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Linyb Geek Road

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Latest from Linyb Geek Road

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Linyb Geek Road

Sep 12, 2026 · Backend Development

Best Way to Use Testcontainers in Spring Boot Tests: @TestConfiguration & ServiceConnection

This article demonstrates the optimal way to integrate Testcontainers with Spring Boot tests using @TestConfiguration, @ServiceConnection, and @RestartScope for reusable Neo4j containers, avoiding dual lifecycle management, and shows how to extend this to dev services with Testcontainers Cloud fixed port mapping.

@RestartScope@ServiceConnection@TestConfiguration

0 likes · 10 min read

Best Way to Use Testcontainers in Spring Boot Tests: @TestConfiguration & ServiceConnection

Linyb Geek Road

Sep 6, 2026 · Fundamentals

Why Ping Can't Test Ports: 4 Tools to Verify Port Availability

This article explains why ping cannot test specific ports due to its use of ICMP instead of TCP/UDP, and demonstrates four tools—telnet, curl, netcat, and nmap—with command examples for verifying port availability.

ICMPTCPUDP

0 likes · 7 min read

Why Ping Can't Test Ports: 4 Tools to Verify Port Availability

Linyb Geek Road

Sep 5, 2026 · Artificial Intelligence

126K Stars: 100+ Production-Ready AI Agents with End-to-End Testing

The awesome-llm-apps GitHub repository offers 100+ end-to-end tested, CI-gated AI applications across 12 categories—from starter agents to multi-agent systems—compatible with major LLMs and licensed Apache-2.0, providing a graded learning path and a testbed for AI agent security research.

AI AgentsAgent SkillsApache 2.0

0 likes · 9 min read

126K Stars: 100+ Production-Ready AI Agents with End-to-End Testing

Linyb Geek Road

Sep 4, 2026 · Artificial Intelligence

AI Agent Memory Deep Dive: Architecture, Implementation & Forgetting Strategies

This article explores AI agent memory mechanisms, detailing four memory types—in-context, external, episodic, and parametric—with Python implementation examples using ChromaDB and OpenAI embeddings, plus memory management strategies like time-based decay, importance scoring, and consolidation.

AI AgentsChromaDBLLM applications

0 likes · 22 min read

AI Agent Memory Deep Dive: Architecture, Implementation & Forgetting Strategies

Linyb Geek Road

Sep 3, 2026 · Artificial Intelligence

How to Choose an AI Agent Memory Framework: LangMem vs MemOS vs Mem0 Compared

This article compares three AI agent memory management frameworks—LangMem, MemOS, and Mem0—detailing their architectures, core features, code integration patterns, and deployment models, with a feature comparison table and decision guidance for selecting the right solution based on complexity, graph memory needs, and enterprise requirements.

AI AgentsLangGraphLangMem

0 likes · 9 min read

How to Choose an AI Agent Memory Framework: LangMem vs MemOS vs Mem0 Compared

Linyb Geek Road

Sep 2, 2026 · Artificial Intelligence

Where Does an Agent’s Long‑Term Memory Live? Update and Deletion Strategies Explained

The article explains why AI agents need a memory layer, categorizes memory into semantic, episodic and procedural types, describes a dual‑layer design of short‑term sliding‑window and long‑term vector‑database storage, and details practical management operations (ADD, UPDATE, DELETE, NOOP) with conflict detection, TTL expiration and privacy‑compliant deletion.

AgentLLMLong-Term

0 likes · 9 min read

Where Does an Agent’s Long‑Term Memory Live? Update and Deletion Strategies Explained

Linyb Geek Road

Sep 1, 2026 · Artificial Intelligence

18 Must‑Know Agent Memory Interview Questions (How to Answer “What Did the User Say Yesterday?”)

This guide covers 18 essential Agent Memory interview questions, from why LLMs need memory and the risks of statelessness to practical implementations such as short‑term strategies, long‑term storage options, compression techniques, security concerns, self‑evolving memories, and designing a scalable system for millions of users.

Agent MemoryLLMMemory Management

0 likes · 27 min read

18 Must‑Know Agent Memory Interview Questions (How to Answer “What Did the User Say Yesterday?”)

Linyb Geek Road

Aug 28, 2026 · Artificial Intelligence

From LLM to Agent: 12 Core AI Concepts Explained in One Go

This article demystifies twelve essential AI terms—LLM, tool, MCP, script, prompt, skill, token, context window, RAG, loop, harness, and agent—using a workplace analogy to show how each component transforms a language model into a functional AI assistant.

AgentLLMMCP

0 likes · 10 min read

From LLM to Agent: 12 Core AI Concepts Explained in One Go

Linyb Geek Road

Aug 27, 2026 · Artificial Intelligence

Three Paradigms of Agent Harnesses: DSH, OpenCode, and Pi

The article compares three open‑source agent harness frameworks—DSH, OpenCode, and Pi—detailing their architectural philosophies, customization mechanisms, security models, maturity levels, and recommending which to choose based on a developer's relationship with the agent.

AI AgentsAgent HarnessAgent Loop

0 likes · 14 min read

Three Paradigms of Agent Harnesses: DSH, OpenCode, and Pi

Linyb Geek Road

Aug 26, 2026 · Artificial Intelligence

How DeepSeek Harness Uses Category Theory to Build a Robust AI Agent Skeleton

DeepSeek Harness, released as an open‑source developer preview, applies category‑theoretic concepts such as objects, morphisms, functors, and monads to turn every plugin into a composable arrow, giving AI agents a mathematically guaranteed, predictable execution framework.

AI AgentComposable SystemsCordis

0 likes · 10 min read

How DeepSeek Harness Uses Category Theory to Build a Robust AI Agent Skeleton