Six AI coding assistants tested: GitHub Copilot, Claude Code, Cursor, Windsurf, Kiro, and Gemini CLI. Through hands-on testing with Rust and React projects, I discovered each tool’s strengths and surprising limitations. Learn which AI coding agent matches your development workflow.
Discover how architectural choices can be a defense in securing agentic AI systems. This comprehensive guide explores OWASP’s latest “Securing Agentic Applications” paper, covering everything from Sequential and Hierarchical architectures to the 15 critical threat categories facing autonomous AI applications. Learn practical implementation strategies, universal security principles, and how to build trust into your agentic AI systems from the ground up.
Dive into the discussion around integrating Kafka consumers within the Backend for Frontend (BFF) pattern. Learn when it’s a powerful tool for real-time UI updates and data projections, and critically, when business logic should remain separate for architectural health and scalability.
Introducing “flow coding”—a new multi-agent development approach where you orchestrate AI agents to collaborate on software projects. Unlike vibe coding’s human-AI partnership, flow coding enables AI-to-AI collaboration while you guide the creative process from above.
Hands-on review of Google’s new Gemini CLI. Covers sandbox mode, auto-code generation and configuration options.
I built a Python solution in January for AI-powered supplier due diligence that required Jupyter notebooks and custom code. Now I’ve discovered something game-changing: modern AI systems like like Claude, ChatGPT, and Perplexity can handle complex tech assessments through simple prompts with zero technical setup. This post reveals the comprehensive prompt framework that delivers professional due diligence results without any coding, making AI-powered supplier assessments accessible to any CISO team.
Want to run AI models locally on Linux? This guide walks you through setting up the llm CLI and Ollama to power your own private AI environment—no Apple Silicon required. Learn how to install tools, pull models, and start chatting with AI directly from your terminal using open and efficient Linux-native solutions.
Claude 4’s release brings significant improvements to AI-assisted coding that matter for security-conscious engineers. The coding platform Lovable reports a 25% reduction in syntax errors and 40% speed improvement in production environments.
While this doesn’t directly address semantic security issues like dependency confusion attacks, fewer syntax errors allow security reviewers to focus on logic and security issues rather than basic correctness, creating opportunities for more targeted security review.
OpenAI Codex is a new cloud-based software engineering agent from OpenAI that includes an open source reference base docker file.
no time, jump straight to how to Protecting yourself in the age of vibecoding and Secure AI-assisted development Artificial intelligence has revolutionized software development, with […]
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