by gergely-orosz
Software engineering is undergoing a printing-press moment: coding as a gatekept craft is dissolving, generalists who ship prototypes and adapt weekly to new model capabilities will define the next era.
by gergely-orosz
Programming language choice matters more in the AI era, not less — AI code generation quality varies dramatically by target language, and the runtime tradeoffs a language imposes don't disappear just because a machine writes the code.
by lenny-rachitsky
Coding is a solved problem — the bottleneck shifts to taste, product sense, and deciding what to build. Boris Cherny makes the case that underfunding teams, betting on general models, and building for the model six months out is how you win.
by sarah-perez
Spotify's best engineers stopped writing code entirely — their internal 'Honk' system built on Claude Code lets them ship features from Slack on their phones, signaling that AI coding has crossed from experiment to default workflow at scale.
by steve-yegge
AI's 10x productivity boost creates a value capture war between employers and employees — and without deliberate pushback, the vampire drains everyone. The new workday is 3-4 hours.
by every-inc
Engineering work should make future work easier, not harder—this plugin inverts the technical debt spiral by investing 80% in planning and review so each cycle compounds reusable patterns.
by simon-willison
AI tools create compulsive task-stacking rather than reducing workload — employees run manual and AI-generated work in parallel, producing exhausting intensity that organizations mistake for productivity.
by catalin-pit
Slash commands turn repetitive AI prompts into reusable, instantly-triggerable shortcuts—store them once, invoke them forever across Claude Code, Cursor, Gemini, and Codex.
by boris-cherny
Productivity with Claude Code comes from parallel worktrees, plan-first workflows, self-evolving CLAUDE.md files, and skills—multiply your throughput by running more concurrent sessions.
by steve-yegge, gene-kim
IDEs and single-agent tools like Claude Code are transitional—the future belongs to swarms of specialized agents, CNC-style automation, and leaders who code their own solutions.
by agentic-lab
Slash commands evolve from saved prompts to full orchestration platforms—most users stop at level one, but level six treats Claude as an architect that spawns specialized subagents with domain skills.
by anthropic
AI's productivity gains shrink dramatically when you account for task reliability—Anthropic's new 'economic primitives' reveal that complex tasks show greater speedup but lower success rates, and AI disproportionately affects higher-skilled work.
by geoffrey-huntley
Coding agents are just 300 lines of code running in a loop—demystifying AI tooling reveals that the model does the heavy lifting, and understanding these primitives transforms you from AI consumer to AI producer.
by artem-zhutov
The real differentiator for Claude Code mastery isn't more tools or skills—it's building feedback loops that analyze your own conversations for friction points and storing all your personal context where the agent can act on it.
by vishwas-gopinath
CLAUDE.md files persist project-specific instructions across Claude sessions, eliminating repetitive context-setting and maximizing setup leverage.
by teltam
AI models can handle routine tasks, but developers must retain ownership of critical thinking—effective Claude Code usage requires intentional context management, strategic prompting, and robust testing infrastructure.
by indydevdan
Thread-based engineering provides a mental framework for measuring improvement with AI agents—scale by running more threads, longer threads, thicker threads, and fewer human checkpoints.
by nate-b-jones
AI loops can now automate classification, routing, and surfacing of thoughts without user effort—making 2026 the first year non-engineers can build reliable second brain systems.
by chase-adams
A structured Obsidian vault with numeric folder prefixes, tag taxonomies, and Claude Code integration transforms a note-taking app into a holistic life operating system.
by geoffrey-huntley
AI's perceived ineffectiveness stems from insufficient deliberate practice, not fundamental limitations—mastery requires the same intentional experimentation as learning a musical instrument.
by developers-digest
Claude Code can become a self-correcting system by capturing mistakes in CLAUDE.md—each error becomes a permanent lesson that compounds over time.
by christina-marfice
Speed is Superhuman's core feature. Every interaction under 100ms feels instantaneous, and the product achieves this through local caching, preloading, and keyboard-first design.
by tiago-forte
A methodology for capturing, organizing, and retrieving digital information using the CODE framework and PARA organization system.
Resources for mastering Claude Code - from daily tips to advanced customization
by karlos
A walkthrough of Steph Ango's minimalist note-taking system in Obsidian, emphasizing flat folder structures, heavy linking, and properties over hierarchy.
by darin-suthapong
Obsidian Base is a single-vault database for filtering and viewing notes by properties, bridging reflection and action-oriented workflows.
by zsolt-viczian
Zsolt Viczián demonstrates his new Mind Map Builder script for Obsidian Excalidraw, enabling rapid visual thinking with keyboard navigation, markdown interoperability, and flexible layout controls.
by strangest-loop
Genuine accomplishment requires direct action—preparation, planning, and talking about goals are not substitutes for execution.
by aicodeking
Vibe Kanban is an open-source tool that lets you orchestrate multiple AI coding agents from a visual Kanban board, treating coding tasks as asynchronous jobs rather than blocking conversations.
by ado-kukic
A comprehensive guide compiling 31 daily Claude Code tips, progressing from foundational concepts to advanced patterns like subagents, skills, and SDK usage.
by dhh, lex-fridman
DHH shares his unconventional path to programming, defends the simplicity of 90s web development, explains Rails 8's 'no build' philosophy, and argues against treating open source as a crisis requiring more funding.
by steph-ango
Steph Ango's personal note-taking system emphasizes file-based storage, minimal folder hierarchy, and emergent organization through linking rather than rigid structure.
by james-clear, steven-bartlett
James Clear shares practical strategies for building lasting habits, including frameworks for decision-making, environment design, and why mastering the art of getting started matters more than the habit itself.
by joe-rogan
Naval shares his principles for building wealth without getting lucky, finding happiness as a skill, and why the future of work means everyone becomes an entrepreneur.
by jesse-vincent
A skills library for Claude Code that provides structured workflows for AI-assisted development, including brainstorming, implementation planning, TDD, and debugging.
by carl-assmann
A personal CRM app that helps you remember details about friends and nudges you to follow up on meaningful conversations.
by alexander-opalic
A comprehensive breakdown of Claude Code's extensibility layers—MCP servers, CLAUDE.md files, slash commands, subagents, hooks, and skills—explaining when to use each component.
by jim-rohn
Jim Rohn's practical framework for building wealth and happiness through seven disciplines: goal-setting, learning, change, financial control, time mastery, relationships, and living well.
by alex-colvin
How to build a skill that searches past Claude Code conversations to find solutions to previously solved problems, leveraging the JSONL conversation history stored locally.
by andrej-karpathy
Andrej Karpathy's practical guide to using LLMs effectively: understanding them as lossy internet zip files, managing token windows, selecting models across providers, and leveraging thinking models for complex problems.
by steph-ango
Community-sourced patterns for combining Obsidian vaults with Claude Code: master context files, batch editing, backlink discovery, and metadata management.
by james-clear
A practical framework for building good habits and breaking bad ones through tiny changes that compound into remarkable results over time.
by prize-individual4729
A community-sourced collection of Claude Code tips covering skills-based workflows, spec-driven development, git worktrees, and autonomous coding sessions.
by sascha-fast
An analysis of how Building a Second Brain (BASB) and the Zettelkasten Method address different parts of the knowledge value chain, and how combining both systems maximizes knowledge productivity.
A curated guide to optimizing AI-assisted development workflows with Claude Code
by humanlayer-team
Techniques for reducing context window waste in AI coding agents by suppressing verbose output from tests and builds, showing full details only on failure.
by microsoft
A systematic approach to providing AI agents with targeted project information through custom instructions, planning agents, and structured workflows to improve code generation quality.
by sonke-ahrens
A guide to the Zettelkasten (slip-box) method for capturing, connecting, and synthesizing ideas into quality writing and deeper understanding.
by geoffrey-huntley
A Bash loop technique ('Ralph') that feeds prompts to AI coding agents repeatedly, enabling autonomous project development with iterative refinement.
by andrew-huberman
Andrew Huberman explains the neuroscience behind goal setting and achievement, revealing that one neural circuit governs all goal pursuit and providing four science-based protocols for effective goal execution.
by humanlayer-team
Guidelines for crafting an effective CLAUDE.md file, emphasizing brevity, universal applicability, and progressive disclosure to maximize Claude Code's instruction-following capacity.
by peter-steinberger
Output speed now bottlenecks on inference time, not developer skill—the game shifts from writing code to orchestrating agents, selecting stacks for AI friendliness, and maintaining project documentation that persists across sessions.
by anthropic
AI coding assistants boost productivity dramatically but create a supervision paradox: effectively overseeing AI requires the deep technical skills that may erode from overreliance.
by mauricio-gomes
Using CLAUDE.md to give Claude Code persistent context about your personal knowledge base, preferences, and workflows.
by simon-willison
Effective LLM-assisted programming demands deliberate skills—context management, authoritarian specifications, and rigorous testing—that amplify expertise rather than replace it.
by cal-newport
Focused, distraction-free work produces elite results—master it through deliberate practice and strict routines.
by kent-beck
Kent Beck argues that AI has devalued 90% of traditional skills while giving the remaining 10% a 1000x leverage boost.