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Latest from AI Tech Publishing

77 recent articles

AI Tech Publishing

Apr 4, 2026 · Artificial Intelligence

Become a World-Class Agent Engineer: Master Context, Rules, and Termination Conditions

This guide explains how to become a world‑class Agent engineer by managing context bloat, defining clear rules and skills, separating research from implementation, using neutral prompts, and writing explicit termination contracts, while emphasizing that the final results remain the developer’s responsibility.

Agent EngineeringClaudeCodex CLI

0 likes · 17 min read

Become a World-Class Agent Engineer: Master Context, Rules, and Termination Conditions

AI Tech Publishing

Mar 31, 2026 · Artificial Intelligence

How a Planner‑Generator‑Evaluator Trio Enables Claude to Build Full‑Stack Apps Autonomously

The article details a GAN‑inspired three‑agent architecture—planner, generator, and evaluator—that overcomes Claude's self‑evaluation bias and context‑window limits, enabling hours‑long autonomous coding of complete front‑end and full‑stack applications with measurable cost and quality improvements.

AI agentsAgent orchestrationClaude

0 likes · 27 min read

How a Planner‑Generator‑Evaluator Trio Enables Claude to Build Full‑Stack Apps Autonomously

AI Tech Publishing

Mar 31, 2026 · Artificial Intelligence

Step‑by‑Step Guide to Building Your First AI Agent from Scratch (Full Code Included)

This comprehensive guide walks you through the fundamentals of AI agents, explains the core agent loop, compares workflow patterns with autonomous agents, and provides a practical five‑step process—including tool design, memory handling, testing, and multi‑agent collaboration—complete with real code examples for Anthropic and OpenAI SDKs.

AI AgentLLMMemory

0 likes · 22 min read

Step‑by‑Step Guide to Building Your First AI Agent from Scratch (Full Code Included)

AI Tech Publishing

Mar 30, 2026 · Industry Insights

How to Optimize Your Content for GEO and Get Cited by DeepSeek, Doubao, and ChatGPT

This guide explains what Generative Engine Optimization (GEO) is, why AI‑driven search traffic converts far better than traditional SEO, and provides concrete writing, platform‑specific, and technical steps—including robots.txt, llms.txt, and Schema markup—to make your content reliably cited by Chinese AI search engines and global models.

AI SEOChinese AIContent Optimization

0 likes · 22 min read

How to Optimize Your Content for GEO and Get Cited by DeepSeek, Doubao, and ChatGPT

AI Tech Publishing

Mar 28, 2026 · Artificial Intelligence

Designing Agent Memory Systems: Four Types, Three Strategies, and Full Python Implementation

This article breaks down agentic memory into four distinct types—In‑context, External, Episodic, and Semantic/Parametric—explains three forgetting strategies (time decay, importance scoring, periodic consolidation), shows how memory flows through an agent loop, and provides complete Python code using OpenAI embeddings and ChromaDB for a production‑ready memory layer.

Agent MemoryChromaDBLLM

0 likes · 22 min read

Designing Agent Memory Systems: Four Types, Three Strategies, and Full Python Implementation

AI Tech Publishing

Mar 24, 2026 · Artificial Intelligence

Choosing Between Sub‑agents and Agent Teams in Claude Code: Key Differences Explained

This article analyzes Claude Code's Sub‑agents and Agent Teams, comparing their architectures, use‑cases, and constraints, and provides practical guidelines, code examples, and design patterns to help developers decide which multi‑agent model best fits their tasks.

AI OrchestrationAgent TeamsClaude

0 likes · 12 min read

Choosing Between Sub‑agents and Agent Teams in Claude Code: Key Differences Explained

AI Tech Publishing

Mar 20, 2026 · Industry Insights

What 81,000 Anthropic Interviews Reveal About Real User Expectations and Concerns for AI

In a massive interview study of 80,508 users across 159 countries, Anthropic uncovers that people want AI to improve their lives—not just speed up work—while simultaneously fearing reliability issues, loss of agency, and emotional dependence, offering concrete guidance for AI product design.

AI user researchAnthropicProduct Design

0 likes · 21 min read

What 81,000 Anthropic Interviews Reveal About Real User Expectations and Concerns for AI

AI Tech Publishing

Mar 20, 2026 · Artificial Intelligence

Why Agent Harnesses and Coding Aren’t the Real Competitive Edge

The article argues that while AI agents can now generate code cheaply, the true competitive advantage lies in reducing cost and speed, and that elaborate harness engineering and coding optimizations offer little economic benefit compared to solid verification practices like testing, CI, and clear contracts.

AI agentsHarness EngineeringLLM productivity

0 likes · 8 min read

Why Agent Harnesses and Coding Aren’t the Real Competitive Edge

AI Tech Publishing

Mar 18, 2026 · Artificial Intelligence

How Context Engineering Turns AI Agents from ‘Usable’ to ‘Highly Effective’

The article explains how organizing the prompt, tool schemas, dialogue history, and retrieved documents—collectively the context window—affects an AI agent’s decisions, introduces the concepts of Lost‑in‑the‑Middle, Thinking Tokens, tool‑response caching, compaction versus SubAgent strategies, and shows a step‑by‑step evolution that raised accuracy from 60 % to over 95 %.

AI agentsContext EngineeringLLM

0 likes · 9 min read

How Context Engineering Turns AI Agents from ‘Usable’ to ‘Highly Effective’

AI Tech Publishing

Mar 16, 2026 · Artificial Intelligence

How to Make Agent Skills Evolve Autonomously

The article analyzes why static agent skills become brittle as codebases, models, and user needs change, and proposes a closed‑loop architecture that observes executions, learns from failures, automatically suggests improvements, and evaluates changes to keep skills continuously evolvable.

AI automationAgent SkillsClosed‑Loop

0 likes · 7 min read

How to Make Agent Skills Evolve Autonomously