Increased Coverage & Accuracy Of Application from 0% to 99% with ClaudeAI, DeepSeekR1, LLAMA, QWEN2.5-Coder & Chatgpt wihtout writing single line of code by myself
This video explains how to :
1. Analyze the coverage with current state of the project with pytest-cov
2. Identify the areas where the coverage is low/high/missing
3. Figure out the reason for low coverage & How to increase the coverage
4. Use Artificial Intelligence tools/platforms to increase the coverage
5. Comparison between DEEPSEEKR1 and CLAUDEAI with statistics like which one helps to increase coverage more
ClaudeAI & DeepSeekR1 : Increased Accuracy/Coverage from 92% to 99% GitHub Repo in Less than 7 mins
https://youtu.be/UoY6cR8KgCw
ClaudeAI & DeepSeekR1 : Increased Accuracy/Coverage from 48% to 92% GitHub Repo in Less than 10 mins
https://youtu.be/S-f4vnt0NWs
DeepSeekR1 & LLAMA AI Tools : Increased Accuracy/Coverage Of AI Generated Code from 56% to 79%
https://youtu.be/pBpXBFIb6pE
Analyze Accuracy/Coverage Of AI Generated Code then Increase Accuracy/Coverage for Application
https://youtu.be/KURxHAY54VM
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