Meet Mana Jampala: 12-year-old who built an AI-powered receptionist to help businesses avoid missing calls and clients, learnt Python at 9 and won competitions …

Nvidia CEO Jensen Huang famously predicted that artificial intelligence would generate historic levels of wealth, creating ...

Avoid AI atrophy – new tool promises to reverse vibe coding skills decay

Want big muscles? Keep working out. Want big coding skillsets? Flex your dev skills with the Atrophy CLI app before they ...
Analytics Insight

Data Engineer vs Software Engineer: Which Career Path Should You Choose in 2026?

Overview:Compare responsibilities, technical skills, and career opportunities across Data Engineering and Software ...
The Manila Times

TakeProfit Integrates Native AI Into Its Indie Code Editor for Indicator Developers

The AI-assisted editor now works alongside the platform's MCP server and interactive documentation, giving developers plain-language code generation, debugging, and reference lookup across a single ...

In Test: Elixir's 1.20 New Intelligent Type System

Report do def user_age_to_string(user) do Integer.to_string(user.age) end end # An anderer Stelle im Projekt: Report.user_age_to_string(%{age: "42"}) Integer.to_string/1 is Elixir's usual notation for ...

Boffin claims Microsoft's supposed quantum leap does not compute due to 'basic Python errors'

Prestigious journal Nature has published a peer-reviewed critique of Microsoft's claims to have made quantum computing ...

How a python can eat its prey, like a whole deer, is jaw-dropping

Eating its prey can be a process for a python, which is why it relies so heavily on its jaw to get the job done, including ...
CSOonline

As AI speeds coding, CVE Lite CLI keeps security deliberately AI-free

The OWASP-backed tool scans JavaScript and TypeScript lockfiles locally, aiming to help developers catch and remediate dependency risks before CI failures. As AI coding assistants accelerate software ...
CIO

AI is ready to take over Python programming, but not much else

Tests of how well 19 large language models (LLMs) complete and perform complicated multi-step tasks has shown that they are both error-prone and, in many cases, unreliable. They said that the ...