#Tree of Thoughts
121 related articles
·5 min
Learn AI Agent Development from Scratch: A 3-Step Practical Path to Get Started Quickly
How to learn AI Agent development from scratch? This article outlines a clear 3-step path: Python crash course, LLM theory & practice, and LangChain framework project implementation.
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·3 min
From Frontend to Agent Development: A Complete 6-Week Systematic Learning Path
A 6-week systematic learning path for frontend engineers transitioning to AI Agent development, covering core architecture, ReAct, multi-agent collaboration, RAG integration, and deployment.
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·4 min
Office CLI: The Open-Source Tool That Lets AI Agents Generate and Deliver Office Files
Office CLI is an open-source GitHub Trending tool that lets AI Agents create Word, Excel, and PowerPoint files directly — with preview rendering and auto-checks, no Microsoft Office required.
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·3 min
Vibe Coding for Beginners: Build Your First Project with AI from Scratch
What is Vibe Coding? Learn this new AI programming paradigm from scratch — no CS degree needed. Use Claude Code, Cursor, and more to build real projects by describing your ideas.
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·7 min
Context Engineering: A Systematic Approach to Stop AI Agents from 'Talking Nonsense'
Context engineering is the core methodology for building efficient AI Agents, covering query enhancement, RAG retrieval, prompt design, memory management, and tool invocation. Master Write, Select, Compress, and Isolate to solve LLM hallucination at its root.
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·7 min
The Complete Guide to LLM Application Engineer Interviews: Six High-Frequency Topics in the Agent Domain
A focused guide to the core interview topics for LLM application engineers, covering agent architecture, Multi-Agent, Langfuse evaluation & tracing, security, and RAG optimization.
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·7 min
The Complete Guide to LLM Application Engineer Interviews: Six High-Frequency Agent Topics
A focused guide to core LLM application engineer interview topics, covering agent architecture, Multi-Agent, Langfuse evaluation, security, and RAG optimization.
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·6 min
The Complete Codex Guide: From Beginner to Pro with the All-in-One AI Assistant
OpenAI Codex is more than a coding tool—it's an AI agent that writes code, makes slides, and operates browsers. This guide covers its four versions, permission modes, plugins, automation, and six best practices.
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·5 min
DeepSeek V4 Enters Grayscale Testing, Grok 5.0 Ready to Launch | Latest AI Model Developments
This AI Daily covers five sectors: DeepSeek V4 reportedly enters grayscale testing with improved chain-of-thought; Musk previews Grok 4.6 and 5.0 with 2T parameters; Intern-S2 open-source model beats Claude Opus 4.8; xAI builds 2000MW Colossus cluster; NVIDIA RoboTTT breaks long-horizon robotics barriers.
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·4 min
7 Core Components for Designing Long-Running AI Agents
A deep dive into the 7 core components for building long-running AI Agents: Goal, Evaluator, Verifier, Loop, Orchestration, Observability, and Memory.
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·3 min
A Former Tencent Engineer's Complete Journey Building a 'Decision Paralysis' Mini Program with AI
A former Tencent engineer used CodeBuddy AI to solo-build a 'Decision Paralysis' mini program — from a phone specs spreadsheet to a fully launched WeChat app.
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·3 min
Codex vs Fable Head-to-Head: Letting AI Autonomously Discover Business Problems
Head-to-head test of Codex vs Fable AI Agents autonomously auditing a business with zero instructions. Codex executes reliably but self-limits; Fable shows deeper strategic vision. Includes optimal combo strategy and reusable automation skill framework.
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DCG: A Rust-Powered Safety Guard That …
·2 min
DCG: A Rust-Powered Safety Guard That Intercepts Dangerous AI Agent Commands
DCG is an open-source Rust tool that intercepts dangerous shell and git commands for AI agents like Claude Code and Cursor, enabling zero-trust execution environments.
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·3 min
Don't Start AI Learning with Machine Learning: A Beginner's Guide to the Onion Model
Gaurav Sen reveals the fatal trap in AI learning: starting from ML fundamentals often leads to burnout. Learn the Onion Model approach—RAG, Agents first, Transformers next, math last.
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·3 min
Running a 27B Model on iPhone: How 1-bit Quantization Achieves Extreme Compression
PrismML's Bonsai compresses a 27B model from 54GB to 3.9GB, running at ~11 tokens/sec on iPhone. A deep dive into QAT, knowledge distillation, and speculative decoding.
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Claude Is Mr. Meeseeks: The Disposable…
·2 min
Claude Is Mr. Meeseeks: The Disposable Nature of AI Agents and Its Engineering Implications
Using Rick and Morty's Mr. Meeseeks to explain Claude and AI agents: stateless execution, task atomicity, and multi-agent recursive failure risks. A deep dive for developers building better AI workflows.
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Cross-Model Prompt Engineering: Why Gr…
·3 min
Cross-Model Prompt Engineering: Why Great Prompting Techniques Work Universally
Explore why prompt engineering techniques transfer across AI models. Learn role definition, structured instructions, and Chain-of-Thought strategies that work universally across GPT, Claude, and beyond.
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GODMODE Project Deep Dive: AI Jailbrea…
·2 min
GODMODE Project Deep Dive: AI Jailbreaking Techniques and the Security Arms Race in Large Language Models
GODMODE (G0DM0D3) has 9,300+ GitHub stars fueling debate on AI jailbreaking vs. safety alignment. A deep technical dive into LLM guardrails, prompt injection, and AI security governance.
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·2 min
20-Year-Old College Student Earns $1,200/Month with Claude: A Vibe Coding Monetization Breakdown
A 20-year-old student built iOS app TrumpSignal using Claude for $545, earning $1,200/month in passive income. Full breakdown of costs, niche strategy, and Vibe Coding lessons.
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Fuse: An Open-Source MCP Tool Built to…
·2 min
Fuse: An Open-Source MCP Tool Built to Optimize Claude Code for C# Codebases
Fuse is an open-source MCP/CLI tool that improves Claude Code's performance on large C# codebases using Roslyn-powered semantic queries to reduce token usage.
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