
Over 17 months, contributed to ankitects/anki by building and refining features that enhance spaced repetition scheduling, user analytics, and interface reliability. Focused on both backend and frontend development, delivered improvements such as FSRS optimization tooling, simulator enhancements, and robust card retrieval systems. Leveraged Rust, TypeScript, and Svelte to implement data visualization, UI/UX refinements, and performance optimizations. Addressed bugs in SQL-based retrieval and deck configuration, while introducing configuration management and CI/CD workflow stability. Prioritized maintainability through code refactoring, documentation updates, and internationalization, resulting in a more reliable, accessible, and data-driven study experience for end users and contributors.
June 2026 monthly summary for ankitects/anki: Focused on stabilizing CI workflows and improving developer-facing documentation, delivering two high-impact features that reduce maintenance overhead and accelerate onboarding.
June 2026 monthly summary for ankitects/anki: Focused on stabilizing CI workflows and improving developer-facing documentation, delivering two high-impact features that reduce maintenance overhead and accelerate onboarding.
May 2026: ankitects/anki delivered two targeted stability and usability improvements with a focus on FSRS configurability and Deck Options reliability. Key accomplishments include exposing a JavaScript API to customize the unlock speed for FSRS parameters (setParameterUnlockClickTimeoutMs) and adding a fallback for startMemorized in Deck Options to prevent console errors. Both changes were validated through local checks (ninja check) and manual verification of unlock behavior and console noise. These updates enhance user study flow, reduce potential support friction, and improve consistency across the deck options UI.
May 2026: ankitects/anki delivered two targeted stability and usability improvements with a focus on FSRS configurability and Deck Options reliability. Key accomplishments include exposing a JavaScript API to customize the unlock speed for FSRS parameters (setParameterUnlockClickTimeoutMs) and adding a fallback for startMemorized in Deck Options to prevent console errors. Both changes were validated through local checks (ninja check) and manual verification of unlock behavior and console noise. These updates enhance user study flow, reduce potential support friction, and improve consistency across the deck options UI.
April 2026 (2026-04): Delivered a corrected Efficiency Ratio Graph for Memorized Cards in ankitects/anki by implementing a new calculation that accounts for memorized cards and reflects relative knowledge gain per study time. This fixes the previous flaw where the graph overstated total knowledge and provides a more actionable efficiency signal. The change, driven by commit 922953acf4638435b5daf5c6657eacaa957c72e6, leverages community feedback (forum discussion) to invert the graph so higher values indicate greater efficiency. Business value: clearer insights into study efficiency, enabling users to optimize study time; technical achievements: robust data modeling, algorithm rewrite, and improved UX signals.
April 2026 (2026-04): Delivered a corrected Efficiency Ratio Graph for Memorized Cards in ankitects/anki by implementing a new calculation that accounts for memorized cards and reflects relative knowledge gain per study time. This fixes the previous flaw where the graph overstated total knowledge and provides a more actionable efficiency signal. The change, driven by commit 922953acf4638435b5daf5c6657eacaa957c72e6, leverages community feedback (forum discussion) to invert the graph so higher values indicate greater efficiency. Business value: clearer insights into study efficiency, enabling users to optimize study time; technical achievements: robust data modeling, algorithm rewrite, and improved UX signals.
February 2026 monthly summary for ankitects/anki focusing on FSRS improvements across UI polish, safety UX, and analytics. Delivered tangible business value by reducing risk of accidental parameter edits, improving data-driven insights, and enhancing maintainability for FSRS-related features.
February 2026 monthly summary for ankitects/anki focusing on FSRS improvements across UI polish, safety UX, and analytics. Delivered tangible business value by reducing risk of accidental parameter edits, improving data-driven insights, and enhancing maintainability for FSRS-related features.
December 2025 monthly summary for ankitects/anki: Delivered a critical Card Retrieval System Reliability Fix that stabilizes SQL-based retrieval, mitigates underflow errors, and enhances handling of new card types. Implemented code clarity improvements by introducing constants, and aligned storage layer changes (rslib/src/storage/sqlite.rs) with project standards. This work reduces user-reported retrieval failures and strengthens the foundation for future card analytics and feature work.
December 2025 monthly summary for ankitects/anki: Delivered a critical Card Retrieval System Reliability Fix that stabilizes SQL-based retrieval, mitigates underflow errors, and enhances handling of new card types. Implemented code clarity improvements by introducing constants, and aligned storage layer changes (rslib/src/storage/sqlite.rs) with project standards. This work reduces user-reported retrieval failures and strengthens the foundation for future card analytics and feature work.
Month: 2025-11 | Ankitects/anki — focused bug fix improving retention behavior for filtered decks, with performance and reliability enhancements. Overall: Deliveries centered on stabilizing retention logic across deck filtering, reducing unnecessary DB reads, and improving error handling to boost reliability and user experience.
Month: 2025-11 | Ankitects/anki — focused bug fix improving retention behavior for filtered decks, with performance and reliability enhancements. Overall: Deliveries centered on stabilizing retention logic across deck filtering, reducing unnecessary DB reads, and improving error handling to boost reliability and user experience.
Monthly work summary for 2025-10 focusing on stabilizing and streamlining the interface generation pipeline in ankitects/anki. Delivered a targeted bug fix that prevents unnecessary interface generation for BackendFrontendService, reducing maintenance overhead and speeding up subsequent iterations.
Monthly work summary for 2025-10 focusing on stabilizing and streamlining the interface generation pipeline in ankitects/anki. Delivered a targeted bug fix that prevents unnecessary interface generation for BackendFrontendService, reducing maintenance overhead and speeding up subsequent iterations.
September 2025 monthly summary for ankitects/anki: Delivered stability and robustness improvements across the FSRS and workload subsystems, improved reporting accuracy, and reduced technical debt by deprecating CMRR metrics. Contributions included fixes to the FSRS simulator, proper deck_size initialization in workload configuration, removal of obsolete CMRR references, and stricter health checks for large datasets. These changes improve model stability, data accuracy for workload planning, and reliability of health evaluations in production.
September 2025 monthly summary for ankitects/anki: Delivered stability and robustness improvements across the FSRS and workload subsystems, improved reporting accuracy, and reduced technical debt by deprecating CMRR metrics. Contributions included fixes to the FSRS simulator, proper deck_size initialization in workload configuration, removal of obsolete CMRR references, and stricter health checks for large datasets. These changes improve model stability, data accuracy for workload planning, and reliability of health evaluations in production.
August 2025: Major features and reliability improvements in ankitects/anki, focusing on FSRS messaging, card stats accuracy, workload forecasting, and UI enhancements. Key outcomes include unified FSRS alerts, robust last_review_time handling for accurate analytics, faster workload predictions via existing-cards consideration and parallelization, and UI/UX refinements with localization. Notable fixes addressed readability and localization/UI consistency. Impact: clearer user feedback, more reliable analytics, improved performance, and a polished interface. Technologies: TypeScript, React, performance-oriented refactoring, parallel computation, and localization handling.
August 2025: Major features and reliability improvements in ankitects/anki, focusing on FSRS messaging, card stats accuracy, workload forecasting, and UI enhancements. Key outcomes include unified FSRS alerts, robust last_review_time handling for accurate analytics, faster workload predictions via existing-cards consideration and parallelization, and UI/UX refinements with localization. Notable fixes addressed readability and localization/UI consistency. Impact: clearer user feedback, more reliable analytics, improved performance, and a polished interface. Technologies: TypeScript, React, performance-oriented refactoring, parallel computation, and localization handling.
July 2025 focused on delivering UI/UX improvements, configurable evaluation, and performance enhancements in ankitects/anki. Key features delivered include global tooltips with proper modal stacking, a new legacy evaluation toggle (FSRS_LEGACY_EVALUATE) with updated config and protocol buffers, modernization of the Easy Days input layout using CSS Grid, and an experimental retention simulation with new graphs, parallelized calculations, and caching for faster results. A critical bug fix introduced a confirmation dialog before saving simulator presets to prevent accidental overwrites, supported by translation updates. Overall impact: improved user productivity, safer operations, and faster retention insights. Technologies/skills demonstrated include frontend UX, configuration flags, protocol buffer/config updates, CSS Grid layouts, parallel processing, caching, and data visualization.
July 2025 focused on delivering UI/UX improvements, configurable evaluation, and performance enhancements in ankitects/anki. Key features delivered include global tooltips with proper modal stacking, a new legacy evaluation toggle (FSRS_LEGACY_EVALUATE) with updated config and protocol buffers, modernization of the Easy Days input layout using CSS Grid, and an experimental retention simulation with new graphs, parallelized calculations, and caching for faster results. A critical bug fix introduced a confirmation dialog before saving simulator presets to prevent accidental overwrites, supported by translation updates. Overall impact: improved user productivity, safer operations, and faster retention insights. Technologies/skills demonstrated include frontend UX, configuration flags, protocol buffer/config updates, CSS Grid layouts, parallel processing, caching, and data visualization.
June 2025: Delivered meaningful business value through user-facing template enhancements, robust FSRS optimization tooling, and code quality improvements. Key outcomes include enabling CardID access in templates, introducing health checks and UX improvements for FSRS optimization, hardening parameter handling with validation, restoring predictable environment timestamp checks, and refactoring for maintainability. These workstreams collectively reduced user errors, accelerated template-driven workflows, improved scheduling guidance, and laid a foundation for scalable future enhancements.
June 2025: Delivered meaningful business value through user-facing template enhancements, robust FSRS optimization tooling, and code quality improvements. Key outcomes include enabling CardID access in templates, introducing health checks and UX improvements for FSRS optimization, hardening parameter handling with validation, restoring predictable environment timestamp checks, and refactoring for maintainability. These workstreams collectively reduced user errors, accelerated template-driven workflows, improved scheduling guidance, and laid a foundation for scalable future enhancements.
May 2025 — ankitects/anki: Focused on UI polish, reliability, and retention accuracy. Delivered two major features: UI polish and accessibility improvements (stabilized CardCounts hover, prevented textarea resize for params input, improved about page spacing with non-breaking spaces) and retention warning system enhancement with workload recalibration to provide clearer feedback on retention targets. Fixed two critical bugs: SQL data retrievability underflow (saturated subtraction with explicit casts) and Leech tooltip accuracy (correctly indicating suspended cards in leech/onLeech). Overall impact: improved UI consistency and accessibility, more actionable retention guidance, and stronger data correctness, contributing to lower support tickets and better decision making. Technologies/skills demonstrated: UI accessibility improvements, defensive arithmetic and data correctness, retention/workload recalibration logic, and careful integration with the v3 scheduler and tooltip systems.
May 2025 — ankitects/anki: Focused on UI polish, reliability, and retention accuracy. Delivered two major features: UI polish and accessibility improvements (stabilized CardCounts hover, prevented textarea resize for params input, improved about page spacing with non-breaking spaces) and retention warning system enhancement with workload recalibration to provide clearer feedback on retention targets. Fixed two critical bugs: SQL data retrievability underflow (saturated subtraction with explicit casts) and Leech tooltip accuracy (correctly indicating suspended cards in leech/onLeech). Overall impact: improved UI consistency and accessibility, more actionable retention guidance, and stronger data correctness, contributing to lower support tickets and better decision making. Technologies/skills demonstrated: UI accessibility improvements, defensive arithmetic and data correctness, retention/workload recalibration logic, and careful integration with the v3 scheduler and tooltip systems.
April 2025 performance summary for ankitects/anki: Delivered key features for FSRS optimization and simulator UI localization, plus a unified simulation configuration refactor. Fixed critical memory-state calculation issues and corrected memory-state revlog ordering to improve forecast fidelity and data reliability. Overall impact: enhanced simulation accuracy, UX feedback, and maintainability, enabling more reliable review scheduling and easier future enhancements. Technologies demonstrated include backend date-cutoff logic for FSRS, internationalization across FTL/Svelte, and refactored configuration patterns for simulation.
April 2025 performance summary for ankitects/anki: Delivered key features for FSRS optimization and simulator UI localization, plus a unified simulation configuration refactor. Fixed critical memory-state calculation issues and corrected memory-state revlog ordering to improve forecast fidelity and data reliability. Overall impact: enhanced simulation accuracy, UX feedback, and maintainability, enabling more reliable review scheduling and easier future enhancements. Technologies demonstrated include backend date-cutoff logic for FSRS, internationalization across FTL/Svelte, and refactored configuration patterns for simulation.
March 2025 monthly summary for ankitects/anki. This period focused on delivering user-facing quality-of-life improvements and substantial simulator enhancements that increase scheduling efficiency and realism. Key outcomes include a new max-interval warning and author attribution, plus a major simulator refactor and FSRS update. There were no explicit bug fixes recorded in this period; work was centered on features and maintainability. Business value is reflected in improved user guidance, attribution, and more realistic study modeling, enabling better user outcomes and scheduling accuracy.
March 2025 monthly summary for ankitects/anki. This period focused on delivering user-facing quality-of-life improvements and substantial simulator enhancements that increase scheduling efficiency and realism. Key outcomes include a new max-interval warning and author attribution, plus a major simulator refactor and FSRS update. There were no explicit bug fixes recorded in this period; work was centered on features and maintainability. Business value is reflected in improved user guidance, attribution, and more realistic study modeling, enabling better user outcomes and scheduling accuracy.
February 2025: Focused on UI/UX polish, data visibility, and debugging workflows in ankitects/anki, delivering user-facing features with cross-platform considerations and improvements to developer ergonomics. Key outcomes include UI cleanups for charts, precise percentage display in SpinnerBox, and streamlined access to card debugging information via a keyboard shortcut with enhanced JSON formatting and menu reliability. These changes improve chart readability, data export clarity, and overall study-tracking confidence, while reinforcing accessibility and cross-platform support.
February 2025: Focused on UI/UX polish, data visibility, and debugging workflows in ankitects/anki, delivering user-facing features with cross-platform considerations and improvements to developer ergonomics. Key outcomes include UI cleanups for charts, precise percentage display in SpinnerBox, and streamlined access to card debugging information via a keyboard shortcut with enhanced JSON formatting and menu reliability. These changes improve chart readability, data export clarity, and overall study-tracking confidence, while reinforcing accessibility and cross-platform support.
January 2025 monthly summary for ankitects/anki: Key UI/UX and reliability enhancements in the simulator. Delivered: (1) UI: Prevent simulate button spam and show a processing indicator during active simulations, reducing accidental clicks and preventing performance issues. (2) UI: Enhanced simulator graph tooltips with per-day statistics (average and total) and memorization hints, plus color-coded readability. (3) Bug fix: Simulator now properly accounts for newly introduced cards by filtering new cards and simplifying logic by removing days_to_simulate from convert function. These changes improve user experience, accuracy of simulations, and data visualization. Technologies: UI state management, React/UX patterns, data visualization enhancements, code quality improvements; Impact: reduces user friction, increases reliability, enables better decision-making from simulation results.
January 2025 monthly summary for ankitects/anki: Key UI/UX and reliability enhancements in the simulator. Delivered: (1) UI: Prevent simulate button spam and show a processing indicator during active simulations, reducing accidental clicks and preventing performance issues. (2) UI: Enhanced simulator graph tooltips with per-day statistics (average and total) and memorization hints, plus color-coded readability. (3) Bug fix: Simulator now properly accounts for newly introduced cards by filtering new cards and simplifying logic by removing days_to_simulate from convert function. These changes improve user experience, accuracy of simulations, and data visualization. Technologies: UI state management, React/UX patterns, data visualization enhancements, code quality improvements; Impact: reduces user friction, increases reliability, enables better decision-making from simulation results.
December 2024: Delivered user-facing improvements and stability enhancements for FSRS and deck options in ankitects/anki. Implemented a range slider to configure 'easy days' in deck options, replacing radio buttons and aligning the UI with updated table headers and borders. Enhanced FSRS UX with a clearer 'no reviews to optimize' message and refined optimization logic to avoid unnecessary blocking. Fixed FSRS simulator input issues to support zero for Additional new cards, ensure New cards/day defaults from config, and stabilized interval/default values, while reverting a localization change. Extended FSRS visualization by adding a memorized option in the simulation graph and updating the fsrs crate to support the new subgraph.
December 2024: Delivered user-facing improvements and stability enhancements for FSRS and deck options in ankitects/anki. Implemented a range slider to configure 'easy days' in deck options, replacing radio buttons and aligning the UI with updated table headers and borders. Enhanced FSRS UX with a clearer 'no reviews to optimize' message and refined optimization logic to avoid unnecessary blocking. Fixed FSRS simulator input issues to support zero for Additional new cards, ensure New cards/day defaults from config, and stabilized interval/default values, while reverting a localization change. Extended FSRS visualization by adding a memorized option in the simulation graph and updating the fsrs crate to support the new subgraph.

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