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// a resource hub

Building the future of agent engineering.

From agent design to production — patterns, tools, and systems.

Curated guides About me
~/agent-workflows
// featured

Highlights

Hand-picked guides worth starting with.

Open Source Project
ClaudeClaw

ClaudeClaw

Use Claude to orchestrate agents like OpenClaw. Secured, fast, and extensible.

<10ms cold start Kernel sandboxed ~8K lines
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ClaudeClaw sandbox security model
Jul 13, 2026

Personal Agentic OS: who will own the personal knowledge layer?

Frontier models are converging into commodities; your accumulated context is the one input nobody else has. The personal knowledge stack now exists — format, capture, sync, protocol — except for the one layer nobody has an incentive to standardize: governance. It's the last moat left, and whoever owns it owns the model of you.

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Apr 4, 2026

From Conductor to Orchestrator: A Practical Guide to Multi-Agent Coding in 2026

The complete landscape of multi-agent coding orchestration — from Claude Code Agent Teams to Oh My OpenAgent, the Ralph Loop pattern, and how to choose the right tier for your workflow

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Mar 28, 2026

Top 7 Open-Source AI Low/No-Code Tools in 2026: A Comprehensive Analysis of Leading Platforms

An updated analysis of 7 open-source platforms redefining AI implementation in 2026: Activepieces, Dify, Langflow, n8n, Flowise, Botpress, and CrewAI — covering agentic workflows, MCP adoption, and human-in-the-loop capabilities

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Mar 27, 2026

How to use Claude Code

The complete guide to Claude Code in 2026 — features, hooks, skills, MCP servers, subagents, permission modes, and advanced workflows for maximum productivity

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// latest

Recent Posts

Aug 7, 2026

A List Is a Snapshot: Curating Awesome ADE While GitHub's Star Signal Went Dark

Building a curated list of Agentic Development Environments meant verifying a hundred repositories by hand — and discovering that the usual way of spotting what is rising on GitHub has quietly stopped working

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Aug 4, 2026

A Machine Per Agent

macOS virtualization stopped being about running Windows. Apple container, OrbStack, Lima, Tart, UTM, QEMU, and why the VM became an allocatable unit again.

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Apr 24, 2026

After the Browser

the agent harness is the new browser, MCP is the new HTTP, and the hard problems have moved from the loop to the tool layer, context management, and federated capability.

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Apr 4, 2026

The claw-code Story: What's the Harness?

The architecture behind the most important leak of AI history, and probably the inflexion point for agent orchestration

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Apr 4, 2026

From Conductor to Orchestrator: A Practical Guide to Multi-Agent Coding in 2026

The complete landscape of multi-agent coding orchestration — from Claude Code Agent Teams to Oh My OpenAgent, the Ralph Loop pattern, and how to choose the right tier for your workflow

Read →
Apr 3, 2026

Pi AI SDK vs Anthropic Claude Agent SDK

"The analogy from the ecosystem that resonated most: Claude Code is "Rails" — opinionated, structured, with best practices baked in. Pi is "Arch Linux" — giving you the smallest kernel and the greatest freedom. "

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// topics

Browse by topic

# python 9 # claudecode 8 # docker 8 # claude 8 # agents 7 # ai 6 # harness 5 # n8n 5 # scraping 4 # posts 4
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// faq

Frequently Asked

How to use Claude Code effectively?

Claude Code is Anthropic's CLI tool for AI-assisted development. Learn best practices including sub-agents, skills, hooks, and full-stack configuration to supercharge your workflow.

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What are the best open-source workflow orchestration tools in 2026?

Top tools include n8n, Dagster, Prefect, Kestra, and Argo Workflows. Each excels in different areas from low-code automation to data pipeline orchestration.

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What is the modern Python data stack?

The modern Python data stack in 2026 combines tools like Dagster, dbt, Great Expectations, and DuckDB for orchestration, transformation, quality, and analytics.

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What are the best backend-as-a-service platforms?

Leading open-source BaaS options include Appwrite, Supabase, Payload CMS, Directus, and Convex — offering auth, databases, storage, and APIs out of the box.

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How to get started with web scraping in Python?

Python offers powerful scraping tools: Scrapy for large-scale crawling, BeautifulSoup with Requests for quick scripts, and Parsel for lightweight parsing with CSS and XPath selectors.

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