As a developer, AI coding assistants have become an essential part of my workflow - whether it's writing code, debugging, or optimizing logic. I've relied heavily on tools like Codium and ChatGPT, which have been instrumental in enhancing productivity.
Recently, I decided to put DeepSeek AI to the test, using my usual evaluation method: real-world coding tasks, including refactoring, logic corrections, and React Native improvements. I even challenged it with a complex Redux bug, where clearing the user's state was crashing the app. How did it perform compared to my go-to, ChatGPT? Let's dive in! 🔍
📝 Handling Standard Coding Tasks
ChatGPT:
✅ Delivered structured responses with concise explanations.
✅ Used modern ES6+ features for better readability.
✅ Ensured immutability where required.
DeepSeek AI:
❌ Provided a functional response but lacked code organization.
❌ Less emphasis on readability and best practices.
❌ Maintained much of the original structure without significant improvements.
🔥 Tackling a Complex Redux Bug
ChatGPT:
❌ Identified the issue and suggested a fix, but responses were more verbose.
❌ Provided additional explanations - helpful for learning but not strictly necessary.
❌ Suggested a similar solution but didn't highlight Immer's role in Redux Toolkit as clearly as DeepSeek AI.
DeepSeek AI:
✅ Quickly pinpointed the issue - improper state handling in the reducer.
✅ Offered a clear, concise fix and explained potential issues.
✅ Suggested using Object.assign and delete for safer state mutations.
✅ Response was detailed, actionable, and straight to the point.
⚖️ DeepSeek AI vs. ChatGPT: Strengths & Weaknesses
🔹 DeepSeek AI
✔️ Strengths: Concise, highly practical, and solution-focused. It understood the problem's context well and delivered an efficient fix.
❌ Weaknesses: Lacked in-depth explanations, which might be a downside for those who want to learn the underlying concepts.
🔹 ChatGPT
✔️ Strengths: Great for learning! Its detailed responses provide valuable insights into why a solution works.
❌ Weaknesses: Sometimes overly verbose, making it harder to extract the exact solution quickly.
🏆 My Verdict
For me, ChatGPT wins because of its detailed explanations, making it the best for learning, deep diving into solutions, and truly understanding problems. DeepSeek AI is promising, but it still needs time to evolve and refine its precision. That said, it's clearly in the race and could disrupt the competition at any moment.
💡 DeepSeek's Game-Changing AI Approach
DeepSeek isn't just about coding - it's shaking up AI computing and even challenging Nvidia.
Here's how they trained a model matching GPT-4 and Claude for just $5M (vs. the usual $100M+):
🔹 Smarter Math - Reduced memory usage by 75% using 8-bit precision without sacrificing accuracy.
🔹 Faster Reading - Processes entire phrases instead of one word at a time, making it twice as fast while keeping 90% accuracy.
🔹 Expert System - Activates only the relevant AI parameters, running smaller, task-specific models - cutting compute costs by 95%.
⚠️ A Nightmare for Nvidia?
Nvidia makes billions selling $40K AI chips with huge profit margins. Until now, companies had no choice but to buy thousands of them. But DeepSeek's breakthroughs mean high-end AI can run efficiently on fewer GPUs - or even standard gaming cards. If this trend continues, Nvidia's AI hardware dominance is at risk.
🔥 Final Thoughts
Both DeepSeek AI and ChatGPT are powerful, but they serve different purposes.
✅ For quick, no-fluff coding solutions: DeepSeek AI is a strong contender.
✅ For in-depth learning and problem-solving: ChatGPT remains my top choice.
AI is evolving fast - who do you think will dominate? Let's discuss! 👇
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