Scira is a minimalistic AI-powered search engine designed to efficiently assist users in finding information on the internet. It is developed by leveraging advanced AI models and APIs, integrating technologies such as Vercel AI SDK and Tavily AI. The project is in an active development phase with significant community interest, as evidenced by its 5030 stars and 598 forks on GitHub.
Zaid Mukaddam (zaidmukaddam)
Meet Patel (meetpateltech)
Michael Yuhe (MichaelYuhe)
Aristide021
Shourya Maan Jain (shouryamaanjain)
Issues:
Pull Requests:
Recent activities indicate a focus on enhancing backend functionalities, improving mobile user experience, and expanding search capabilities.
| Timespan | Opened | Closed | Comments | Labeled | Milestones |
|---|---|---|---|---|---|
| 7 Days | 6 | 4 | 7 | 6 | 1 |
| 30 Days | 7 | 5 | 8 | 7 | 1 |
| 90 Days | 42 | 18 | 54 | 42 | 1 |
| All Time | 49 | 20 | - | - | - |
Like all software activity quantification, these numbers are imperfect but sometimes useful. Comments, Labels, and Milestones refer to those issues opened in the timespan in question.
| Developer | Avatar | Branches | PRs | Commits | Files | Changes |
|---|---|---|---|---|---|---|
| Zaid Mukaddam |  |
1 | 0/0/0 | 15 | 37 | 18133 |
| Meet Patel |  |
1 | 1/1/0 | 1 | 2 | 4 |
| Yuhang |  |
1 | 1/1/0 | 1 | 1 | 2 |
| Sheldon Aristide (Aristide021) | 0 | 1/0/0 | 0 | 0 | 0 | |
| Shouryamaan Jain (shouryamaanjain) | 0 | 1/0/0 | 0 | 0 | 0 |
PRs: created by that dev and opened/merged/closed-unmerged during the period
| Risk | Level (1-5) | Rationale |
|---|---|---|
| Delivery | 4 | The project faces significant delivery risks due to a growing backlog of issues, with 42 issues opened and only 18 closed in the past 90 days. This imbalance suggests potential delays in achieving project goals if not addressed promptly. Additionally, the prolonged open status of certain pull requests, such as PR #3 being open for 178 days, indicates possible bottlenecks in the review or merging process that could further impact delivery timelines. |
| Velocity | 4 | The project's velocity is at risk due to the disparity in commit activity among developers and the slow integration of pull requests. Zaid Mukaddam's high individual contribution contrasts with minimal activity from other team members, suggesting potential team dynamics issues. The backlog of unresolved issues and the extended duration of open pull requests also contribute to a slowing project pace. |
| Dependency | 3 | The project relies heavily on external APIs and AI models, including Anthropic's Models, Tavily's API, OpenWeather's API, and Google Maps API. This reliance poses dependency risks if these services face outages or changes. However, efforts like Docker support (PR #73) aim to mitigate some dependency risks by ensuring consistent deployment environments. |
| Team | 3 | While there is active engagement among team members with 54 comments on issues in 90 days, the uneven distribution of work and contributions suggests potential team dynamics issues. The lack of commits from some developers despite their involvement in pull requests may indicate differing roles or resource constraints within the team. |
| Code Quality | 3 | The focus on incremental improvements and codebase enhancements through pull requests like PR #65 (improving error handling and unit tests) reflects attention to code quality. However, the concentration of changes by one developer without thorough peer reviews could lead to challenges in maintaining high code quality. |
| Technical Debt | 3 | Efforts to improve code quality and maintainability are evident through refactoring activities and enhancements like Docker support. However, the growing backlog of issues and the need for more impactful contributions suggest that technical debt could accumulate if not addressed effectively. |
| Test Coverage | 4 | The absence of explicit test scripts in the package.json raises concerns about test coverage. While some pull requests focus on improving unit tests, the overall lack of automated testing frameworks suggests insufficient test coverage to catch bugs and regressions effectively. |
| Error Handling | 3 | Improvements in error handling are being made through pull requests like PR #65, which enhances error handling and unit testing. However, ongoing issues such as UI responsiveness problems (#77) indicate that error handling may still be insufficient to catch all errors effectively. |
The Scira project has experienced a surge in recent GitHub issue activity, with multiple issues created within the last few days. This indicates active development and engagement from the community. Notably, several issues highlight user experience challenges and feature requests, suggesting a focus on improving functionality and usability.
A notable anomaly is Issue #77, where clicking on suggestions returns a JSON response instead of expected results, but only on mobile devices. This issue is significant as it affects mobile usability, which is crucial for user engagement. Another critical issue is #71, which discusses difficulties in running the application with fewer APIs due to missing API keys. This highlights potential barriers for new users trying to test or contribute to the project.
Themes among the issues include API integration challenges (e.g., #75 on tracking API costs), user interface improvements (e.g., #76 on citing sources), and feature requests for enhanced search capabilities (e.g., #78 on deep research settings). There is also a recurring theme of mobile-specific issues, indicating a need for better mobile optimization.
While specific priorities are not listed, issues affecting core functionality or user experience, such as #77 and #71, can be considered high priority due to their impact on usability and accessibility.
The Scira project is actively evolving with community-driven enhancements and bug fixes. The focus appears to be on improving both backend functionalities like API cost tracking and frontend user experiences, particularly for mobile users. The ongoing activity suggests a dynamic development environment with significant community involvement.
Summary
Quantified Reports
Detailed Reports.png?size=50)
.png?size=50)
.png?size=50)
.png?size=50)
min-h-screen.@t3-oss/env-nextjs.knipThe project is actively evolving with several open pull requests focusing on infrastructure improvements (Docker), code quality enhancements (error handling, type safety), and UI/UX refinements. The recent closure of minor UI improvements indicates ongoing attention to user experience. However, some older pull requests remain open, suggesting potential bottlenecks or shifts in project focus that need addressing. Overall, the repository reflects a vibrant development environment with active community engagement.
app/page.tsxuseState, useEffect, and useMemo to manage state and lifecycle events efficiently.useMemo and useCallback suggests an awareness of performance optimization. However, the large number of imports and potential re-renders could impact performance.components/markdown-render.tsxuseState, useCallback, and useMemo is appropriate for managing state and optimizing performance. The code is clean and readable.app/api/chat/route.tspackage.jsondev), production (build, start), and linting (lint) are present.pnpm-lock.yamlcomponents/reason-search.tsxcomponents/ui/form-component.tsxuseState, useRef, useCallback efficiently to manage form state and lifecycle events.lib/utils.tscn) or defining search groups.Overall, the codebase demonstrates good practices in terms of structure, organization, and use of TypeScript for type safety. Some files are quite large, which could be refactored into smaller modules for better maintainability.
Active Development: The project shows active development with frequent commits addressing both bug fixes and feature enhancements. Zaid Mukaddam is the most active contributor, leading major updates and integrations.
Collaboration: There is evidence of collaboration among team members, notably between Zaid Mukaddam and Meet Patel on UI-related changes. Contributions from external collaborators like Michael Yuhe are also integrated into the main branch.
Feature Expansion: Recent activities focus on expanding the capabilities of the search engine, particularly in enhancing AI model support, improving user interface interactions, and adding new functionalities such as Extreme Research Mode.
UI/UX Improvements: A significant portion of recent commits is dedicated to improving user experience through UI enhancements, responsive design adjustments, and better interaction handling.
Integration of New Technologies: The project is integrating new AI models and providers, indicating a focus on leveraging cutting-edge technologies to enhance search capabilities.
Overall, the development team is actively working on both maintaining existing features and expanding the project's scope by integrating new technologies and improving user experience.