Report On: Fetch issues

Analysis of Open Issues for the Skyvern Software Project

Notable Problems and Uncertainties:

• Issue #83: The problem with autofill-like inputs not being handled by Skyvern is significant because it affects user experience and the software's ability to perform in dynamic web environments. The proposed solution involves detecting JavaScript events or DOM updates, which could be complex and may require substantial testing to ensure robustness across different websites.

• Issue #82: Lack of documentation is a common issue in software projects that can lead to difficulties in onboarding new developers or users. This issue indicates an intention to improve the situation but does not provide a timeline or specific plan for the creation of the documentation.

• Issue #81: Adding support for Azure OpenAI endpoints is crucial for users who prefer or are required to use Azure services. The related Issue #76 suggests that a solution is imminent, which could resolve this issue shortly.

• Issue #80: The absence of an uninstall script can lead to a poor user experience when trying to remove the software. The manual steps provided are helpful but not as user-friendly as an automated script.

• Issue #76 & #72: These issues are interrelated and indicate ongoing work to support multiple language models and cloud providers. Issue #72 is blocked by Issue #76, which suggests that resolving Issue #76 is a high priority.

• Issue #70: Implementing a token or cost limit for tasks is important for controlling usage costs, but it also introduces complexity in estimating costs and ensuring tasks complete within the budget.

• Issue #69: Difficulty interacting with popup modals on specific websites like costcotravel.com indicates challenges in handling dynamic content, which could affect the reliability of Skyvern across different web pages.

• Issue #68: The lack of quickstart instructions for Linux and Windows platforms limits the accessibility of Skyvern to potential users on those operating systems.

• Issue #67: Only supporting GPT-4V might restrict the software's appeal. Expanding support to other multi-modal models could enhance Skyvern's capabilities and market reach.

• Issue #58: Creating a Docker file is essential for simplifying deployment and avoiding compatibility issues, as evidenced by the discussion around Python version compatibility.

• Issue #51: Evaluating mobile layouts could potentially reduce costs, but there's uncertainty about whether this would result in fewer steps overall. Testing is needed to validate this hypothesis.

• Issue #49: Hitting OpenAI's rate limit is a serious problem that can disrupt service availability. It highlights the need for better rate limiting and error handling within Skyvern.

• Issue #37 & #36: These issues relate to setup problems with poetry versions and system configurations, suggesting that initial setup can be problematic for some users. A Dockerfile, as mentioned in Issue #36, could alleviate these problems.

• Issue #8: Supporting interactions within iframes is critical for full web compatibility, indicating that Skyvern currently may not work with all web page structures.

Anomalies and TODOs:

• There seems to be a recurring theme of compatibility and setup issues (e.g., Python version problems in Issue #58, poetry version issues in Issue #37).

• Several issues (#83, #76, #72) suggest ongoing development efforts to expand the capabilities of Skyvern, indicating that the project is actively evolving.

• The recent closure of Issue #85 suggests that there might be recurring problems with ./setup.sh and PostgreSQL setup via Homebrew. This aligns with discussions about moving towards Docker (Issue #41).

Trends from Closed Issues:

• The recent closure of Issue #41 indicates a move towards Docker for running PostgreSQL, which should help address some setup issues mentioned in open issues.

• Closing Issue #74 quickly after creation suggests responsiveness to community suggestions regarding project communication channels.

• The resolution of Issue #85 after multiple attempts at running ./setup.sh indicates potential instability or lack of clarity in the setup process that might need further attention beyond just moving to Docker.

Summary:

The open issues indicate an active development phase with efforts focused on expanding compatibility (Azure OpenAI endpoints), improving usability (autofill handling), enhancing documentation, and addressing setup challenges (Docker support). Some significant problems include handling dynamic web content (#83) and avoiding service disruptions due to rate limiting (#49). There are uncertainties around cost control features (#70) and mobile layout benefits (#51). There are also several TODOs related to expanding model support (#67) and platform instructions (#68). Recent trends from closed issues suggest improvements in setup processes and responsiveness to community feedback.

Report On: Fetch pull requests

Analysis of Pull Requests for Skyvern-AI/skyvern

Notable Closed Pull Requests

PR #62 and PR #61: Fix exception message to include workflow_run_id

Both PR #62 and PR #61 address the same issue of including workflow_run_id in an exception message. However, PR #62 was closed without being merged, which could indicate a duplicate effort or a change in the approach to fix the issue. It's important to ensure that efforts are not duplicated and that the team is aligned on how to address issues.

PR #43: Add Skyvern demo video

PR #43 was closed without being merged, with the comment "Didn't work" from Suchintan. This indicates that there may have been an issue with the demo video or its integration into the project documentation. It's crucial to follow up on such issues to maintain project quality and documentation standards.

General Observations

• The majority of recent pull requests have been merged quickly, often within a day of creation. This suggests an active and responsive development team.
• Many pull requests are created and merged by the same individual (e.g., ykeremy), which could indicate a small team size or a specific individual taking on multiple roles.
• There is a pattern of syncing local files with remote repositories (e.g., PR #60, PR #59), which suggests that the project is actively maintaining consistency across different versions or components of the software.
• Several pull requests involve updates to setup scripts and environment configurations (e.g., PR #87, PR #71, PR #33), indicating ongoing efforts to improve developer experience and project setup.
• The project seems to be using automated workflows for syncing files (e.g., .github/workflows/sync-skyvern-cloud.yml changes in PR #77) and for code quality checks (e.g., precommit CI workflow in PR #16).

Specific Pull Request Analysis

Recently Closed Pull Requests

PR #87: Upgrade setup.sh to include docker postgres

This PR adds significant functionality to the setup.sh script by incorporating Docker Postgres setup. This is a positive development as it simplifies the environment setup process for developers.

PR #86: Add a delay before navigating to the url

The addition of a delay in browser_factory.py suggests an attempt to fix race conditions or timing issues in browser navigation. This could be important for ensuring reliability in automated browser interactions.

PR #84: Cleanup executor logic

Refactoring code in async_executor.py and agent_protocol.py is a good practice for maintaining clean and efficient codebases.

PR #79: Prefix sync PRs with repo-sync/

Standardizing branch naming with prefixes can help in organizing and identifying different types of branches, such as those used for synchronization.

PR #78, PR #77, and others: Minor updates and fixes

These pull requests include minor updates or fixes such as removing unused arguments, updating GitHub Actions workflows, adding charts to READMEs, etc. They represent incremental improvements to the project.

Open Pull Requests

There are currently no open pull requests, which means either all recent changes have been successfully merged or there may be a lull in development activity. It's important for the project maintainers to encourage contributions and ensure there are no barriers for new pull requests being opened.

Conclusion

The recent activity on Skyvern-AI/skyvern's pull requests shows a healthy pace of development with quick merges and attention to both feature development and maintenance tasks. However, it's important to avoid duplicate efforts (as seen with PR #62) and ensure that all contributions are properly integrated into the project (as seen with the closure of PR #43 without merging). Regular reviews of open and closed pull requests can help maintain high standards of code quality and project management.

Report On: Fetch commits

Skyvern Project Analysis

The Skyvern project is an innovative software designed to automate browser-based workflows using Large Language Models (LLMs) and computer vision. It is developed and maintained by the organization Skyvern-AI. The software aims to provide a robust alternative to traditional automation methods that rely on DOM parsing and XPath-based interactions, which are prone to breaking with website layout changes. Instead, Skyvern uses a combination of computer vision and LLMs to interpret visual elements and infer actions necessary to complete workflows, even on previously unseen websites. This makes it resistant to layout changes and capable of handling complex interaction scenarios.

Skyvern is available as an open-source project under the GNU Affero General Public License v3.0, with its core codebase hosted on GitHub. The project also offers a managed cloud version called Skyvern Cloud, which is currently in private beta. The cloud service includes additional features such as anti-bot detection, proxy networks, and CAPTCHA solving capabilities.

The overall state of the project appears to be active and growing, with a substantial number of stars (1474) indicating a strong interest from the community. The repository has a size of 109610 kB, 62 forks, 16 open issues, and a total of 65 commits at the time of analysis.

Team Members and Recent Commit Activity

Suchintan

• Recent Commits: 29 commits with 10072 total changes across 25 files in the main branch.
• Key Contributions:
  • Upgraded setup.sh script to include Docker Postgres integration.
  • Added new examples to the README and updated quickstart guides.
  • Integrated documentation and introduced visualizer demo videos.
  • Addressed Python version compatibility notes in the README.

Kerem Yilmaz (ykeremy)

• Recent Commits: 22 commits with 1296 total changes across 42 files in the main branch.
• Key Contributions:
  • Improved browser loading by adding delays in browser_factory.py.
  • Cleaned up executor logic for better performance.
  • Implemented GitHub Actions for syncing between repositories.
  • Updated pyproject.toml and poetry.lock files for dependency management.

Shuchang Zheng (wintonzheng)

• Recent Commits: 5 commits with 7231 total changes across 19 files in the main branch.
• Key Contributions:
  • Enhanced agent capabilities for handling listbox generated from dropdown selections.
  • Added GPT-4 pricing information and error capturing mechanisms.
  • Moved analytics code from scripts to the skyvern module for better organization.

Matias Weber (webermatias)

• Recent Commits: 2 commits with 2 total changes across 2 files in the main branch.
• Key Contributions:
  • Made minor updates to ensure compatibility with Python version requirements.

Patterns and Conclusions

From the commit activity, we can observe several patterns:

1. The development team is actively improving the setup process (setup.sh) and ensuring compatibility with different environments (Docker Postgres integration).
2. There is an ongoing effort to optimize Skyvern's performance by refining executor logic and addressing browser loading issues.
3. The team is attentive to maintaining synchronization between different versions of the repository, indicating a structured approach to managing code across possibly different deployment environments (e.g., open-source vs cloud).
4. Documentation and user guides are being actively updated, suggesting a focus on making the project more accessible to new users or contributors.
5. There is an emphasis on enhancing Skyvern's core capabilities, such as handling complex web interactions and integrating advanced features like GPT-4 pricing.

In conclusion, the Skyvern project exhibits a healthy development trajectory with active contributions from team members focused on both user experience improvements and technical enhancements. The recent activities suggest that the team prioritizes stability, performance optimization, ease of setup, and robust documentation – all critical factors for successful open-source projects.

Quantified Commit Activity Over 14 Days