
How to Build a Reliable Research Agent Using Gemini 2.5 Pro Function Calling
Learn how to build a reliable research agent with Gemini 2.5 Pro function calling, including practical patterns for structured tool use and dependable output.

Learn how to build a reliable research agent with Gemini 2.5 Pro function calling, including practical patterns for structured tool use and dependable output.

An evaluation of Claude 5 and DeepSeek-R1 on code generation tasks where specifications are intentionally incomplete or contradictory.

A third-party AI tool compromise led to unauthorized access to a Vercel employee account and exposure of non-sensitive environment variables, prompting credential rotation and security hardening guidance.

An exploration of the tradeoffs that arise when AI systems prioritize faster output over deeper reasoning and understanding.

Learn how AI-powered log analysis transforms overwhelming log data into actionable insights for faster troubleshooting, anomaly detection, and smarter monitoring.

A practical look at how AI can streamline daily code reviews by speeding up feedback, improving consistency, and reducing manual effort.

Learn how to red team an AI coding assistant to uncover weak prompts, improve reliability, and strengthen prompt design.

A practical guide to building a secure golden path for AI-assisted development that balances developer productivity, governance, and risk control.

Learn how to integrate security scanners into an AI-assisted coding workflow to catch vulnerabilities early and improve software safety.

Learn how to craft safer AI code requests that reduce security risks and improve the quality of generated software.

A practical look at Model Context Protocol risks, tool descriptions, token exposure, and how JavaScript can help inspect agent tool boundaries.