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22 articles
Learn how to set up and use basic vulnerability scanning tools that work similarly to what Anthropic's Claude Mythos Preview employs. This tutorial teaches you to identify security issues in Python code using Bandit, Safety, and Flake8 tools.
AI coding skills are making it significantly easier to build and deploy robots, according to Wired AI. The OpenClaw platform exemplifies this trend by enabling users to create robotic agents with minimal hardware knowledge.
Google introduces Gemini 3.5 Flash at I/O 2026, a faster and more cost-effective model for AI agents and coding tasks.
Google's new Gemini 3.5 Flash AI model represents a major shift toward autonomous agents, capable of executing complex tasks and building software from scratch without continuous human input.
Learn how Google's Antigravity 2.0 is transforming how developers write code by using AI to automate tasks and make software development faster and more accessible.
Learn to build an autonomous coding system using LLMs, similar to Xiaomi's MiMo-V2.5-Pro, that can execute long-running tasks with minimal token consumption.
Learn how Mistral AI's new Remote Agents technology allows AI to work independently on coding tasks, making software development faster and more efficient.
Learn how Cursor's new TypeScript SDK enables developers to build AI-powered coding agents that can work together to write and debug code automatically.
Learn how OpenAI is merging its dedicated coding AI, Codex, into its main model, GPT-5.5, to make coding easier and more accessible for everyone.
Google reveals that 75 percent of its new code is now generated by AI, with human developers focusing on review and refinement. This shift marks a significant step in AI's integration into software development workflows.
OpenAI introduces GPT-5.5, its most efficient and coding-capable model yet, marking another step toward AI-driven productivity.
The practice of 'tokenmaxxing'—generating excessive AI code output—is harming developer productivity and increasing project costs. Experts warn that this approach leads to bloated codebases requiring extensive rewriting and refactoring.