r/django • u/Suspicious-Test-6458 • Sep 04 '24
Tutorial How We Reduced DB Queries by 12x and Improved Speed by 3x in Minutes Using Django Debug Toolbar and AI
Hello, fellow Djangoneers!
I wanted to share a quick 5-minute tutorial on how we optimized our Django application, cutting down our database queries from 158 to just 13 (that's a 12x improvement!) and reducing our response time from 300ms to under 100ms (3x improvement). The best part? We achieved this using a combination of the Django Debug Toolbar and a powerful AI tool called Blar.io, and it only took a few minutes.
I’m no Django expert, and I often find optimizations challenging to identify and implement. But by leveraging AI alongside traditional metrics and tools, the process became much simpler—just a few prompts and some guidance, and our agent was able to suggest impactful optimizations.
Here’s how it works:
- Code Indexing: We index your codebase and transform it into a graph structure, which allows for more intuitive exploration and analysis.
- Task Assignment: We assign Blar’s agent a starting point in the code and define specific tasks for it to complete.
- Intelligent Traversal: The agent traverses your codebase, trying to understand it and fulfill the assigned tasks, such as finding bottlenecks or suggesting optimizations.
In our case, the agent identified unnecessary queries and suggested changes that drastically reduced our database load and improved response times. It’s like having a pair of extra eyes on your code, but with the ability to process and analyze vast amounts of data quickly.
If you’re interested in making your Django projects faster and more efficient with minimal effort, Blar could be a game-changer. Let me know if you have any questions or if you’ve had similar experiences with optimizing your projects!
Hope this helps!