π€ I Compared ChatGPT, Gemini, Claude, and DeepSeek for Coding β Here's What Surprised Me
As a developer, Iβm 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 hereβs my breakdown of what each one did well (and not so well).
π§ 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
π 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
π€ 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 βcode aggressiveβ than ChatGPT or DeepSeek
Best for: Reading through long logs, refactoring, understanding legacy code
π§ 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 βroboticβ β less conversational
- Not as reliable on complex or edge-case logic
Best for: Auto-generating simple functions, code completions, fast experimentation
βοΈ TL;DR: Which AI Should You Use?
AI Tool | Best For | Rating |
---|---|---|
ChatGPT | Fullstack coding, deep context | βββββ |
Gemini | Research + documentation | βββ |
Claude | Reading + summarizing large code | ββββ |
DeepSeek | Quick code generation | βββ |
π¬ 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 π Let's compare experiences!
π Follow me for more developer tool breakdowns, frontend architecture tips, and real-world dev experiments.
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