This is a submission for the 2026 WeCoded Challenge: Echoes of Experience
As agile coach, I’ve learned that real progress happens when powerful tools become approachable. Jira is incredibly capable, but not always easy to use end-to-end. Over the past year, through Vibe coding, I built a valuable software suite that extracts data with a clean, user-friendly UX. This journey didn’t stop there: I refactored multiple applications into a single suite, enabling rapid adaptation to new needs with minimal rewriting.
Today, I’m excited to share a concrete example of “reuse, reliability, and responsiveness” in action, the JiraAttachmentsRetriever, created by extending the JiraAnalyzerSuite. The goal: a production ready, unit test covered, well logged tool that makes Jira data accessible and actionable with minimal friction.
Approach:
Reuse: Leveraged the JiraAnalyzerSuite codebase to maximize reuse, ensuring consistent behavior and architecture. ♻️
Efficiency: Implemented a lightweight, production ready Python waitress app with strong caching and robust logging and error handling to prevent Jira issues. ⚡️🪵
Functionality (core goals):
Accept inputs: server URL, access token, and Jira query (including comma-separated Epics list). 🔗
Scan returned items to detect attachments. 📎
Generate a modern report linking tickets to their attachments. 📑🔗
Support hierarchical queries: if Epics are provided, traverse child issues to include all related items. 🧭
Quality: 48 unit tests passed, clear structure, and an emphasis on reliability and observability. 🧪✅
Prompt example
I used exactly this in GitHub Copilot:
"Considering the JiraAnalyzerSuite I need to create a new application named JiraAttachmentsRetriever with the same guidelines: reusing the suite code as much as possible, provide an efficient test coverage, provide production ready logging and error management to prevent jira trouble, which enable me to:
- getting the usual input (server url, access token, jira query) elaborate the scan of the returned elements and check if they have any attachments.
- Create a simple but modern and nice report which enable me to see the ticket URL and the link to the attachments uploaded to the ticket. if the input is a comma separated list of epics, the application should check in all the child connected to the epic."
I was able to obtain in less than 30 min a working python waitress application with 48 unit test passed and a well structured caching approach and logging.
Impact:
Faster, safer Jira data retrieval with a clean UX for end users. 💡
A scalable pattern for future integrations, reducing time to value for new needs. 🚀
Demonstrates how disciplined engineering practices empower teams to solve complex problems without reinventing the wheel. 🧩
Lessons learned:
Start with reuse and clear interfaces; you’ll save time and reduce risk when requirements evolve. 🧭
Invest in test coverage and good logging early to prevent production hiccups. 🧰
Communicate value with tangible outputs (screenshots, results) to keep stakeholders aligned. 📷
Front end input console image
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