#Container Queries
200 related articles
·4 min
From Solo Analyst to Team Data Platform: A Practical Guide to Leveling Up Your Tech Stack
How should a data scientist upgrade their tech stack when transitioning from IC to team lead? A phased roadmap covering Git, dbt, Snowflake, modern data stack, and generative AI.
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·4 min
Gemini API in Practice: Building AI Agents with Files
Google's official hands-on: how to go from idea to production fast with AI Studio and build AI Agents using the now-GA Interactions API. The core idea—Agents are just combinations of files.
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·5 min
Gemini API in Practice: Building AI Agents with Files
Official Google hands-on: go from idea to production fast with AI Studio, and build AI Agents with the now-GA Interactions API. The core idea: an Agent is just a composition of files—Markdown plus a few scripts, no complex Python loops needed.
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·4 min
Dify Local Deployment Guide: One-Click Private AI Platform with Docker
Step-by-step guide to deploying Dify AI platform locally with Docker. Covers Linux, Windows, macOS setup, docker compose launch, and first-time initialization in under 30 minutes.
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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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·3 min
Dify for Beginners: A Complete Guide to Building AI Applications
A beginner's guide to Dify covering Docker deployment, MySQL setup, model integration, five app types (Chatbot/Agent/Workflow), and publishing — build LLM apps fast.
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·3 min
Dify 1.8.0 Deployment Guide: Build AI Apps Without Writing Code
A complete guide to deploying Dify 1.8.0: Docker setup, environment config, five app types explained, and workflow-building tips for beginners.
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·2 min
Modern Web Guidance: Bringing Modern Web Standards to Your AI Coding Assistant
Modern Web Guidance is an agent skill & CLI tool that injects modern Web standards into AI coding assistants like Claude Code and Copilot CLI, replacing outdated polyfills with Baseline-validated solutions.
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·2 min
Revisiting SHRDLU: The Technical Lineage and Modern Value of Procedural Semantics
From SHRDLU to modern neuro-symbolic AI: explore procedural semantics, CCG grammars, semantic parsing, and interactive fiction engines in today's NLP landscape.
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·3 min
Modern Web Guidance: Getting AI to Generate Better Front-End Code
Google Developer Expert Raudy shares Modern Web Guidance at Google I/O Connect Berlin: a framework steering AI coding assistants to use native HTML/CSS over outdated JavaScript patterns.
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·4 min
Using MCP Protocol to Give AI Agents Full Visibility into SQL Server
Learn how to connect AI agents to SQL Server via MCP protocol — wrapping DMV queries, managing multi-instance fleets, and enabling natural language ops with layered safety guardrails. Includes Docker deployment.
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·3 min
Flyte Deep Dive: A Practical Guide to Choosing Your ML Workflow Orchestration Tool
Deep dive into Flyte's core capabilities: cloud-native GPU scheduling, intelligent caching, checkpoint recovery, and conditional deployment — plus a full comparison with Argo and KubeFlow Pipelines.
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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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·3 min
OpenAI's Finance Chief in Action: How AI Shrinks Their Team to 20% the Size of Peers
OpenAI's finance head Stacy Fagioli reveals how her team uses ChatGPT, Codex, and Excel AI to run finance operations with just 20% of typical headcount — covering IR agents, LBO modeling, and ROI dashboards.
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·3 min
Agent Performance Evaluation: A Three-Layer Framework and Engineering Implementation Guide
A deep dive into the three-layer AI Agent evaluation framework — outcome, process, and system layers — covering trajectory evaluation, tool call accuracy, automated testing, and key engineering challenges.
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Smart Proxy: The Key Architecture for …
·3 min
Smart Proxy: The Key Architecture for Running AI Coding Agents Safely and Autonomously
Too much AI permission is risky; too little kills productivity. A smart proxy acts as a controllable middleware layer — intercepting, auditing, and policy-gating AI agent actions in tools like Claude Code and Cursor for safe autonomous operation.
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·4 min
A Deep Dive into ASP.NET Core: The Complete Guide to Microsoft's Cross-Platform Web Framework
A comprehensive analysis of ASP.NET Core's architecture and technical strengths: cross-platform deployment, high-performance Kestrel server, modular middleware, built-in DI, and modern web capabilities like Blazor, gRPC, and SignalR.
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·3 min
In-Depth Testing of GPT-5.6's Three Models: A Full Analysis of Soul/Terra/Luna Capabilities and Experience
GPT-5.6 launched three models at once—Soul, Terra, and Luna. Flagship Soul dazzled with a Vision Pro drum kit and reviving an old tablet, but the new Work app's frequent errors and export failures dragged down the experience.
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·6 min
AI Agent Development Learning Path: Four Stages from Zero to Hands-On Projects
A systematic breakdown of the AI agent development learning path, covering four stages: fundamentals, RAG knowledge bases, tool use, multi-agent collaboration, and hands-on projects.
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