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AI Engineering
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AI Engineering

Focused on cutting‑edge product and technology information and practical experience sharing in the AI field (large models, MLOps/LLMOps, AI application development, AI infrastructure).

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Latest from AI Engineering

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AI Engineering
AI Engineering
Apr 16, 2026 · Artificial Intelligence

How Meta-Harness Enables AI to Self‑Optimize Its Own Harness

Meta-Harness, an open‑source framework from Stanford's IRIS lab, lets large language models access their full code, execution traces, and evaluation scores to autonomously improve prompting pipelines, achieving state‑of‑the‑art results on TerminalBench‑2 while exposing challenges such as long evaluation time, massive token generation, and specialized storage needs.

LLM self‑optimizationMeta-HarnessTerminalBench-2
0 likes · 6 min read
How Meta-Harness Enables AI to Self‑Optimize Its Own Harness
AI Engineering
AI Engineering
Apr 15, 2026 · Artificial Intelligence

Thin Harness, Fat Skills: The Essence of AI Agent Architecture

The article explains how Garry Tan's three AI‑agent engineering principles—Thin Harness, Fat Skills, and Fat Code—replace raw model size arguments with a disciplined architecture that yields 10‑100× productivity gains, illustrated through concrete skill files, case studies, and community insights.

AI agentsArchitecturefat code
0 likes · 11 min read
Thin Harness, Fat Skills: The Essence of AI Agent Architecture
AI Engineering
AI Engineering
Apr 15, 2026 · Artificial Intelligence

Claude Code Introduces Routines: Beyond Simple Scheduling

Claude Code's new Routines feature lets AI run saved workflows on Anthropic's cloud, triggered by schedules, GitHub events, or API calls, offering context‑aware automation that surpasses traditional cron with examples like code review, alert handling, and documentation maintenance.

AI automationAPI triggerClaude
0 likes · 5 min read
Claude Code Introduces Routines: Beyond Simple Scheduling
AI Engineering
AI Engineering
Apr 14, 2026 · Artificial Intelligence

Anthropic’s Multi‑Agent Coordination Guide: 5 Architectures and When to Use Them

When a single AI agent can’t finish a task, Anthropic’s new guide outlines five proven multi‑agent coordination patterns—generate‑validate, orchestrate‑sub‑agent, team, message‑bus, and shared‑state—detailing suitable scenarios, common pitfalls, and a recommendation to start simple and scale only as needed.

AI ArchitectureAnthropicCoordination Patterns
0 likes · 4 min read
Anthropic’s Multi‑Agent Coordination Guide: 5 Architectures and When to Use Them
AI Engineering
AI Engineering
Apr 14, 2026 · Artificial Intelligence

Turn Any Photo into an Editable 3D Model with Hi3D’s AI

Hi3D lets users upload a single image to instantly generate a high‑resolution, editable 3D model using its proprietary Sparc3D algorithm, which leverages sparse convolutional networks and a 3D VAE to preserve fine details and reduce reconstruction error by up to 90%.

3D VAE3D printingAI 3D modeling
0 likes · 5 min read
Turn Any Photo into an Editable 3D Model with Hi3D’s AI
AI Engineering
AI Engineering
Apr 13, 2026 · Artificial Intelligence

Why Your Tokens Burn Money Fast and How a Four‑Tier Model Stack Can Cut Costs

The article examines the rapid token consumption problem caused by popular LLM agents, proposes a four‑tier model hierarchy and concrete routing rules, and offers short‑term, long‑term, and budget‑friendly deployment recommendations to reduce expenses while maintaining performance.

LLMmodel tieringmulti‑model deployment
0 likes · 7 min read
Why Your Tokens Burn Money Fast and How a Four‑Tier Model Stack Can Cut Costs
AI Engineering
AI Engineering
Apr 12, 2026 · Artificial Intelligence

Turning Andrej Karpathy’s Coding Insights into a Claude.md Guide

The article explains how Andrej Karpathy’s observations on large‑model coding failures were encoded into a CLAUDE.md file that defines four concrete principles for Claude Code, shows how to use it, and reports noticeable improvements from user feedback.

AI codingAndrej KarpathyClaude
0 likes · 3 min read
Turning Andrej Karpathy’s Coding Insights into a Claude.md Guide
AI Engineering
AI Engineering
Apr 11, 2026 · Artificial Intelligence

GBrain: Open-Source AI Memory Engine that Gives OpenClaw and Hermes Long-Term Recall

GBrain, an open‑source AI memory hub created by YC partner Garry Tan, combines Postgres tsvector keyword search with pgvector semantic search via RRF, manages thousands of Markdown notes, and runs an automated nightly agent that refines and links memories, offering a practical long‑term recall layer for agents like OpenClaw and Hermes.

AI memoryGBrainHermes
0 likes · 4 min read
GBrain: Open-Source AI Memory Engine that Gives OpenClaw and Hermes Long-Term Recall
AI Engineering
AI Engineering
Apr 10, 2026 · Artificial Intelligence

Getting Started with Hermes Agent: A Complete Beginner’s Guide

Hermes Agent, the open‑source LLM‑driven framework from Nous Research, has attracted 43.7K GitHub stars, but its documentation leaves many developers stranded; a community‑curated ecosystem map and the “Orange Book” guide now provide step‑by‑step installation, skill development, multi‑agent orchestration, and deployment resources to bridge the gap.

Agent orchestrationDocumentation guideEcosystem map
0 likes · 5 min read
Getting Started with Hermes Agent: A Complete Beginner’s Guide