Videos

• Delete your CLAUDE.md (and your AGENT.md too)

  KELVIN'S PICK

  Verbose instruction files dilute critical guardrails by burying them in noise that LLMs ignore

  Keep CLAUDE.md minimal with only universally applicable instructions. Most generated content is obvious from reading code itself. LLMs can follow approximately 150-200 instructions consistently, so verbose files waste that budget on redundant information.

• OpenClaw Creator Peter Steinberger's advice for developers

  Learn how elite developers iterate with AI agents to ship at unprecedented velocity

  Be playful and expect to learn incrementally like mastering guitar. Your role shifts to architect and editor. Ship code without reading it. Parallelize work across multiple agents. Exploration beats planning when building with agents.

• The Powerful Alternative To Fine-Tuning

  Prompt engineering achieves comparable results to fine-tuning without expensive training data or compute

  Prompt engineering, retrieval-augmented generation, and prompt tuning provide flexible alternatives to fine-tuning. Prompt engineering offers zero computational cost, rapid prototyping, and multi-task capability. Fine-tuning still wins on highly specialized tasks requiring permanent model adaptation.

• 4 Skills I'm Learning that AI Can't Replace (backed by data)

  Intentional skill development builds resilience against AI automation and maintains cognitive independence

  The Cockpit Rule teaches when to delegate to AI versus collaborate. Storytelling turns data into narratives that move people. Strategic communication frameworks amplify impact. Finally, deliberately avoiding AI for certain tasks preserves critical thinking ability.

• When open-sourcing your code goes wrong...

  Public code directly reflects on project credibility and team competence

  Open-sourcing requires proper packaging, testing, and documentation. Releasing broken or unmaintainable code creates lasting negative impressions that extend far beyond the technical artifacts themselves.

• Only extreme programmers will survive

  Extreme Programming disciplines separate elite developers by demanding rigorous mastery of core techniques

  Extreme Programming demands test-driven development, pair programming, relentless refactoring, and code simplicity. These core practices require discipline and mastery that most developers never achieve, making them competitive differentiators.

• A computer for every agent

  Autonomous agents in sandboxed environments enable independent task completion without human intervention

  Agents operating in isolated, dedicated computing environments can interact with UIs, navigate applications, and complete full workflows independently. This infrastructure enables true autonomy beyond prompt-response interaction.

• Cursor now shows you demos, not diffs

  Visual demonstrations of working features are more effective than diffs for reviewing agent-generated code

  Agents use their own computers to build, test, and demo features end-to-end. Rather than reviewing traditional diffs, developers see working implementations that demonstrate functionality before changes are applied.