#Function Call
213 related articles
Self-Study Guide to AI Agent Developme…
·4 min
Self-Study Guide to AI Agent Development: A Complete Path from Zero to Production
A practical self-study roadmap for AI Agent development: covering core skills, common pitfalls, phased learning plans, and interview prep to help developers go from concept collectors to builders.
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AI Large Language Model Learning Roadm…
·3 min
AI Large Language Model Learning Roadmap for Beginners: A Three-Month Hands-On Guide
A detailed zero-to-hero AI large model learning roadmap covering four phases—fundamentals, RAG, Agents, and engineering deployment—with a practical three-month study plan and career advice.
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The Complete Vibe Coding Tool Landscap…
·3 min
The Complete Vibe Coding Tool Landscape: From Cursor to CodeBuddy — How to Choose Among Nine Leading Tools
Compare 9 leading Vibe Coding tools — Cursor, CodeBuddy, Codex, Trae & more. Find the best AI coding assistant for beginners to pro developers.
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Cursor AI Programming in Practice: A C…
·3 min
Cursor AI Programming in Practice: A Complete Walkthrough from UI Design to Project Launch
A deep dive into Cursor AI's complete project development workflow, covering standardized prompts, UI design, code generation, and LangChain agent building.
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·2 min
Cherry Studio: A Deep Dive into the Open-Source AI Productivity Tool with Unified Access to 300+ LLMs
Deep dive into Cherry Studio, an open-source AI client supporting 300+ LLMs including OpenAI, Claude, and Gemini, with autonomous agents and pre-built assistants. Nearly 47K GitHub Stars.
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·1 min
Runway Adds Tool Calling to Real-Time Video Characters, Moving from Conversation to Intelligent Execution
Runway upgrades real-time video Characters with tool calling, enabling AI video agents to execute queries, tasks, and operations—marking a shift from content generation to intelligent agent platform.
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·2 min
Gemini 3.5 Flash Teams Up with Antigravity: Multi-Agent Collaboration to Build an Entire City
Deep dive into how Gemini 3.5 Flash and Antigravity platform use multi-subagent architecture to design and build a complete virtual city from scratch.
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·3 min
Codex Hooks Explained: The Automation Powerhouse That Hijacks the Entire AI Workflow
Deep dive into Codex Hooks' six lifecycle hook types, covering configuration, local vs global hooks, and practical use cases like security interception and auto-summarization for full AI workflow control.
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·2 min
OpenAI Supports Private MCP Servers: A Deep Dive into Secure Enterprise Intranet Connectivity
OpenAI announces ChatGPT, Codex, and Responses API now support private MCP servers, enabling secure enterprise intranet AI integration via outbound-only HTTPS.
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·2 min
Two Years of AI Growth: From Passively Following Instructions to Proactively Understanding Intent
A look at AI's core evolution over two years: from a prompt-dependent instruction follower to an autonomous collaborator that understands intent, plans tasks, and self-corrects.
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·3 min
Cursor Auto-Review Mode Explained: Smart Tiered Approval for More Efficient AI Programming
Cursor launches Auto-review mode with smart risk assessment for tiered approval. Low-risk operations auto-approve while high-risk ones need manual confirmation.
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·3 min
The New Builder Mindset in the AI Era: How the Developer Role Is Evolving
OpenAI declares 'developers have evolved.' Explore the new builder mindset: the shift from code writers to product builders, lower barriers, and the rise of full-stack individuals in the AI era.
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·4 min
Five Common Misconceptions in AI Agent Development: An Essential Guide Before You Start
Debunking 5 common AI Agent development misconceptions: Agents aren't smarter ChatGPTs, complexity doesn't equal power, and RAG can't cure hallucinations. Learn the right approach to building Agents.
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·3 min
Firebase Integrates with AI Studio: Four Core Capabilities for Production-Grade Agent Applications
Deep dive into Google Firebase's integration with AI Studio, covering four core capabilities—database auto-configuration, authentication, security rules drafting, and zero-config deployment—for production-grade AI agent apps.
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·4 min
Firebase AI Logic Update: Expanded Model Support and Enhanced Output Integrity Explained
Firebase AI Logic gets major updates at Google I/O, expanding AI model support and enhancing output integrity. Learn how these changes impact developers.
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·3 min
Deep Conversation with Gemini's Four Co-Leads: Technical Roadmap, Current State, and Future Direction
Google Gemini's four co-leads — Jeff Dean, Noam Shazeer, and others — discuss Gemini's technical roadmap, multimodal capabilities, Agent direction, and future strategy in a rare joint conversation.
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·4 min
OpenAI Swarm Framework Explained: The Core Mechanisms of Function Call and Handoff
Deep dive into OpenAI Swarm multi-agent orchestration framework, explaining Function Call tool invocation and Handoff task transfer mechanisms with local deployment guide.
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Tutorials·3 min
ReAct vs. CodeAct: Two Core Approaches to Agent Tool Calling
In-depth comparison of ReAct and CodeAct — two core Agent tool-calling architectures. From paper principles to code implementation, learn the trade-offs between reasoning+action and code execution.
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Tutorials·3 min
Agent Tuning: A Complete Guide to Training LLMs with Agent Capabilities
A deep dive into Agent Tuning principles and practices, covering why Agent training is needed, the evolution from Prompt to RAG to Agent, development workflows, and cost assessment for private deployment.
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Tutorials·2 min
Understanding Function Calling and MCP Through Cursor's System Prompt
Deep dive into Function Calling and MCP working principles through Cursor editor's system prompt analysis, comparing regular tools vs MCP tools and testing Agent capabilities across model sizes.
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