Founder of Baixing.com: My Fourteen Claude Code Usage Experiences

链捕手Publicado em 2026-06-08Última atualização em 2026-06-08

Resumo

Founder of Baixing.com Shares 14 Personal Tips for Using Claude Code The author outlines his personal, non-universal strategies for maximizing Claude Code. Key points include: focusing deeply on one primary tool (Claude Code) rather than constant comparison; mastering essential shortcuts for the editor and command line; utilizing voice input like HoldSpeak; starting projects with a structured PROJECT.md file; defaulting to Claude agents for most tasks; and leveraging integrations with GitHub and Cloudflare for build, deployment, and infrastructure. He emphasizes a clear separation between human and machine work: manually maintain a core CLAUDE.md file, and understand AI-generated content by asking the AI, not reading its raw code. Efficient communication involves dragging files (screenshots, audio, documents) directly into the interface. For knowledge management, he recommends a centralized, Git-synced memory system based on ~/.claude/CLAUDE.md to ensure permanence and avoid scattered project memories. Other practices include writing and continuously refining "Skills," using the expensive but reliable ultracode for complex dynamic workflows, and employing Git documentation as handoff points between agents. The overarching philosophy is to treat Claude Code like a horse (or a person) with its own pathfinding abilities—setting goals and boundaries rather than micromanaging every turn.

Author: Wang Jianshuo

A simple record of my experiences with Claude Code so far, purely personal exploration, not necessarily applicable to everyone.

1. Stick to one tool and use it heavily. I use Claude Code. I don't necessarily think it's better than Codex, but the ROI of comparing tools may not be high, even though talking about the differences in detail gives a false sense of achievement.

2. Remember the most important keyboard shortcuts. Control+G to open the editor, helpful for writing longer content; Control+A, Control+E, Control+U—these are very practical shortcuts for quickly moving the cursor in the command line. Although not new to the AI era, they are as important as Control+C and Control+V when using.

3. Use voice input. HoldSpeak is very helpful.

4. Start a project by writing a PROJECT.md, using a structured method to write down everything you think of at once.

5. Claude agents are the default mode.

6. Claude Code, github.com, and cloudflare.com are a perfect match. Hand over the build process, release process, and all domain-related operations to the infrastructure.

7. Separate what is written by humans and what is written by machines. Manually maintain the core CLAUDE.md. Don't read the .md files or code written by Claude Code. Let machines do machine things, humans do human things. Understand what AI writes by asking the AI; don't look at the source code.

8. Drag and drop files into the Claude Code window—audio, video, documents, screenshots. If you can't explain something clearly, use Command+Shift+5 to take a screenshot and drag it over—fastest method.

9. Reconstruct the memory system. Centered on ~/.claude/CLAUDE.md, categorize and reference multiple memory files. Require not using the project's memory, and place all memory files in git, synchronized to GitHub (private). This way, your memory is permanent and cumulative, not scattered across each project.

10. Write Skills, and at the end of each work session, ask Claude to "precipitate what was learned into Skills"—this can be done automatically.

11. Whenever possible, for complex tasks, use ultracode to trigger dynamic workflows. Although expensive and slow, the results are guaranteed.

12. Accumulate Skills along the way, and continuously refactor Skills. Skills need to be placed in git.

13. Use git documentation as the output of the previous task and the input of the next task. Let agents have clear handover documents, without relying on context for connection.

14. Treat Claude Code as a horse (or a person), not as a car. A car turns under your direct command, a horse has its own ideas; we only need to set goals and boundaries. Its autonomous pathfinding characteristic is a feature, not a bug.

Does anyone have more to add?

Perguntas relacionadas

QWhat is the most important shortcut mentioned by the author when using Claude Code?

AControl+G to open the editor, which helps in writing longer content. Also, shortcuts like Control+A, Control+E, and Control+U for quickly moving the cursor in the command line.

QHow should one handle the code and documentation written by AI versus by humans according to the article?

ASeparate human-written and machine-written content. Manually maintain the core CLAUDE.md file. For content written by Claude Code, one should understand it by asking the AI and not by reading the source code directly.

QWhat method does the author recommend for quickly providing context to Claude Code when explanations are unclear?

AUse Command+Shift+5 to take a screenshot and then drag and drop it into the Claude Code window. This works for audio, video, documents, and screenshots.

QHow should memory and skills be managed in Claude Code to ensure permanence and accumulation?

AStructure the memory system around ~/.claude/CLAUDE.md, categorically reference multiple memory files, avoid using project-specific memory, and store all memory files in a git repository (private on GitHub). Similarly, write and accumulate skills, store them in git, and have Claude automatically add learned content to skills after each work session.

QWhat is the author's preferred analogy for interacting with Claude Code and why?

AThe author prefers to think of Claude Code as a horse (or a person) rather than a car. A car turns under direct control, but a horse has its own ideas; the user only needs to set goals and boundaries. This autonomous pathfinding characteristic is a feature, not a bug.

Leituras Relacionadas

In Conversation with Ray Dalio: We Are Currently in an AI Bubble, with 1% of My Portfolio in Bitcoin

Ray Dalio, founder of Bridgewater Associates, warns in an interview that the current AI boom shows classic bubble characteristics, which could lead to significant economic downturns as seen in past cycles like 1929 or 2000. He explains that speculative enthusiasm, fueled by debt and overvaluation, often precedes a crash when rising rates or taxation force asset sales, causing widespread losses and recession. Dalio also outlines his "Big Cycle" theory, describing an approximate 80-year pattern where widening wealth gaps, massive government deficits, and shifting geopolitical power (like China's rise) create internal conflict and global instability. He emphasizes that we are in a late-cycle, transitional phase where traditional powers like the US and UK face decline. For personal wealth protection, Dalio advises diversification beyond cash into assets like stocks, bonds, real estate, and particularly gold, which he prefers over Bitcoin. While he holds about 1% of his portfolio in Bitcoin as a non-printable hard asset, he views gold as more secure from technological or governmental threats. Regarding AI's impact, Dalio believes it will disproportionately benefit capital owners, worsening inequality by replacing both physical and cognitive labor. He suggests that human intuition and emotional intelligence, combined with AI, will be key for future workers. On taxation, Dalio argues that wealth taxes are impractical and risk triggering asset sell-offs, reducing productive investment. He points to the UK as a cautionary example of debt, low productivity, and political strife. Geopolitically, Dalio foresees a more regionalized world, with the US showing weakness in prolonged conflicts like with Iran, akin to past imperial declines. The ideal outcome, he suggests, is coexisting powerful blocs (e.g., Americas, China-Asia Pacific) without major war.

marsbitHá 2h

In Conversation with Ray Dalio: We Are Currently in an AI Bubble, with 1% of My Portfolio in Bitcoin

marsbitHá 2h

Daily 7.2 Trillion KRW: Foreign Capital's Record Net Buying on Friday! Wall Street Says Headwinds for Korean Stock Fund Flows Have Subsided

South Korean stock market sees a dramatic shift in fund flows. On July 31, foreign investors made a record net purchase of approximately KRW 7.2 trillion in KOSPI stocks, marking a fundamental reversal from the persistent large-scale net outflows seen in previous months. This contributed to a significant narrowing of foreign net selling in July to KRW 9.8 trillion, down sharply from KRW 48.4 trillion in June and KRW 44.5 trillion in May. Simultaneously, domestic institutional pressure eased. South Korean pension funds and asset managers turned to a net buying position in July, purchasing KRW 1.0 trillion worth of KOSPI shares, contrasting with net sales in May and June. Market volatility is expected to be dampened by new financial regulations. Effective July 31, the Financial Services Commission tightened access for retail investors to single-stock leveraged ETFs by raising the minimum cash deposit requirement. Trading volumes for these products subsequently dropped to about 50% of their monthly average. Citigroup Research maintains its year-end KOSPI target of 10,000 points. The firm cites several supportive factors: the substantial easing of headwinds from capital outflows, a robust fundamental outlook for the semiconductor sector, historically low market valuations, strong economic fundamentals, and the potential for policy support from financial authorities if needed.

marsbitHá 2h

Daily 7.2 Trillion KRW: Foreign Capital's Record Net Buying on Friday! Wall Street Says Headwinds for Korean Stock Fund Flows Have Subsided

marsbitHá 2h

Thanks to Dice Rolls, Bitcoin Keys Are Stored Offline, But Not Everyone Will Do It

The article discusses using dice rolls to generate secure Bitcoin wallet seeds, providing entropy independent of potentially flawed hardware random number generators. It explains that each fair dice roll offers about 2.585 bits of entropy, with around 50 rolls needed for a standard 12-word seed phrase and 99+ recommended for higher security. This method gained attention after a vulnerability was revealed in some Coldcard hardware wallets, where a faulty firmware RNG (dating back to 2021) compromised generated keys. The analysis notes that while a dice-generated main seed was safe from this specific flaw, other Coldcard functions (like creating paper wallets, backup keys, or passwords) could still be vulnerable if they used the defective RNG. The piece argues that while dice-based entropy is technically robust, the manual process is error-prone, tedious, and unrealistic for most new users, who might make mistakes in recording or inputting rolls. It concludes that while manual entropy generation should remain an option for advanced users, the long-term goal is to develop reliable, user-friendly hardware and software that securely generates randomness without requiring specialized knowledge. Coldcard users are advised to check their firmware version and replace any secondary secrets (like paper wallet keys) created with vulnerable devices, while also considering multi-signature setups with devices from different manufacturers for added security.

cryptonews.ruHá 7h

Thanks to Dice Rolls, Bitcoin Keys Are Stored Offline, But Not Everyone Will Do It

cryptonews.ruHá 7h

Trading

Spot
活动图片