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AI Waka

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61 recent articles

AI Waka

Apr 28, 2026 · Artificial Intelligence

Why Single-Agent AI Fails: Anthropic’s Multi-Agent Harness for Long-Running Tasks

The article explains that single‑agent AI collapses on long‑running tasks due to compound error probabilities, outlines four structural failure modes, and presents Anthropic’s three‑agent GAN‑style harness—Planner, Generator, Evaluator—detailing sprint contracts, primitives, token economics, and three real‑world case studies that demonstrate dramatically higher reliability and productivity.

AI HarnessAgentic OpsAnthropic

0 likes · 26 min read

Why Single-Agent AI Fails: Anthropic’s Multi-Agent Harness for Long-Running Tasks

AI Waka

Apr 27, 2026 · Artificial Intelligence

17 Cutting‑Edge Open‑Source Projects From AI Agents to NanoGPT

The article surveys 17 cutting‑edge open‑source projects—including AgentClick, ts‑graph‑mcp, ContextEngine, nanoGPT, LocalAI, and others—detailing their purpose, key features, and GitHub links while highlighting how they collectively form infrastructure for AI agents and offline model training.

AI agentsClaudeLocalAI

0 likes · 15 min read

17 Cutting‑Edge Open‑Source Projects From AI Agents to NanoGPT

AI Waka

Apr 27, 2026 · Information Security

Building Intelligent Security Agents with Claude Skills: A Complete AI Cybersecurity Guide

The article explains how Anthropic’s Claude Skills framework enables AI agents to execute expert-level cybersecurity tasks by organizing 734+ MITRE ATT&CK‑mapped skills, detailing their structure, progressive loading, real‑world workflows, deployment steps, customization, and the operational benefits for SOCs, detection engineers, and incident responders.

AI securityAgent SkillsClaude

0 likes · 17 min read

Building Intelligent Security Agents with Claude Skills: A Complete AI Cybersecurity Guide

AI Waka

Apr 26, 2026 · Artificial Intelligence

Can Your AI Agent Write New Instructions? Exploring Google ADK’s New Skills Feature

The article examines how Google’s Agent Development Kit (ADK) tackles the context‑window bottleneck by introducing a three‑layer Skills architecture that lets agents load domain‑specific knowledge on demand, compares implementation modes, provides a step‑by‑step weather‑skill example, and contrasts ADK with OpenAI’s Agent SDK.

AI agentsAgent DevelopmentGoogle ADK

0 likes · 18 min read

Can Your AI Agent Write New Instructions? Exploring Google ADK’s New Skills Feature

AI Waka

Apr 26, 2026 · Artificial Intelligence

Why Runtime, Not Model, Determines AI Agent Success in Production

The article argues that despite powerful models like Claude, the primary cause of AI Agent failures in production is the surrounding runtime infrastructure—such as session management, compliance, and orchestration—rather than the model itself, and examines the split between teams building custom runtimes versus those leveraging platform services.

AI agentsAgent orchestrationClaude

0 likes · 6 min read

Why Runtime, Not Model, Determines AI Agent Success in Production

AI Waka

Apr 26, 2026 · Artificial Intelligence

Unlocking Reliable AI Agents: A Deep Dive into Harness Engineering

The article examines why raw LLM models fail as autonomous coding agents and introduces Harness Engineering—a disciplined scaffold of prompts, tools, context policies, hooks, and sub‑agents—that mitigates context corruption, long‑task collapse, and security risks while cutting token costs by up to 50%.

AI AgentHarness EngineeringLLM safety

0 likes · 14 min read

Unlocking Reliable AI Agents: A Deep Dive into Harness Engineering

AI Waka

Apr 24, 2026 · Artificial Intelligence

One Loop, Three Modes: A Practical Guide to Multi‑Agent Orchestration

The article explains how treating an AI system as multiple specialized agents—delegator, worker, and reviewer—running the same loop but with different configurations can prevent context overload, and it details three orchestration patterns (delegation, swarm, coordinator) along with tool partitioning to ensure reliable, scalable multi‑agent workflows.

AI agentsMulti-agentOrchestration

0 likes · 15 min read

One Loop, Three Modes: A Practical Guide to Multi‑Agent Orchestration

AI Waka

Apr 22, 2026 · Artificial Intelligence

Why Enterprise AI Must Prioritize Augmented Intelligence Over Pure Automation

The article analyzes how current AI benchmarks overstate model capabilities, reveals performance gaps in real‑world professional tasks, and argues that effective enterprise AI requires augmented intelligence through governance engineering, context management, and human‑in‑the‑loop design rather than full automation.

AI benchmarksaugmented intelligencecontext window

0 likes · 23 min read

Why Enterprise AI Must Prioritize Augmented Intelligence Over Pure Automation

AI Waka

Apr 22, 2026 · Artificial Intelligence

Hybrid MCP‑Skill Model: Keeping LLM Agent Skills Fresh

The article analyzes the trade‑offs between packaging new agent functionality as a static Skill versus a dynamic MCP server, proposes a hybrid thin‑CLI approach that combines the ease of Skills with the up‑to‑date guarantees of MCP, and illustrates the design with concrete code examples.

API versioningCLI wrapperLLM agents

0 likes · 7 min read

Hybrid MCP‑Skill Model: Keeping LLM Agent Skills Fresh

AI Waka

Apr 22, 2026 · Artificial Intelligence

How Anthropic’s Dual‑Agent Harness Overcomes Long‑Context Coding Limits

Anthropic’s Harness engineering introduces a dual‑agent architecture, JSON‑based feature anchors, strict test contracts, incremental git commits, browser‑automation validation, and a token‑efficient startup script to prevent context‑window overflow and premature completion in long‑running AI‑driven coding tasks.

AI agentsAgentic CodingHarness Engineering

0 likes · 22 min read

How Anthropic’s Dual‑Agent Harness Overcomes Long‑Context Coding Limits