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MAXX Potential

Linear Adoption + Agentic Bug Workflow

Replaced scattered per-person QA spreadsheets with Linear and an AI-agent workflow that automates bug filing, triage, and deduplication.

LinearMCPClaude CodeAI AgentsGit
sprint throughput
2×
less bug-filing time
~80%
triage & dedup
Automated

The Problem

QA ran on a patchwork of Google Sheets — each team member kept their own sheet with their own columns. Issues had no status history, no categories or tags, and no record of when anything moved between states. The lead engineer wasn't marking issues complete, so the team had to manually re-test each build to figure out what had actually been fixed.

The Approach

I championed Linear as a single source of truth, chosen specifically for its strong API, Git integration, full issue timeline, and — critically — its MCP server and community CLI tooling. Since the lead engineer was already using Claude Code to convert spreadsheet rows into markdown for triage, I wired Linear directly into that agentic workflow so the AI could fetch and update issues in place instead of copy-pasting.

Before — scattered sheets

Per-person Google Sheets
No status history
Manual re-test every build
Duplicates everywhere

After — automated pipeline

File auto-created in Linear
Dedup comment on existing issue
Triage root cause + context
Implement agentic via MCP
From scattered per-person spreadsheets to an automated file → dedup → triage → implement pipeline.

Challenges

The win wasn't just adopting a tool — it was redesigning the bug lifecycle around automation. Filing and triage are now hands-off: duplicates are detected automatically and appended as comments to the existing issue rather than spawning new ones, and triage surfaces a likely root cause plus the context a developer needs to decide how to approach the fix.

Outcome

The team went from fragmented sheets to an organized, automated pipeline across filing, triage, and implementation — roughly doubling sprint throughput and cutting bug-filing time by about 80%.