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AI Waka
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AI Waka

AI changes everything

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Latest from AI Waka

61 recent articles
AI Waka
AI Waka
Apr 22, 2026 · Artificial Intelligence

Unlock Better AI Results: Harvard‑Backed Prompt Skills You Can Apply Today

Drawing on Harvard research, BCG studies, and major AI platform guidelines, this article reveals three concrete prompt‑engineering skills—task definition, contextual grounding, and output testing—plus actionable checklists that let everyday users instantly boost the quality, speed, and reliability of generative AI outputs.

AI productivityGenerative AIHarvard research
0 likes · 13 min read
Unlock Better AI Results: Harvard‑Backed Prompt Skills You Can Apply Today
AI Waka
AI Waka
Apr 21, 2026 · Artificial Intelligence

Why Massive Prompts Fail and How Skills Transform AI Agents

The article explains how monolithic system prompts become costly, unreliable, and hard to maintain as AI agents grow, and demonstrates a modular Skill‑based architecture that loads knowledge on demand, improves scalability, debugging, and reuse.

AIAgentSkills
0 likes · 13 min read
Why Massive Prompts Fail and How Skills Transform AI Agents
AI Waka
AI Waka
Apr 20, 2026 · Artificial Intelligence

How to Build Powerful Claude Skills: A Step‑by‑Step Guide

Learn how to design, write, test, and deploy reusable Claude Skills—custom instruction sets that automate document processing, code review, content creation, and data handling—by defining goals, crafting SKILL.md, adding scripts, creating trigger phrases, and measuring performance with concrete examples.

AIAutomationClaude
0 likes · 15 min read
How to Build Powerful Claude Skills: A Step‑by‑Step Guide
AI Waka
AI Waka
Apr 20, 2026 · Artificial Intelligence

Why the Hidden ‘Agent Harness’ Beats Bigger Models in AI Performance

The article explains how the often‑overlooked Agent Harness—an orchestration layer surrounding large language models—determines AI agent success, detailing its five core components, real‑world case studies, and why system design now outweighs raw model size.

AI agentsAgent architectureHarness Engineering
0 likes · 17 min read
Why the Hidden ‘Agent Harness’ Beats Bigger Models in AI Performance
AI Waka
AI Waka
Apr 18, 2026 · Artificial Intelligence

Mastering AI Agent Reliability: 12 Harness Engineering Patterns You Need

This guide explains how to move from fragile, prompt‑only AI agents to production‑grade systems by designing a control layer—called Harness Engineering—covering memory management, workflow orchestration, permission boundaries, automation patterns, and the Intelligent Harness Runtime that makes agents self‑governing and resilient.

AI AgentHarness EngineeringIntelligent Harness Runtime
0 likes · 18 min read
Mastering AI Agent Reliability: 12 Harness Engineering Patterns You Need
AI Waka
AI Waka
Apr 17, 2026 · Artificial Intelligence

From Generative to Agentic AI: Building Real‑World Agent Systems

The article explains how AI is shifting from reactive generative models to goal‑driven Agentic systems, outlines core framework components, common patterns, skill abstractions, a step‑by‑step implementation guide for backend engineers, and introduces Harness Engineering for production‑grade reliability and observability.

AI frameworksAgentic AILLM agents
0 likes · 10 min read
From Generative to Agentic AI: Building Real‑World Agent Systems
AI Waka
AI Waka
Apr 17, 2026 · Artificial Intelligence

Why Claude Code’s Slash Commands Matter and How They Evolve into Skills

This article examines Claude Code’s slash commands—defining their purpose, scope, parameter model, and limitations—while showing why they’re being folded into the newer Skill system to improve modularity, dynamic context injection, and long‑term maintainability for AI‑driven workflows.

AIClaudePromptEngineering
0 likes · 23 min read
Why Claude Code’s Slash Commands Matter and How They Evolve into Skills
AI Waka
AI Waka
Apr 16, 2026 · Artificial Intelligence

Why Modern AI Systems Should Compile Knowledge Instead of Just Retrieving It

Traditional RAG pipelines forget everything after each query, but the LLM Wiki mode proposed by Andrej Karpathy compiles source material into a version‑controlled, cross‑referenced Markdown wiki, enabling knowledge to compound over time, reduce query costs, and provide a transparent, human‑readable knowledge base for AI engineers.

AI engineeringLLMRAG
0 likes · 23 min read
Why Modern AI Systems Should Compile Knowledge Instead of Just Retrieving It
AI Waka
AI Waka
Apr 16, 2026 · Interview Experience

40 Must‑Know GenAI Interview Questions: From RAG Pipelines to Multi‑Agent Orchestration

This comprehensive guide compiles 40 senior‑level GenAI interview questions covering LLM fundamentals, retrieval‑augmented generation, prompt engineering, multi‑agent orchestration, fine‑tuning, evaluation, system design, NL‑to‑SQL, and knowledge‑graph retrieval, providing concise, accurate answers and practical trade‑off insights.

GenAIInterview preparationLLM
0 likes · 31 min read
40 Must‑Know GenAI Interview Questions: From RAG Pipelines to Multi‑Agent Orchestration
AI Waka
AI Waka
Apr 16, 2026 · Artificial Intelligence

Six Ingenious Open-Source Extensions That Supercharge Claude Code

This article showcases six unique open‑source repositories that extend Claude Code with capabilities such as persistent subconscious memory, phone call integration, prompt improvement, interactive canvas panels, real‑time peer messaging, and a comprehensive job‑search assistant, detailing their key features, usage scenarios, and setup requirements.

AI extensionsClaude Codeopen-source tools
0 likes · 12 min read
Six Ingenious Open-Source Extensions That Supercharge Claude Code