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7 Python mistakes that make your code slow (and the fixes that matter)
Python is a language that seems easy to do, especially for prototyping, but make sure not to make these common mistakes when ...
On February 20, 2026, AI company Anthropic released a new code security tool called Claude Code Security. This release ...
The Conductor extension now can generate post-implementation code quality and compliance reports based on developer specifications.
An AI agent got nasty after its pull request got rejected. Can open-source development survive autonomous bot contributors?
Figure unveils Helix 02, the AI powering its most advanced humanoid robot yet, capable of completing complex, full-body tasks ...
No code, no problem ...
Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...
Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks for developers.
Mercury 2 introduces diffusion LLMs to text, delivering 10x faster speeds for AI agents and production workflows without sacrificing reasoning power.
Designing and deploying DSPs FPGAs aren’t the only programmable hardware option, or the only option challenged by AI. While AI makes it easier to design DSPs, there are rising complexities due to the ...
Its use results in faster development, cleaner testbenches, and a modern software-oriented approach to validating FPGA and ASIC designs without replacing your existing simulator.
There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.
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