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AI Waka

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Latest from AI Waka

77 recent articles

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

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.

LLM AgentsObservabilityagentic AI

0 likes · 10 min read

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

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

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 engineeringKnowledge ManagementLLM

0 likes · 23 min read

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

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

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 CodeProductivity

0 likes · 12 min read

Six Ingenious Open-Source Extensions That Supercharge Claude Code

AI Waka

Apr 15, 2026 · Artificial Intelligence

How Claude Managed Agents Simplify Building AI Agents

Claude Managed Agents provides a fully managed cloud environment that handles agent loops, tool execution, context management, and session continuity, allowing developers to define an agent once and let Anthropic’s runtime take care of the rest, dramatically reducing infrastructure overhead.

AI agentsAnthropicClaude

0 likes · 13 min read

How Claude Managed Agents Simplify Building AI Agents

AI Waka

Apr 14, 2026 · Artificial Intelligence

From Prompt Chains to Python State Machines: Evolving Production‑Grade AI Orchestration

This article chronicles three generations of production‑grade AI orchestration—from fragile Claude Code skill chains, through adversarial sub‑agent pipelines with explicit judges, to a deterministic Python state‑machine built on the Claude Agent SDK—highlighting how structured control flow, task splitting, and budget enforcement dramatically improve reliability over raw prompt‑driven workflows.

AI orchestrationClaude Agent SDKLLM

0 likes · 19 min read

From Prompt Chains to Python State Machines: Evolving Production‑Grade AI Orchestration

AI Waka

Mar 31, 2026 · Artificial Intelligence

Which Agentic Programming Framework Wins? A Deep Comparative Review

An in‑depth evaluation of five leading Agentic programming frameworks—BMAD, SpecKit, OpenSpec, GSD, and Superpowers—examines their agents, workflows, and skills, weighing strengths, limitations, and trade‑offs to guide teams in selecting the optimal tool for AI‑assisted software development.

AI developmentContext Engineeringagentic programming

0 likes · 20 min read

Which Agentic Programming Framework Wins? A Deep Comparative Review

AI Waka

Mar 30, 2026 · Artificial Intelligence

Can Claude Code Replicate OpenClaw’s Architecture? A Layer‑by‑Layer Mapping

This article analyzes how Claude Code’s native features map onto OpenClaw’s four‑layer architecture, detailing each layer’s correspondence, the remaining gaps, and practical guidance for building a hybrid ClaudeClaw system that leverages hooks, skills, remote control, and channel plugins.

AI agentsAgent orchestrationClaude Code

0 likes · 29 min read

Can Claude Code Replicate OpenClaw’s Architecture? A Layer‑by‑Layer Mapping