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Samir Tahiri
Samir Tahiri

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I Compared ChatGPT, Gemini, Claude, and DeepSeek for Coding – Here's What Surprised Me

πŸ€– I Compared ChatGPT, Gemini, Claude, and DeepSeek for Coding – Here's What Surprised Me

As a developer, I’m constantly experimenting with tools to speed up my workflow β€” and lately, that includes a lot of AI assistants.

So I tested ChatGPT, Gemini, Claude, and DeepSeek for real-world dev tasks β€” from debugging to generating code β€” and here’s my breakdown of what each one did well (and not so well).


🧠 1. ChatGPT (GPT-4 / GPT-4o)

Strengths:

  • Consistently the most accurate for code generation
  • Great at understanding context, even across multiple prompts
  • Plugins & GPTs are useful for docs, UI, testing, etc.
  • GPT-4o is fast, smart, and feels conversational

Weaknesses:

  • Needs very specific prompts for edge cases
  • Code explanations can get verbose

Best for: Fullstack devs, code refactoring, architecture advice


🌐 2. Gemini (by Google)

Strengths:

  • Clean UI, integrated into Google ecosystem
  • Surprisingly good at Google search + dev combo tasks
  • Works well inside Docs, Gmail, and other Google tools

Weaknesses:

  • Can hallucinate or guess answers
  • Sometimes gives confident but incorrect code
  • Fewer dev-specific formatting features

Best for: Research-heavy tasks, documentation help


πŸ€– 3. Claude (by Anthropic)

Strengths:

  • Super long context window β€” great for pasting entire files
  • Responses feel thoughtful, structured, and logical
  • Great with explanations and summarizing

Weaknesses:

  • Sometimes hesitates with full code solutions
  • Less β€œcode aggressive” than ChatGPT or DeepSeek

Best for: Reading through long logs, refactoring, understanding legacy code


πŸ”§ 4. DeepSeek (Open Source-ish Dev AI)

Strengths:

  • Trained specifically for coding tasks
  • Faster and more aggressive than other open-source tools
  • Lightweight, solid performance for common patterns

Weaknesses:

  • Feels β€œrobotic” β€” less conversational
  • Not as reliable on complex or edge-case logic

Best for: Auto-generating simple functions, code completions, fast experimentation


βš”οΈ TL;DR: Which AI Should You Use?

AI Tool Best For Rating
ChatGPT Fullstack coding, deep context ⭐⭐⭐⭐⭐
Gemini Research + documentation ⭐⭐⭐
Claude Reading + summarizing large code ⭐⭐⭐⭐
DeepSeek Quick code generation ⭐⭐⭐

πŸ’¬ What Do You Think?

Have you tried these tools as a developer?

Which AI do you trust most for real coding work β€” and why?

Drop your thoughts in the comments πŸ‘‡ Let's compare experiences!


πŸ‘‰ Follow me for more developer tool breakdowns, frontend architecture tips, and real-world dev experiments.

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