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ChatGPT in Crypto Wallet Startups: An Extra Dev and Tech Writer

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4 min read
published on June 13, 2025

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ChatGPT in Crypto Wallet Startups: An Extra Dev and Tech Writer

Small crypto wallet teams work fast. A founder told Twitter that ChatGPT drafts every user guide, writes error text, and reviews smart contracts. With just three people the team feels like it has one more junior dev and one tech writer on call. This story shows how today’s AI tools fill two big needs at once.

Why a Wallet Team Leans on ChatGPT

The core jobs are writing Solidity, checking every line, and explaining features to users. Each job takes hours. ChatGPT cuts that time. It can spot missing checks in a contract, suggest unit tests, and push clear docs in one prompt. GitHub’s chief said AI now drops the entry bar for coding and lets tiny teams build bigger work .

Proof that Developers Already Rely on AI

The 2024 Stack Overflow survey found ChatGPT is the top AI tool. Seventy‑four percent of devs plan to keep using it next year . A GitHub study puts enterprise use of generative code tools at ninety‑seven percent .

flowchart TD A[Feature idea] --> B[Prompt ChatGPT] B --> C[Draft guide and errors] C --> D[Founder edits] D --> E[Push to repo]

Smart Contract Review in Four Simple Steps

A solid process keeps risk low.

flowchart TD S[Write Solidity] --> P[Prompt ChatGPT for review] P --> T[Generate unit tests] T --> M[Manual check by lead dev] M --> D[Deploy]
  • Prompt scope – share only the needed code block.
  • Ask for threats – integer overflow, re‑entrancy, gas waste.
  • Request tests – ChatGPT writes quick checks.
  • Keep a human gate – ship only after a senior dev signs off.

Infura and other dev blogs give step‑by‑step tips on smart contract prompts . Cointelegraph lists more daily tasks AI can cover, from audit notes to community posts .

Cost and Time Math

flowchart TD N[No AI
14 dev days] --> R[Release] W[With ChatGPT
7 dev days
≈ $40 in tokens] --> R

Actual numbers shift per team, yet cutting one week of a dev salary saves far more than token spend. Most wallet teams run daily chats inside a CI job so each push gets a fast check.

Risk Checks

flowchart TD I[Identify task] --> L[Log prompt] L --> C[ChatGPT output] C --> V[Verify with tests] V --> S[Ship]

Keep every prompt and answer in version control. Run linter and static tools first so ChatGPT sees cleaner input. Never skip unit tests. If the model’s answer feels odd, rerun with a tighter prompt or a smaller code slice.

Best Practice Checklist

  1. Start with non‑important text such as error strings.
  2. Build a shared prompt file so every dev reuses good queries.
  3. Merge ChatGPT answers only through pull requests.
  4. Track time saved per sprint to measure return.
  5. Rotate model updates to the latest release each quarter.

End

ChatGPT is not magic. Yet in a three‑person blockchain startup it feels like one more pair of hands. Use it for both code review and docs, keep a human gate, and you gain speed without losing trust.

Frequently Asked Questions

1. Is ChatGPT safe for final smart‑contract audits?

No. It helps spot issues but a human audit is still required.

2. How much does a month of token use cost?

Most tiny teams spend under US $100 in a busy month.

3. Which model version should a team pick?

Use the latest stable GPT‑4‑class model for code tasks.

4. What data should never be shared with ChatGPT?

Private keys, client info, and any NDA text.

5. Does ChatGPT replace unit tests?

No. It can draft tests but human review and CI must run them.

6. Can it create full user guides from zero?

Yes. Prompt it with feature list and tone guide, then edit.

7. Will using AI hurt code style consistency?

Not if you feed the model a style guide and enforce lint rules.

About The Author

Ayodesk Publishing Team led by Eugene Mi

Ayodesk Publishing Team led by Eugene Mi

Expert editorial collective at Ayodesk, directed by Eugene Mi, a seasoned software industry professional with deep expertise in AI and business automation. We create content that empowers businesses to harness AI technologies for competitive advantage and operational transformation.