Antigravity

The inspiration for Project ANTIGRAVITY stemmed from the growing friction between human intent and digital execution. In a world of "distributed AI agents," I noticed a persistent inefficiency: the "touch-time" required for a human to bridge the gap between identifying a problem and deploying a solution. I wanted to build a system that felt weightless—hence the name—where software doesn't just assist but independently "detects real-world inefficiencies and independently builds digital solutions". What I Learned During development, I learned that true autonomy requires more than just intelligence—it requires a "Synaptic Archive". By implementing a feedback loop where users can rate and comment on mission results, the system creates a history of performance that informs future iterations. I also gained deep insights into the physics of AI-driven development: reducing the "mass" of a project (the manual steps) directly increases its "acceleration" toward production. Challenges Faced The primary challenge was managing Quota Locks and resource exhaustion. High-fidelity agents like these require significant computational overhead. To solve this, I implemented a strict cooldown mechanism:$$T_{total} = \sum_{i=1}^{n} (t_{processing, i} + t_{stabilization, i})$$Where $n$ represents the number of agents and $t_{stabilization}$ is the 60-second gap enforced to prevent "faults" and ensure "Ultra Safe-Mode" operation. Balancing this "Extreme Stabilization" while maintaining a seamless "Zero-Touch" user experience was the ultimate technical hurdle.

Built With

• architect
• coder
• fa-microchip
• gemini
• node.js
• react(typescript)
• tester
• vite