
Alistair contributed to the Anteater-Electric-Racing/embedded repository by developing real-time telemetry and CAN bus monitoring systems, focusing on robust data acquisition and observability for embedded automotive applications. He implemented features such as a TelemetryData model, ISOTP protocol support, and automated deployment scripts, leveraging Rust, C++, and Arduino to ensure reliable communication between hardware and cloud dashboards. His work included UI enhancements, threaded data ingestion, and integration with InfluxDB and MQTT for scalable telemetry streaming. Through rigorous code quality practices, deployment automation, and test-driven development, Alistair delivered maintainable solutions that improved debugging efficiency and streamlined production deployments across diverse hardware platforms.

June 2025 performance summary for Anteater-Electric-Racing/embedded: Delivered core telemetry capabilities, stabilized deployment configurations, and prepared production readiness through testing-oriented refinements. The month focused on delivering accurate telemetry, improving troubleshooting capabilities, and enabling smoother releases with deterministic build/deploy steps.
June 2025 performance summary for Anteater-Electric-Racing/embedded: Delivered core telemetry capabilities, stabilized deployment configurations, and prepared production readiness through testing-oriented refinements. The month focused on delivering accurate telemetry, improving troubleshooting capabilities, and enabling smoother releases with deterministic build/deploy steps.
May 2025 monthly highlights for Anteater-Electric-Racing/embedded. Delivered real-time CAN bus dumping and monitoring with isotp support, migrated to an Arduino-based implementation, and automated CAN tooling deployment on Raspberry Pi. Enhanced data visibility, messaging robustness, and deployment reproducibility while improving code hygiene and automation. Actions focused on business value: faster debugging cycles, reduced manual setup, and scalable, maintainable CAN monitoring across hardware.
May 2025 monthly highlights for Anteater-Electric-Racing/embedded. Delivered real-time CAN bus dumping and monitoring with isotp support, migrated to an Arduino-based implementation, and automated CAN tooling deployment on Raspberry Pi. Enhanced data visibility, messaging robustness, and deployment reproducibility while improving code hygiene and automation. Actions focused on business value: faster debugging cycles, reduced manual setup, and scalable, maintainable CAN monitoring across hardware.
2025-04 Monthly Summary — Anteater-Electric-Racing/embedded Key features delivered: - Raspi ISOTP Telemetry Module for CAN Bus (fase-raspi-isotp) enabling ISOTP communication and real-time telemetry parsing/printing. - TelemetryData struct for parsing sensor data. - Continuous main loop for real-time telemetry streaming. - Buffer handling refined: input length increased from 28 to 44 bytes. Major bugs fixed: - Fixed length check to support 44-byte telemetry payloads (fix len check). Impact and accomplishments: - Real-time telemetry over CAN increases observability, reduces debugging time, and improves data reliability. - Stronger foundation for telemetry-driven monitoring and alerting across the embedded stack. Technologies/skills demonstrated: - Embedded C/C++, CAN bus and ISOTP, real-time data processing, robust buffer management, and test-driven development (ISOTP tests). Commits: 2582d031eb2240bc2bee6684774aae99b5c308e5 (add isotp test); 21476932f0f14bd9f92d0e13424a75c0846e7e44 (fix len check).
2025-04 Monthly Summary — Anteater-Electric-Racing/embedded Key features delivered: - Raspi ISOTP Telemetry Module for CAN Bus (fase-raspi-isotp) enabling ISOTP communication and real-time telemetry parsing/printing. - TelemetryData struct for parsing sensor data. - Continuous main loop for real-time telemetry streaming. - Buffer handling refined: input length increased from 28 to 44 bytes. Major bugs fixed: - Fixed length check to support 44-byte telemetry payloads (fix len check). Impact and accomplishments: - Real-time telemetry over CAN increases observability, reduces debugging time, and improves data reliability. - Stronger foundation for telemetry-driven monitoring and alerting across the embedded stack. Technologies/skills demonstrated: - Embedded C/C++, CAN bus and ISOTP, real-time data processing, robust buffer management, and test-driven development (ISOTP tests). Commits: 2582d031eb2240bc2bee6684774aae99b5c308e5 (add isotp test); 21476932f0f14bd9f92d0e13424a75c0846e7e44 (fix len check).
Month: 2025-03 — Delivered observability, reliability, and developer experience improvements across two repos. Key features include TensorBoard-based experiment visualization, development-environment standardization, and real-time power/energy telemetry enhancements. Major fixes include consistent hd_camera data typing and GradScaler compatibility updates. These changes improve experiment traceability, runtime data integrity, and developer onboarding, enabling faster iteration and more reliable race simulations.
Month: 2025-03 — Delivered observability, reliability, and developer experience improvements across two repos. Key features include TensorBoard-based experiment visualization, development-environment standardization, and real-time power/energy telemetry enhancements. Major fixes include consistent hd_camera data typing and GradScaler compatibility updates. These changes improve experiment traceability, runtime data integrity, and developer onboarding, enabling faster iteration and more reliable race simulations.
February 2025 performance summary: Delivered substantial UI/UX and reliability improvements across two repositories, driving better user experience, faster deployments, and stronger developer velocity. In embedded, we introduced a grid-based UI, warning color scheme, and spacing enhancements for improved readability; performed code quality cleanup (Clippy fixes, inline descriptions, clang-format) and reorganized messaging for CAN/UART readability; implemented non-blocking InfluxDB requests and lazy initialization with once_cell; removed outdated UI components and stray debug code; established Grafana-based monitoring and ensured correct file permissions; plus build/deploy automation to streamline installation and service setup. In uci_f1tenth_workshop, added UV support to Racecar Gym, configured packaging with Hatchling, standardized CI workflows, and split linting/formatting; introduced Ruff, Reviewdog, and mypy improvements; and added a Wireless Testing Framework to validate wireless functionality. These efforts reduce tech debt, shorten deployment cycles, improve observability, and set a scalable foundation for future features.
February 2025 performance summary: Delivered substantial UI/UX and reliability improvements across two repositories, driving better user experience, faster deployments, and stronger developer velocity. In embedded, we introduced a grid-based UI, warning color scheme, and spacing enhancements for improved readability; performed code quality cleanup (Clippy fixes, inline descriptions, clang-format) and reorganized messaging for CAN/UART readability; implemented non-blocking InfluxDB requests and lazy initialization with once_cell; removed outdated UI components and stray debug code; established Grafana-based monitoring and ensured correct file permissions; plus build/deploy automation to streamline installation and service setup. In uci_f1tenth_workshop, added UV support to Racecar Gym, configured packaging with Hatchling, standardized CI workflows, and split linting/formatting; introduced Ruff, Reviewdog, and mypy improvements; and added a Wireless Testing Framework to validate wireless functionality. These efforts reduce tech debt, shorten deployment cycles, improve observability, and set a scalable foundation for future features.
January 2025 monthly performance summary for Anteater-Electric-Racing/embedded focused on delivering core functionality, UI polish, quality enhancements, and documentation improvements that collectively raise product value and development efficiency. Key features delivered: - Core Features and Integrations: Implemented main timer, Omni updates, internal CAN links, and meeting-driven updates enabling reliable time tracking and CAN-based communications. - UI and Dashboard Cleanups: Polished dashboards and UI refinements to improve visibility and user experience. - Assets and Documentation Updates: Added car SVG, documented codebase linkage under Teensy/Speed Controller, and renamed project path from fsae-vehicle_fw to fsae-vehicle-fw for clarity. - Code Quality Tooling and Formatting: Enabled and standardized linting/formatting tooling (clang-tidy usage, format checker, PR linting integration) and standardized 4-space indentation across the main branch to improve consistency and maintainability. - CI/Branch and Environment Configuration: Modernized CI/branch handling, updated paths, working directory access, and PR permissions to streamline collaboration across all branches. Major bugs fixed: - Fail on Medium Defect: Adjusted defect handling to fail on medium defects, improving feedback loops and reliability of defect processing. Overall impact and accomplishments: - Stabilized and accelerated development with a cohesive tooling chain, clearer project structure, and consistent coding standards. - Improved user experience through UI cleanup and updated assets, while maintaining robust core functionality and easier onboarding for new contributors. - Strengthened build and release reliability via updated CI/branch policies and automated quality checks. Technologies/skills demonstrated: - Linting, formatting, and code quality tooling (clang-tidy, format checker, PR linting). - 4-space indentation standardization and codebase-wide formatting. - CI/CD workflow improvements, branch handling, and PR permission configuration. - CAN bus integration concepts and internal linking, timer-based features, and meeting-driven updates. - Documentation and asset management (SVG assets, codebase linkage, and project renaming).
January 2025 monthly performance summary for Anteater-Electric-Racing/embedded focused on delivering core functionality, UI polish, quality enhancements, and documentation improvements that collectively raise product value and development efficiency. Key features delivered: - Core Features and Integrations: Implemented main timer, Omni updates, internal CAN links, and meeting-driven updates enabling reliable time tracking and CAN-based communications. - UI and Dashboard Cleanups: Polished dashboards and UI refinements to improve visibility and user experience. - Assets and Documentation Updates: Added car SVG, documented codebase linkage under Teensy/Speed Controller, and renamed project path from fsae-vehicle_fw to fsae-vehicle-fw for clarity. - Code Quality Tooling and Formatting: Enabled and standardized linting/formatting tooling (clang-tidy usage, format checker, PR linting integration) and standardized 4-space indentation across the main branch to improve consistency and maintainability. - CI/Branch and Environment Configuration: Modernized CI/branch handling, updated paths, working directory access, and PR permissions to streamline collaboration across all branches. Major bugs fixed: - Fail on Medium Defect: Adjusted defect handling to fail on medium defects, improving feedback loops and reliability of defect processing. Overall impact and accomplishments: - Stabilized and accelerated development with a cohesive tooling chain, clearer project structure, and consistent coding standards. - Improved user experience through UI cleanup and updated assets, while maintaining robust core functionality and easier onboarding for new contributors. - Strengthened build and release reliability via updated CI/branch policies and automated quality checks. Technologies/skills demonstrated: - Linting, formatting, and code quality tooling (clang-tidy, format checker, PR linting). - 4-space indentation standardization and codebase-wide formatting. - CI/CD workflow improvements, branch handling, and PR permission configuration. - CAN bus integration concepts and internal linking, timer-based features, and meeting-driven updates. - Documentation and asset management (SVG assets, codebase linkage, and project renaming).
December 2024 monthly summary for Anteater-Electric-Racing/embedded: Implemented robust MQTT integration with threaded processing and mqttd usage; added local Mosquitto broker support with an alternate config; enhanced MQTT error handling; improved dashboard UI with Tailwind styling and MPH/speed display refinements; expanded testing, refactor, and documentation to boost reliability and maintainability. These changes improve telemetry reliability, diagnostic visibility, local deployment flexibility, and overall software quality, supporting faster issue resolution and safer operations in production.
December 2024 monthly summary for Anteater-Electric-Racing/embedded: Implemented robust MQTT integration with threaded processing and mqttd usage; added local Mosquitto broker support with an alternate config; enhanced MQTT error handling; improved dashboard UI with Tailwind styling and MPH/speed display refinements; expanded testing, refactor, and documentation to boost reliability and maintainability. These changes improve telemetry reliability, diagnostic visibility, local deployment flexibility, and overall software quality, supporting faster issue resolution and safer operations in production.
November 2024 milestones for Anteater-Electric-Racing/embedded: Delivered a robust MessageSize handling system with ongoing refinements; integrated InfluxDB for CAN data using the dedicated client library and configuration, with threaded writes to improve throughput; added async backend support for non-blocking operations; expanded integration footprint with MQTT, UART, and Arduino adapters; strengthened quality and maintainability through expanded testing, scaffolding, and documentation.
November 2024 milestones for Anteater-Electric-Racing/embedded: Delivered a robust MessageSize handling system with ongoing refinements; integrated InfluxDB for CAN data using the dedicated client library and configuration, with threaded writes to improve throughput; added async backend support for non-blocking operations; expanded integration footprint with MQTT, UART, and Arduino adapters; strengthened quality and maintainability through expanded testing, scaffolding, and documentation.
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