Developer Report - Ajay

Analysis Period: Jan 1 — Feb 28, 2026

# Ajay

Backend Developer • Go, Infrastructure, Caching

Total Sessions
98
AI-assisted development
Complex Tasks
50
Infrastructure & migration
Persistence
42%
Sessions with incremental wins
Primary Strength: Persistence
You have the highest partial success rate on the team (42%). When others might abandon complex problems, you persist with infrastructure work and extract real value.
Session Patterns
Prompt Categories
General Tasks
49%
Detailed Specs
21%
Code Review
17%
Exploration
7%
Session Outcomes
Partial Success
42%
Exploration
36%
Full Resolution
22%

Your high partial success rate indicates deep engagement with complex infrastructure problems.

Analysis
Work Characterization

You're doing foundational infrastructure work—database migrations, caching layers, queue workers. These are inherently complex tasks.

Success Pattern

When you provide file paths and narrow scope, you succeed. Specificity is your leverage point.

Workflow Tips
1
Lead with File Paths

The AI often struggles with Go project structure discovery. Provide known paths upfront:

`In cmd/queueworker/main.go and internal/cache/redis.go, I need to migrate Redis to Valkey.`
2
Narrow the Scope

Your exploration and multi-task prompts have higher trouble scores. Reframe broad requests:

- Instead: "Fill the gaps to make this production ready"
- Prefer: "Add graceful shutdown to cmd/queueworker. Show me where to add signal handling."

3
Reference Existing Patterns

When migrating, point to working implementations:

`We have a working Valkey connection in internal/cache/valkey.go. Use that pattern.`
Notable Patterns
✓
Infrastructure Leadership

You're tackling the hardest backend work—database migrations, caching systems, queue workers.

✓
Self-Rescue Capability

You rescued 4 sessions independently when the AI went off track. Strong engineering judgment.

Go Backend Redis→Valkey Queue Workers