I Built an AI Agent to Do My Pre-Refinement. It Turned Into a Mirror of How We Wrote Tickets.
Olexandr Uvarov discusses the development of an AI agent designed to assist with pre-refinement tasks in software development. The agent initially struggled to recognize existing components due to naming discrepancies, leading to redundant recommendations. By creating a comprehensive vocabulary document of existing components, the agent's performance improved significantly.
- ▪The AI agent was intended to streamline the pre-refinement process by analyzing tickets and providing estimates.
- ▪Initially, the agent failed to identify existing components, suggesting new builds instead.
- ▪A vocabulary document listing existing components was created to enhance the agent's understanding and efficiency.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3780647) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Olexandr Uvarov Posted on Apr 28 I Built an AI Agent to Do My Pre-Refinement. It Turned Into a Mirror of How We Wrote Tickets. #ai #agents #llm #productivity 1 hour. Seven hours. Same ticket, same prompt, two days apart. The agent wasn't broken. It was showing me what my team had been doing silently for years. But I'm getting ahead of myself.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV Community.
Discussion
0 commentsMore from DEV Community
