Milestone #6: Analytics & Data Intelligence! 📊🧬
Artificial Life Simulator just got its own “Control Center”. Now, we don’t just watch creatures move, but analyze their behavior in real time through statistical data.
What I added:
Real-time Analytics Dashboard: I added a dynamic information panel that tracks the number of Preys, Predators and the current day/night status.
Population Dynamics Graph: I integrated a visual history graph (Prey vs Predator history). Now you can visually see their life cycle and the Lotka-Volterra phenomenon unfolding before your eyes.
Stability & Debugging: With the new statistics, monitoring the average speed of Preys allows for precise control of the evolution of the species. We now have the tools to see if an ecosystem is headed for collapse or prosperity.
Comments 3
are you using ai? this looks complex and i dont think it took 15 minutes..
are you using ai? this looks complex and i dont think it took 15 minutes..
I used AI as a development assistant, similar to how developers use documentation or Stack Overflow. AI helped me brainstorm features, explain algorithms, debug issues, and occasionally suggest code structure improvements.
I also used Gemini for some coding assistance during Milestone #2 and Milestone #6, primarily for troubleshooting, implementation guidance, and debugging specific features.
All core implementation, integration, testing, balancing, and design decisions were done by me. The simulation architecture, ecosystem mechanics, DNA system, predator/prey behavior, day-night cycle, decomposition system, analytics dashboard, and overall project direction were built and iterated on by me.
The logged time on each devlog represents the time spent on that specific milestone, not the total project development time. Many milestones build on code and systems created in previous sessions.
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