Builder DNA
Builds with
Boosted drone controller reliability from 55% to 70%
2732 sessions tracked this week across all builders
Fixed a critical configuration issue and refined parameters, improving drone controller success rate from 55% to 70%.
One-shot orchestration on lsy_drone_racing
2771 sessions tracked this week across all builders
56m session delegating across sub-agents. 241K tokens across 1 prompts using claude-sonnet-4-6.
One-shot orchestration on lsy_drone_racing
2769 sessions tracked this week across all builders
56m session delegating across sub-agents. 169K tokens across 1 prompts using claude-sonnet-4-6.
Debugged lsy_drone_racing
1922 sessions tracked this week across all builders
19h 43m session running commands and testing. 1.0M tokens across 19 prompts using claude-opus-4-7.
Agent refactor of Job-Tracker-Dashboard
1921 sessions tracked this week across all builders
Autonomous 15h 33m agent session with heavy editing and code changes. 859K tokens processed using claude-opus-4-7.
Explored CTOwned
19h 43m
14h 36m session reading and analyzing the codebase. 2.0M tokens across 6 prompts using claude-opus-4-7[1m].
Refactored Job-Tracker-Dashboard
1919 sessions tracked this week across all builders
18h 58m session with heavy editing and code changes. 859K tokens across 11 prompts using claude-opus-4-7.
Debugged lsy_drone_racing
Previous best: 1,469 lines
19h 43m session running commands and testing. 1.0M tokens across 19 prompts using claude-opus-4-7.
Standardized 71 UI templates across classic and modern
2069 sessions tracked this week across all builders
Mirrored modern templates to classic mode with URL rewrites for backwards compatibility.
Optimized bank operations with scheduled cache warming and deductions
2075 sessions tracked this week across all builders
Implemented automatic bank cache warming and per-withdraw deductions to reduce API calls.
Optimized drone controller for 1.3-second faster lap times
2316 sessions tracked this week across all builders
Reduced lap time from 9 seconds to 7.8 seconds through systematic parameter tuning.
Set up OKVIS build infrastructure and created integration plan
First build using this model
Prepared Docker with OKVIS dependencies and created detailed plan to integrate SLAM into the vehicle platform.