How to Use DeepSeek for Coding in Hong Kong (Step-by-Step)
DeepSeek is an open-weight AI model that punches well above its weight class on coding and math benchmarks. For developers in Hong Kong, it's now accessible directly through FreeGPT — no VPN required. Here's how to get the most out of it.
Why DeepSeek is great for coding
- →Strong performance on HumanEval and coding benchmarks
- →Excellent at algorithmic reasoning and step-by-step problem solving
- →Handles Python, JavaScript, TypeScript, Go, Rust, and more
- →Good at explaining code in plain language
- →Open-weight model — transparent and well-documented
Use case 1: Code generation
- 1.Open FreeGPT and select DeepSeek.
- 2.Describe what you want to build: "Write a Python function that parses a CSV file and returns a list of dicts."
- 3.Review the output and ask for explanations of any part you don't understand.
- 4.Ask DeepSeek to add error handling or edge case coverage.
- 5.Request unit tests for the function.
Use case 2: Debugging
- 1.Paste your code and the error message into FreeGPT.
- 2.Ask: "What is causing this error and how do I fix it?"
- 3.Ask DeepSeek to explain why the bug occurred.
- 4.Request a corrected version of the code.
Use case 3: Code review
Paste a function or module and ask DeepSeek to review it for correctness, performance, and readability. It will suggest improvements and explain the reasoning.
DeepSeek vs Claude for coding
DeepSeek excels at algorithmic and math-heavy problems. Claude is better for code that requires nuanced reasoning, documentation, or architectural decisions. Use both via Model Arena to compare answers side-by-side.
Tips for better coding prompts
- →Always specify the programming language
- →Include the full error message when debugging
- →Provide context: "This is a Next.js API route that..."
- →Ask for explanations, not just code
- →Request tests alongside the implementation
Try DeepSeek for your next coding problem — free, no VPN needed.
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