Workflow

Personal productivity processes

80 practitioners working with Workflow:

Addy Osmani's Spec-Driven AI Coding How Google's Head of Chrome Developer Experience applies structured prompts and specs to get reliable results from coding agents

Ado Kukic's Advent of Claude How Anthropic's Developer Relations engineer documented 31 days of Claude Code tips, from basics to advanced agent patterns

Agent Checkpointing: Save, Restore, and Rewind Autonomous Work How checkpoint systems enable long-running agent workflows by saving state periodically, allowing recovery from failures and rollback from bad decisions

Agentic Design Patterns: ReAct, Reflection, Planning, Tool Use When to use ReAct loops, self-critique, task decomposition, and tool calling in AI agents. A practical pattern library for building effective agent systems.

Alex Albert's Claude Mastery Anthropic's Claude Relations lead shares the prompting patterns that make Claude most effective

Alexander Opalic's Claude Code Deep Dives How a German developer became the go-to source for understanding Claude Code's full stack — MCP, skills, subagents, hooks, and plugins

Ali Abdaal's AI Content System: From 2 Hours to 30 Minutes How a 6M+ subscriber creator uses AI to save 10+ hours per week. Complete breakdown of tools, workflows, and results.

Amjad Masad's Replit Vision How the Replit founder is democratizing software creation with AI-powered coding environments

Andreas Stuhlmuller's Factored Cognition How the Elicit founder breaks complex AI reasoning into verifiable subtasks, enabling weaker models to reliably catch errors from stronger ones

Andrej Karpathy's AI-First Development How Andrej Karpathy builds software in the AI era: vibe coding for prototypes, three-layer workflow for production.

Armin Ronacher's Agentic Coding Practice How the Flask creator approaches AI-assisted development with Claude Code — token-efficient, low-intervention, and surprisingly Vim-friendly

Artur Piszek's WordPress Personal OS How a software engineer turned WordPress into a self-hosted personal operating system with AI-ready architecture

Auto-Activating Skills in Claude Code Configure skills to trigger automatically based on keywords, file patterns, and context instead of manual slash commands.

Bas Nijholt's Agentic Coding Journey How a quantum physicist at IonQ went from AI skeptic to shipping packages faster than ever with Claude Code

Boris Cherny's Parallel Agent Workflow How the creator of Claude Code runs 5+ AI sessions simultaneously with shared context and automated PR workflows

Brian Casel's Spec-Driven Development How a serial bootstrapper built Agent OS and Design OS to bring structure to AI-assisted coding workflows

Brian Christner's Human OS How a Docker Captain built a unified personal operating system using AI and MCP servers

Checkpointing - Safe Rollback for Agent Work How automatic checkpoints protect your work and let you recover from agent mistakes

Claude Code for Non-Developers How product managers, analysts, and writers use Claude Code without writing a single line of code

Craig Motlin's Autonomous Development Loop How a Two Sigma VP built a self-running Claude Code system with todo-driven automation and parallel worktrees

Custom Slash Commands Create reusable workflows triggered by /name in Claude Code

Customizing the Status Line Configure Claude Code's status line to display model, git status, tokens, and custom information

Daksh Gupta's Independent Code Review Thesis Why the Greptile founder believes AI that writes code should never be the same AI that reviews it

Dan Shipper's AI Journaling and Personal Development System How the Every CEO uses AI as a therapist, coach, and journaling partner—turning ChatGPT into a personalized second brain that knows his goals, relationships, and growth areas.

Daniel Miessler's Personal AI Infrastructure How a security veteran built Fabric and PAI to turn AI tools into a unified cognitive operating system

Daniel Vassallo's Small Bets: How to Build a Portfolio of Profitable Products Learn Daniel Vassallo's Small Bets philosophy: how he left a $500K Amazon job to make $1M+ with tiny products by embracing randomness and portfolio thinking.

David Shapiro's ACE Framework How an AI researcher designed a layered cognitive architecture for building autonomous personal AI systems

Elie Steinbock's Inbox Zero How the Israeli founder built Inbox Zero, an open-source AI email assistant with plain-English rules that hit #1 on GitHub and won Best AI at FOSS Awards

Ethan Mollick's Four Rules for AI in Knowledge Work Research-backed framework from Wharton professor on when and how to use AI for knowledge work, including the Jagged Frontier concept and practical prompting techniques.

Geoffrey Litt's Malleable Software Vision How a researcher at Ink & Switch and Notion is building toward software that users can reshape like clay

Git Worktrees for Parallel Agents Run multiple AI agents on the same codebase without conflicts using git worktrees

Hamel Husain's AI Evaluation Framework How the CodeSearchNet pioneer built a systematic approach to debugging AI products through structured evaluation

Harper Reed's LLM Codegen Workflow How the former Obama CTO structures AI-assisted development into brainstorm, plan, and execute phases

Hooks System in Claude Code Automate workflows with deterministic triggers that run shell commands at specific points in Claude Code's lifecycle.

Human-on-the-Loop Move from approving every AI action to supervising agents that act autonomously, escalating only when confidence drops or risk rises.

Ian Nuttall's Non-Technical AI Building A serial entrepreneur with 100+ exits shares his battle-tested Claude Code agents, session tracking, and parallel workflow tools

Jason Liu's Structured Output Methodology How the Instructor creator built tools that force LLMs to return validated, type-safe data

Jeffrey Emanuel's Agentic Coding Flywheel A former quant investor built 70+ open-source tools that let AI coding agents coordinate like a self-managing development team.

Jeremy Longshore's Claude Code Plugins Hub How an operations manager turned AI consultant built a 549-skill marketplace that turns plugins into production workflows

Jesse Vincent's Superpowers Skills Framework How the Keyboardio founder built an agentic skills methodology that turns Claude Code into a self-steering development system

John Lindquist's TypeScript Hooks for Claude Code How the egghead.io co-founder brings type safety to Claude Code automation after spending over 1 billion tokens on AI-assisted development

Kaushik Gopal's Agentic Flow State How the Fragmented podcast host and Instacart principal engineer runs parallel AI agents for hours using structured plans and tmux

Keep Claude Running for Hours Build autonomous development loops using todo files, hierarchical subagents, and context compaction to process task lists for hours without human input.

Kent C. Dodds' AI-Powered Developer Educator Workflow How the creator of Testing Library and Epic React uses ChatGPT, Copilot, and Cursor to teach hundreds of thousands of developers

LLM-as-Judge Evaluation Use LLMs to evaluate LLM outputs. Build reliable automated judges through critique shadowing and iterative calibration with domain experts.

Maggie Appleton's Digital Garden: Six Patterns for Building a Personal Knowledge System Learn Maggie Appleton's proven digital garden framework: topography over timelines, growth indicators, and evergreen notes for public learning.

Matt Shumer's Browser Agent Vision How the HyperWrite CEO is building AI that operates your browser like self-driving mode for the web

Max Woolf's Selective AI Approach The BuzzFeed data scientist builds AI tools while rarely using generative LLMs himself

Multi-Agent Content Pipeline with Claude Code Build autonomous content systems using Claude Code skills, semantic search, and chained agents

Multi-Agent Coordination: How to Run Three AI Agents Without Merge Conflicts The four-phase workflow for running parallel AI agents on the same codebase using tmux, git worktrees, and a shared AGENTS.md file.

Nat Eliason's AI Productivity Stack How the Growth Machine founder evolved from Roam Research to AI-powered systems for goals, writing, and personal knowledge

Nir Gazit's Open LLM Observability How the Traceloop founder built OpenLLMetry to bring OpenTelemetry standards to LLM applications

Paul Gauthier's Terminal-First AI Coding How the Inktomi co-founder built Aider, the open-source terminal tool that treats AI as a pair programmer instead of an autonomous agent

Peter Yang's AI Content System How a product lead interviews AI power users and builds systems for content creation at scale

Pieter Levels' Solo Business Approach How Pieter Levels built $3M+/year in solo revenue with AI coding, simple tech, and high failure tolerance.

Pixel NAS: Turn a 2016 Pixel into a Google Photos Upload Daemon Use an original Pixel as a tiny always-on inbox that syncs photos from other devices and uploads them to Google Photos.

Plan Mode in Claude Code Research before coding to avoid wrong approaches and hallucinations

Principles for AI Delegation What to delegate to AI and what to keep human

Quick Start: Pick Your Path Three ways to build a personal OS today. Choose based on your tools and comfort level: Claude Code for developers, GPT + Zapier for quick setup, or Gemini for Google users.

Ray Svitla's Context Obesity Framework How a network-state researcher reframes burnout as overloaded working memory and offers a systematic fix for AI-augmented workflows

Rick Hightower's Universal Skill Installer How a Fortune 100 AI architect built skilz, the package manager that installs agent skills across 14+ coding assistants

Riley Goodside's Prompt Engineering Patterns How the world's first Staff Prompt Engineer approaches LLM interaction as an experimental science

Russ Poldrack's Ten Rules for AI-Assisted Scientific Coding How a Stanford neuroscientist created a rigorous framework for using AI coding agents in research without sacrificing scientific integrity

Sahil Lavingia's AI-First Company How the Gumroad CEO runs a $10M ARR company with AI agents writing 41% of code commits, targeting 80%

Simon Willison's Workflow How the Django co-creator uses CLI tools, SQLite logging, and rapid prototyping to build an AI-powered workflow

Steve Korshakov's Build-Your-Own-AI-Stack Approach The Telegram engineer who runs LLMs locally, trains voice models in his basement, and wears an AI device to capture his thoughts. His rule: if you need an AI tool, build it yourself.

Steve Krouse's Val Town Platform How the Future of Coding creator built a social platform where AI can deploy JavaScript in 100 milliseconds

Subagent Patterns: Parallel, Sequential, Background Three dispatch patterns for delegating work to AI subagents and when to use each one.

Swyx's Learning in Public Why documenting your learning publicly creates more career opportunities than private study.

Takuya Matsuyama's AI-Powered Development Journaling How the Inkdrop creator uses Claude Code and MCP to automate development journals without interrupting flow state

Task Decomposition for AI Documentation Break documentation projects into discrete steps to get accurate, consistent output from AI tools instead of hallucinated garbage.

Teresa Torres's Claude Code Task System How the Continuous Discovery author built a personal operating system with Claude Code, Obsidian, and custom slash commands

Terminal-Native AI Coding: Neovim with Claude Code Run Claude Code alongside Neovim in split terminal panes. Keep your vim keybindings while getting AI assistance. No VS Code required.

The Skills System Create reusable AI capabilities with Claude Code skills

The Three-Layer Workflow Match your AI tool to the task: tab completion for most work, agents for multi-file changes, reasoning for architecture

Thomas Landgraf's Deep Knowledge Method How a 40-year veteran developer uses research-driven knowledge documents to turn Claude Code hallucinations into production-ready implementations

Tiago Forte's Second Brain + AI PARA and CODE methods with AI. What works, what doesn't, and where AI actually helps.

Tom Johnson's AI-Assisted Technical Writing Workflow How the technical writing veteran uses iterative prompting and task decomposition to double his documentation output at Google

Vibe Coding Building software through conversation instead of keystrokes

Voice-First Content Creation Replace typing with talking. Brain dump while walking, transcribe with AI, generate multiple versions, polish the best. From 2 hours to 30 minutes per piece.

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