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Building an AI Agent for Zed Editor Using Agent Client Protocol in 15 Lines
Discover how to build a local AI coding agent for Zed editor using Agent Client Protocol (ACP) in just 15 lines of Python code, plus integrate advanced models like Kimi K2.
Secure AI Conversation, Not Just the Data, with Fortinet
Discover Fortinet's multi-layered approach to securing AI conversations beyond traditional data protection, featuring threat intelligence integration and real-time vulnerability scanning.
Security Using AI with Fortinet
Discover Fortinet's layered AI security strategy covering threat protection, AI system security, and AI-assisted operations through FortiGate, FortiNDR, and FortiDLP solutions.
AI, IP, and Your Code - What Developers Need to Know
Understand the legal complexities of AI-generated code ownership, IP rights, and how AI companies use open-source code as training data in this essential developer guide.
Increasing Types in Large Codebases with Pyrefly and AI Tooling
Explore Meta's approach to scaling Python type annotations using Pyre, Pyrefly, and AI tools for massive codebases and improved developer experience.
Just Because AI Can Write Your Tests - Should It?
Explore when AI-generated tests fall short and discover how writing your own tests creates more robust, meaningful coverage for better Python development.
Empower Innovation with AI Secured by Fortinet Fabric
Discover how Fortinet's AI-integrated cybersecurity framework addresses emerging threats from generative AI adoption while enabling secure enterprise innovation through comprehensive protection.
Work Smarter Than Harder - FortiAI-Assist from Fortinet
Discover how FortiAI Assist transforms security operations by automating alert triage, incident response, and network troubleshooting to reduce analyst workload and improve efficiency.
Building Scalable AI/ML Platforms for Industrial IoT
Discover how to architect scalable AI/ML platforms for Industrial IoT, covering predictive maintenance, edge computing, and cloud-native components for platform engineers.
MLOps at Scale - AI Systems for HR Transformation
Discover how to implement MLOps at scale for HR AI systems, covering production challenges, pipeline workflows, monitoring, data engineering, and governance strategies.
AI Visibility Essentials with Semrush
Discover how AI transforms SEO by tracking prompts over keywords, optimizing for LLMs, measuring AI visibility, and adapting content strategy for AI-powered search.
Don't Make Assertion Assumptions with AI - You Still Have to Write Unit Tests
Discover strategies for balancing AI assistance with proper unit testing practices to maintain code quality and avoid over-reliance on automated tools.