed, clarity, ...

Developers are leaning more heavily on AI for code generation, but in 2026, the development pipeline and security need to be ...

Meta’s most popular LLM series is Llama. Llama stands for Large Language Model Meta AI. They are open-source models. Llama 3 was trained with fifteen trillion tokens. It has a context window size of ...