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Enhancing Development Workflow with Mastra.ai

Mastra.ai streamlines the development process by orchestrating tasks outside of LLMs, allowing for efficient ticket implementation.

Time saved
0h / week
Setup time
Not stated
Running cost
Not stated
Cost range
Free

The problem it solves

Managing development workflows can be cumbersome, especially when relying heavily on LLMs for orchestration. This can lead to inefficiencies and a lack of control over the development process.

How it flows
  1. Orchestration
  2. Implementation
  3. Review
  4. PR Flow

Step-by-step setup

  1. Start Implementation

    Use the command 'pnpm factory start-implementation 500' to initiate the ticket implementation process.

  2. Plan Development

    Mastra.ai helps in planning the development tasks effectively, ensuring all aspects are covered.

  3. Build and Review

    Once the implementation is started, the framework manages the build and review stages seamlessly.

Coding · Advanced
  1. Write migration plan
  2. Agent edits in batches
  3. Tests per batch

Ship a 40-file refactor with a coding agent

Plan, execute and review a cross-cutting refactor in small batches, with Claude Code making the edits and GitHub Copilot reviewing each PR.

Claude Code · GitHub Copilot
Coding · Intermediate
  1. PR opened
  2. Copilot inline review
  3. Claude risk summary

Automated first-pass review on every pull request

Copilot and Claude review each PR for bugs, missing tests and risky changes before a human looks, so reviewers can focus on design.

GitHub Copilot · Claude · Slack
Coding · Advanced
  1. Run coverage
  2. Pick 3 riskiest files
  3. Write + run tests

Generate missing unit tests for untested modules

Claude Code reads your coverage report, picks the riskiest untested modules and writes unit tests that pass, one small PR at a time.

Claude Code · GitHub Copilot · Slack