Ashish Kumar

• The TUI foundation leverages Bubbletea and Cobra for structured, dynamic terminal presentation of cricket scores and robust CLI argument handling.
• Data acquisition utilizes a brittle hybrid strategy combining standard JSON API deserialization with aggressive regex-based HTML scraping via goquery.
• Internal packaging demonstrates clear separation of concerns, isolating domain models, the proprietary cricbuzz API client, and core app state management.
• The core data layer implements a necessary, rudimentary client-side rate limiter to politely manage the frequency of public Cricbuzz score polling requests.
• The heavy reliance on web scraping introduces significant technical debt and maintenance risk, as external HTML structure changes will immediately halt score retrieval.

• Embraces idiomatic Go CLI structure using Cobra and robust Viper configuration management for scalability and modularity.
• Securely mask API secrets input; relying solely on fmt.Scanln exposes credentials during manual authentication setup.
• Configuration design correctly leverages environment variables and standard XDG paths for resilient and predictable user configuration storage.
• Refactor the monolithic searchCmd execution logic to mitigate high measured cyclomatic complexity and improve immediate readability.
• Ensure comprehensive API error handling within the critical, truncated client.Search implementation details to bolster runtime stability.

Senior Software Engineering Assessment: ashish0kumar/shawty

• The implementation wisely integrates Google Safe Browsing and strong validation, crucial for mitigating phishing risks in this domain.
• The timestamp-based GetShortCode function is inherently predictable and prone to collisions; switch to unique ID generation (e.g., UUID or Redis INCR).
• Commendable use of Redis dual-key mapping (short: and long:) ensures efficient URL deduplication and fast reverse lookups.
• The codebase utilizes idiomatic Go concurrency, specifically sync.Once for secure singleton initialization of external security clients.
• Refactor context passing in utils/store.go to use context.Context by value, aligning with standard Go API conventions.
• Improve error handling in main.go; avoid embedding raw, unstyled HTML fragments directly within the rate-limiting handler logic.

• Massive critical security issue count demands immediate dependency auditing and hardening of external API key storage and network parsing.
• The internal/ structure effectively separates data models, configuration, and presentation logic for clearer domain organization and scaling.
• Raw terminal control implemented within main.go is complex; abstract this interactive state management to enhance CLI robustness.
• Mature configuration management leverages TOML and XDG standards, ensuring robust cross-platform user settings persistence.
• Refactor extensive condition mapping logic in display.go; the low Maintainability Index signals high cognitive complexity overhead.

• Theme data is encapsulated using idiomatic nested Go maps, effectively serving as configuration constants for the recoloring engine.
• The architecture cleanly separates color palettes within the themes package, promoting superior modularity for data organization.
• Refactor repetitive color definitions across theme variants (e.g., Catppuccin) to enforce DRY configuration principles and reduce bulk.
• Consider migrating static map definitions to specific Go structs to improve type safety instead of relying purely on generic string keys.
• The system relies entirely on the hexToRGBA utility function, ensuring its robustness and error handling capacity is critical.
• File structure is excellent; isolating each palette into its own file simplifies maintenance and theme addition.

• Salted server actions simplify data mutations, providing a modern, authenticated integration for key features like community creation.
• Excellent error handling manages community name conflicts using explicit Prisma constraint codes, yielding robust user feedback.
• Decouple the monolithic actions.tsx file to improve scalability and reduce functional context overload in the future.
• The upload pipeline is securely gated via Kinde middleware, ensuring only authorized users manage community media uploads.
• Address the critically high security issue count, ensuring robust input validation beyond current server session checks.