January 2026 monthly summary for mvl-boston/opendbc focused on safety-critical stability improvements in EPS handling for Toyota models. The primary effort delivered a targeted fix to reduce rare EPS faults during low-speed steering unwind, enhancing driver control and reliability in ADAS cross-model scenarios.

Summary for 2025-08 (sunnypilot/sunnypilot): Focused UI clarity and measurement precision improvements. Major outcomes include a bug fix for the Interactivity Timeout Default Display and a feature enhancement to the Live Steer Delay display. (1) Bug fix: Interactivity Timeout Default Display now shows 'Default' when InteractivityTimeout is unset or empty, replacing a stray 's' and reducing user confusion (commit 3cf81c081cef4bb75d5e9e09796e4585a618d794). (2) Feature: Live Steer Delay display now shows three decimal places for the lagd toggle, enabling finer performance assessment (commit 638dfb68bab1925da2baeed355a92f7e811a8c48).

July 2025 monthly summary for sunnypilot/sunnypilot: Improved build stability and data integrity by delivering a Neural Network Data Submodule Version Bump and Build Compatibility Fix. The change renames files to remove spaces and updates commit hashes for SIENNA_4TH_GEN and KIA_NERO_PHEV_2022 neural network data submodules, ensuring CI builds remain green across environments. This work prevents data-loading regressions and reduces deployment risk in production pipelines.

June 2025 monthly summary for sunnypilot/sunnypilot focusing on feature delivery, impact, and technical execution. Key highlights: - Delivered Neural Network Data Update for Rav4 Prime Performance Enhancement by updating the subproject to Gen 2 tuning, enabling refined performance improvements and better Rav4 Prime-specific predictions. No major bugs fixed this month. The change emphasizes reliability and model accuracy rather than defect resolution. Overall impact: Improved Rav4 Prime model accuracy and performance, supporting safer, more confident driving recommendations and better user experiences. The work sets a foundation for broader rollout of Gen 2 tuning across Rav4 Prime deployments. Technologies/skills demonstrated: neural network tuning, data pipeline updates, version control and traceability (commit-based changes), cross-repo integration, and performance optimization.

April 2025 monthly summary for sunnypilot/sunnypilot focused on maintenance that preserves tuning data integrity and build reproducibility. Delivered a targeted NNLC tuning alignment for TOYOTA_RAV4_PRIME by updating the tuning submodule pointer to the latest committed state, ensuring Gen1 NNLC data is consistently used across environments.