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

链捕手Publicado a 2026-06-08Actualizado a 2026-06-08

Resumen

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?

Preguntas 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.

Lecturas Relacionadas

Podcast Notes | Conversation with GSR Asset Management Head: To Determine if This Crypto Rally is Real, Just Watch the Lending Rates on Aave

Podcast Summary: Dialogue with GSR's Head of Asset Management: To Determine if This Crypto Rally is Real, Just Check Lending Rates on Aave Andy Baehr, Managing Director of Asset Management at GSR, discusses the current crypto market, characterizing it as stuck in a state of "ambivalence" with short-lived, unsustainable rallies. He outlines a simple framework: the market moves between "ambivalence" and "conviction" (sustained upward momentum). Currently, every rally resembles a single-stage rocket booster that quickly fizzles out. Baehr identifies three key signals to watch: 1) DeFi lending rates, 2) the potential passage of the CLARITY Act, and 3) the market forming a consensus on the "Fed hawkish peak." He emphasizes that the most immediate indicator for the sustainability of the recent CPI-triggered rally is the USDC borrowing rate on Aave, currently around 3.75%—close to U.S. Treasury yields. The absence of a credit spread indicates low leverage demand and a lack of market energy. He explains that a healthy, sustained rally requires layered buying pressure. Last year's rally progressed from an ETH short squeeze to crypto-native trader influx and finally to ETF inflows. Currently, this structure is missing. Other potential structural buyers like Digital Asset Treasury (DAT) companies are absent, and ETF flows have proven transient. Baehr notes that while small-cap crypto tokens outperformed large caps in Q2—a potential sign of capitation in major assets—capital is also flowing to more exciting opportunities like AI stocks and tech IPOs, leaving crypto sidelined. Regarding DeFi, he highlights that platforms like Aave provide a clear, real-time signal of leverage demand through their supply/demand-driven interest rates. A significant, sustained rate increase would signal genuine market conviction. He also observes the quiet emergence of fixed-income-like products and vaults in DeFi. On regulation, the probability of the CLARITY Act passing before the August 7th deadline has dropped linearly from 75% to below 40% on Polymarket. Baehr suggests its passage would be treated as a bullish surprise, a potent driver for price movement. However, political hurdles, including ethical clause debates and disclosures about the First Family's crypto profits, remain significant obstacles. Ultimately, the market awaits clarity on the Fed's terminal rate under Chair Warsh. Until the "Fed Solstice"—the point where the market collectively understands the peak of hawkish policy—sustained conviction will be difficult to achieve.

marsbitHace 27 min(s)

Podcast Notes | Conversation with GSR Asset Management Head: To Determine if This Crypto Rally is Real, Just Watch the Lending Rates on Aave

marsbitHace 27 min(s)

7 Months After the Collapse of Huiwang, Southeast Asia's Escrow Platforms Undergo a Major Reshuffle

Following the collapse of Huione Pay—dubbed the "Alipay of Southeast Asia"—seven months ago, the region's underground financial guarantee platform sector is undergoing a significant reshuffle. This power vacuum has been swiftly filled by emerging platforms such as XinBi, Tiger/Navigator, JinBei (renamed JinBo), Dali/Tiancheng, and FullyLight. These platforms, operating largely via Telegram and offering services like escrow for illicit transactions, have absorbed the vast user base and markets left behind by Huione. While positioning themselves as "trust intermediaries," their primary clientele consists of networks involved in online scams, money laundering, illegal gambling, and even human trafficking. For instance, the Tiger/Navigator platform explicitly provides "escrow" services for kidnapping-for-ransom operations ("强押车交易"). Data underscores the immense scale: Huione alone processed over $103 billion in cryptocurrency payments and facilitated over $31 billion through its escrow market before its downfall, linking it to Cambodia's notorious Prince Group. Since its collapse, competitors have seen explosive growth. For example, the XinBi platform has accumulated over $1.6 billion in total USDT revenue, while platforms like NewPay, OkPay (under Dali), and FullyLight Wallet collectively processed over $4.8 billion in USDT in a single year. This ecosystem thrives in regions like Cambodia and Myanmar, where regulatory gaps allow these platforms to act as critical financial infrastructure for sprawling cybercrime industries, from scam compounds to online casinos. The article concludes that the moniker "Southeast Asian Alipay" is a misnomer, obscuring the platforms' fundamental role in enabling serious criminal enterprises rather than representing legitimate financial innovation.

Odaily星球日报Hace 1 hora(s)

7 Months After the Collapse of Huiwang, Southeast Asia's Escrow Platforms Undergo a Major Reshuffle

Odaily星球日报Hace 1 hora(s)

Trading

Spot
活动图片