
Jack Bastasin contributed to the Monash-FIT3170/2025W1-FindingNibbles repository by delivering user-facing features and infrastructure improvements over three months. He enhanced the interactive map UI with distance-based search, rating-based sorting, and persistent search history using React, TypeScript, and the Google Maps API, streamlining restaurant discovery. Jack optimized restaurant search performance by reducing redundant API calls and integrated Google reviews for richer context. He also improved security by hardening API key management. His disciplined approach included clear documentation updates and precise commit messaging, resulting in a more maintainable codebase and a smoother onboarding process for future contributors.

August 2025 highlights for Monash-FIT3170/2025W1-FindingNibbles: Core features delivered, performance improvements, and security hardening across the project. Key outcomes include a faster and more engaging user experience, richer map data with Google reviews, and more secure deployment practices. These changes drive faster dish discovery, better contextual information for users, and more reliable production releases.
August 2025 highlights for Monash-FIT3170/2025W1-FindingNibbles: Core features delivered, performance improvements, and security hardening across the project. Key outcomes include a faster and more engaging user experience, richer map data with Google reviews, and more secure deployment practices. These changes drive faster dish discovery, better contextual information for users, and more reliable production releases.
May 2025 monthly summary for Monash-FIT3170/2025W1-FindingNibbles. Focused on delivering user-centric front-end enhancements and stabilizing the Meal Planner flow to improve engagement and decision quality. The work strengthened map-based discovery and reliability across the main user journey, with clear, business-oriented outcomes.
May 2025 monthly summary for Monash-FIT3170/2025W1-FindingNibbles. Focused on delivering user-centric front-end enhancements and stabilizing the Meal Planner flow to improve engagement and decision quality. The work strengthened map-based discovery and reliability across the main user journey, with clear, business-oriented outcomes.
March 2025 performance summary for Monash-FIT3170/2025W1-FindingNibbles. Focus was on formalizing contributor attribution and improving documentation hygiene. Delivered a contributor-list update in the README to credit Jack Bastasin with name and email, marking his initial contribution. No major bugs fixed this period; changes were documentation/governance-based. This work improves onboarding, transparency, and collaboration readiness, enabling smoother future contributions. Demonstrated solid Git practices, clear commit messaging, and README maintenance for maintainability.
March 2025 performance summary for Monash-FIT3170/2025W1-FindingNibbles. Focus was on formalizing contributor attribution and improving documentation hygiene. Delivered a contributor-list update in the README to credit Jack Bastasin with name and email, marking his initial contribution. No major bugs fixed this period; changes were documentation/governance-based. This work improves onboarding, transparency, and collaboration readiness, enabling smoother future contributions. Demonstrated solid Git practices, clear commit messaging, and README maintenance for maintainability.
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