Developer Report - Jay

Jan 1 — Feb 28, 2026

# Jay

Android Developer • Kotlin, Jetpack Compose

Total Sessions
117
AI-assisted development
Deep Dives
50
Complex problem exploration
Spec Quality
Top
Best-structured prompts on team
Primary Strength
You excel at providing comprehensive, well-structured requirements. When you write detailed specs with clear acceptance criteria, you set both yourself and the AI up for success.
Session Patterns
Prompt Categories
General Tasks
51%
Exploration
21%
Code Review
12%
Detailed Specs
10%
Session Outcomes
Exploration
68%
Partial Success
24%
Full Resolution
8%
Analysis
Pattern Recognition

You're in an active learning phase on a complex codebase. Your sessions show deep curiosity about library features, pagination systems, and local storage.

Technical Context

40% of sessions involved the AI struggling to locate files—not due to prompting quality, but likely due to project mounting in the AI environment.

Workflow Tips
1
Provide File Path Anchors

Since environment discovery sometimes fails, include specific file paths in your initial prompt:

`Look at feature/library/data/LibraryRepository.kt and feature/library/domain/usecases/AddToLibraryUseCase.kt`
2
Scope Complex Features

Break multi-part features into focused iterations:

- Iteration 1: Understand current implementation
- Iteration 2: Design the new approach
- Iteration 3: Implement and verify

3
Environment Verification

At session start, verify access to prevent wasted iterations:

`List files in feature/library/ to confirm access`
Notable Patterns
✓
Persistent Learner

Even when sessions didn't complete, you gained context that carried into future work.

✓
Specification Quality

Your detailed spec prompts show strong requirements communication skills.

Android Kotlin Jetpack Compose Library Features