#prompt-based development
20 related articles
Product Reviews·3 min
Zenflow Hands-On Review: Spec-Driven AI Coding vs. Pure Prompt-Based Development
In-depth review of Zenflow's spec-driven AI coding vs Google AI Studio's prompt-based approach. Covers multi-agent execution, automated validation, version rollback, and the paradigm shift in AI programming.
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·3 min
From RAG to Agent Tuning: A Complete Guide to Deploying LLM Agents
A deep dive into LLM Agent frameworks covering RAG, Agent core components (tools, memory, planning), and Agent Tuning workflows with cost considerations for production deployment.
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·4 min
IntelliJ IDEA Efficiency Configuration Guide: Lessons from Seven Years of Java Development
A senior Java developer shares 7 years of IntelliJ IDEA configuration tips: JVM tuning, AI-assisted coding, Testcontainers testing, debugging tricks, and Spring toolchain setup.
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·3 min
From Word Vectors to Large Language Models: The Complete Evolution of AI 2.0 Technology
From word vectors and embeddings to RNNs, BERT, Transformers, and ChatGPT — a complete guide to the technical evolution of large language models and the AI 2.0 era.
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·3 min
Agent Fine-Tuning in Practice: A Complete Guide to Training Your Own AI Agent
A deep dive into Agent Tuning: from LLM hallucination and staleness issues to RAG vs. Agent architecture, the 4-step fine-tuning process, and cost analysis for building your own AI agent.
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·2 min
Impri: A Structural Human Approval Gateway for AI Agents
A deep dive into Impri — a structural human approval gateway for LangChain/LangGraph agents, exploring why prompt-level constraints fail and how code-layer gates enable reliable human-in-the-loop AI.
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·3 min
Enterprise AI Agent Learning Roadmap: A Complete Guide from Beginner to Production
A structured AI Agent learning roadmap covering 4 stages: foundations, core frameworks, scenario practice, and advanced product thinking. Master LangChain, tool calling, memory, and more.
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·3 min
Getting Started with Agent Skills: Structure, Principles, and Practical Usage
A deep dive into Agent Skills: learn the file structure (SKILL.md, references, scripts, assets), core principles, and how they differ from prompts. Build your own AI skill bundle from scratch.
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·4 min
Enterprise AI Agent Development Guide: Multi-Task Recognition and Dynamic Tool Calling in Practice
A deep dive into AI Agent architecture and enterprise deployment. From LangChain and ReAct design to dynamic tool calling and multi-task recognition — build autonomous enterprise AI assistants.
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·7 min
Claude Code Command Orchestration: One-Click Content Research and Auto-Publishing
Learn how to orchestrate Claude Code custom commands to chain content research and social media publishing agents into a fully automated workflow with one command.
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·6 min
Getting Started with LangChain: A Deep Dive into Model and Agent Core Concepts
Deep dive into LangChain's core Model and Agent concepts, covering unified model interfaces, agent tool calling, middleware mechanisms, and key principles for building LLM applications.
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·7 min
GPT Image 2 Hands-On Review: In-Depth Evaluation of Text Layout and Character Breakdown Capabilities
GPT Image 2 hands-on review: near-flawless poster text layout and automatic character breakdown with Chinese annotations. Deep analysis of core capabilities, comparison with Nano Banana, and risk assessment for access channels.
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·3 min
Archon: Teach AI to Operate Your Computer by Screen Recording, Automate Repetitive Work with One Click
Archon is a GUI Agent automation tool that teaches AI to operate computers through screen recording. Supports voice annotations and visual understanding for repetitive office tasks without coding.
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·4 min
Frontier Code Deep Dive: Code That Runs ≠ Code That Merges — A Quality Revolution in Programming Benchmarks
Deep dive into Cognition's Frontier Code benchmark: why passing tests isn't enough, how six quality dimensions evaluate code, and why code quality is AI coding's next bottleneck.
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Meta SAM 3D Receives CVPR Best Paper H…
·2 min
Meta SAM 3D Receives CVPR Best Paper Honorable Mention: A Segmentation Breakthrough from 2D to 3D
Meta AI's SAM 3D wins CVPR 2026 Best Paper Honorable Mention, extending universal segmentation from 2D images to 3D space with major implications for robotics, autonomous driving, and AR/VR.
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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·3 min
Building AI Agents with Node.js: Replacing Prompt Engineering with Function Calls
Learn how to refactor a Node.js AI Agent using Function Calls instead of prompt engineering. Covers tool definition via JSON Schema, the Agent Loop, and key implementation details from analyzing Claude Code.
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Product Reviews·2 min
Google Stitch 2.0 Deep Dive: The Transformation from UI Generator to AI-Native Design Canvas
Google Stitch 2.0 major upgrade introduces infinite canvas, design agents, DesignMD rules, and MCP developer integration—transforming from a UI generator into an AI-native design canvas.
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Product Reviews·2 min
Deep Dive into Amazon Kiro: How Spec-Driven Development Is Changing AI Programming
Deep analysis of Amazon's AI IDE Kiro: its core Specs and Hooks features, comparison with Cursor, and how this free Claude Sonnet 4-powered tool boosts complex project development.
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Tutorials·4 min
Agentic RAG in Practice: Architecture Deep Dive and LangChain Implementation Guide
Compare traditional RAG vs Agentic RAG architectures, explore planning, tool use, and multi-step iteration capabilities, with full LangChain/LangGraph ReAct Agent code and ChatBoss project examples.
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