#AI engineering
59 related articles
Tutorials·2 min
How Enterprise Text-to-SQL Breaks the 90% Accuracy Barrier: A Practical Guide to Agent Architecture
A deep dive into engineering strategies for enterprise Text-to-SQL to break 90% accuracy, covering precise schema retrieval, multi-Agent architecture, self-correction, and AI coding practices.
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Product Reviews·3 min
Claude Code 2.1 Deep Dive: Hooks Automation, MCP Ecosystem & Multi-Agent Collaboration Fully Explained
Full breakdown of Claude Code 2.1: Opus 4.6 model upgrade, Hooks deterministic automation, Skills multi-agent collaboration, MCP tool chain integration, plus IDE shortcuts and practical commands.
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Tutorials
Complete Guide to Claude Code GitHub I…
·3 min
Complete Guide to Claude Code GitHub Integration and Hooks
A detailed guide to Claude Code's GitHub integration for automated PR reviews and Issue fixes, plus the Hooks mechanism for injecting custom logic into AI workflows.
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Industry Insights·3 min
Deep Dive into LangChain's Full-Lifecycle Toolchain for Agent Development
LangChain unveils a full-lifecycle toolchain for Agent development at Interrupt, covering Deep Agents 0.6, SmithDB, Context Hub, LLM Gateway, and LangSmith Engine.
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Tutorials
One Month Until CAICP Certification: A…
·2 min
One Month Until CAICP Certification: A Zero-to-Hero Python Sprint Guide
With one month until the CAICP AI certification exam, this guide offers a Python sprint strategy for beginners and C++ developers, covering a 4-week study plan, training options, and fees.
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Tutorials
Anthropic Engineer Shares Four Golden …
·2 min
Anthropic Engineer Shares Four Golden Rules for Vibe Coding
Anthropic's coding agent lead shares four core principles for Vibe Coding in production: be AI's product manager, use it at leaf nodes, focus on verifiability, and embrace exponential growth.
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Tutorials
pnpm Monorepo Full-Stack AI Engineerin…
·2 min
pnpm Monorepo Full-Stack AI Engineering in Practice: Building a Multimodal Conversation System
Learn how to build a full-stack multimodal AI conversation system using pnpm Monorepo architecture, covering local model integration, image understanding, and streaming chat.
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Tutorials
Build a Claude Code Agentic OS in 3 St…
·3 min
Build a Claude Code Agentic OS in 3 Steps — Stop Using AI Like a Slot Machine
Learn how to transform Claude Code from a random prompting tool into a systematic Agentic OS through three layers: architecture, Obsidian memory, and an observability dashboard.
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Research·2 min
Agent Loops in Practice: Transforming Token Output into Productivity from CUDA Kernels to Automated Research
Deep dive into how the Humanize framework transforms LLM tokens into engineering productivity via Agent Loops. Covers KDA winning CUDA kernel contests, virtual hardware optimization, and 50% research cost reduction.
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Tutorials
Indie Game AI in Practice: Building a …
·3 min
Indie Game AI in Practice: Building a Slime Combat System with Soul
A detailed breakdown of building a complete slime combat AI for indie games, covering FSM architecture, multi-attack modules, group AI pursuit mechanics, and animation synchronization.
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Tutorials
Claude Code Desktop Installation & Con…
·3 min
Claude Code Desktop Installation & Configuration Guide: No Account Required + DeepSeek Integration + Chinese Localization
Step-by-step guide to install Claude Code Desktop, use it without an account via Developer Mode, integrate DeepSeek models through CSwitch, add Chinese localization, and configure custom Skills.
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Tutorials
Zen MCP: An Open-Source Tool That Lets…
·2 min
Zen MCP: An Open-Source Tool That Lets Claude Orchestrate Multiple AI Models in Collaboration
Deep dive into Zen MCP, an open-source project that lets Claude Code orchestrate Gemini, O3, and other AI models via MCP protocol, with cost-reduction proxy setup guide.
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Product Reviews
Gemini 2.5 Pro 0605 Hands-On Compariso…
·3 min
Gemini 2.5 Pro 0605 Hands-On Comparison with o3 and Claude Opus 4: Full Evaluation Across Coding, Reasoning, and Writing
Hands-on testing of Gemini 2.5 Pro 0605 across coding, reasoning, creative writing, and app development, compared head-to-head with OpenAI o3 and Claude Opus 4.
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Tutorials
Harness AI Engineering: A Practical Me…
·2 min
Harness AI Engineering: A Practical Methodology for AI-Assisted Programming in Enterprise Projects
Explore the Harness AI Engineering methodology for enterprise AI programming — solving code hallucinations, quality issues, and more with systematic human-AI collaboration.
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Tutorials
The Complete Guide to Spring AI: A Ful…
·3 min
The Complete Guide to Spring AI: A Full Learning Path for Java Engineers Building AI Applications
A comprehensive guide to Spring AI covering LLM integration, prompt engineering, RAG knowledge bases, and five AI Agent patterns, with three enterprise projects for Java engineers.
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Industry Insights·2 min
Cisco Partners with OpenAI Codex: Three Core Scenarios for Enterprise AI Engineering
Cisco partners with OpenAI to bring Codex into enterprise engineering, covering AI-native development, AI Defense security acceleration, and automated bug fixing.
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Research·2 min
How GitHub Is Building a General-Purpose Accessibility AI Agent: Lessons Learned and Technical Challenges
GitHub is building a general-purpose accessibility AI Agent to automatically detect and fix software accessibility issues. Explore the technical challenges, human-AI collaboration, and industry impact.
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Product Reviews
Superpowers vs GStack In-Depth Compari…
·3 min
Superpowers vs GStack In-Depth Comparison: How to Choose Your Claude Code Plugin
In-depth comparison of Claude Code's top open-source plugins Superpowers and GStack — their skills, workflows, and use cases to help developers choose the best AI coding assistant setup.
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Industry Insights·3 min
How Jane Street Built a Custom AI Programming Toolchain for OCaml
Jane Street's AI team details how they built a custom LLM toolchain for OCaml, covering workspace snapshot training data, RL with code evaluation, and the AID editor architecture.
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Product Reviews
Zenflow Hands-On Review: Spec-Driven A…
·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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