Files
mev-beta/orig/@prompts/testing.md
Administrator c54c569f30 refactor: move all remaining files to orig/ directory
Completed clean root directory structure:
- Root now contains only: .git, .env, docs/, orig/
- Moved all remaining files and directories to orig/:
  - Config files (.claude, .dockerignore, .drone.yml, etc.)
  - All .env variants (except active .env)
  - Git config (.gitconfig, .github, .gitignore, etc.)
  - Tool configs (.golangci.yml, .revive.toml, etc.)
  - Documentation (*.md files, @prompts)
  - Build files (Dockerfiles, Makefile, go.mod, go.sum)
  - Docker compose files
  - All source directories (scripts, tests, tools, etc.)
  - Runtime directories (logs, monitoring, reports)
  - Dependency files (node_modules, lib, cache)
  - Special files (--delete)

- Removed empty runtime directories (bin/, data/)

V2 structure is now clean:
- docs/planning/ - V2 planning documents
- orig/ - Complete V1 codebase preserved
- .env - Active environment config (not in git)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-10 10:53:05 +01:00

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1.1 KiB
Markdown

You are an expert in Go testing and test-driven development. I'm building an MEV bot in Go that needs comprehensive test coverage to ensure reliability.
I need help with:
1. Creating unit tests for Uniswap V3 pricing calculations
2. Implementing integration tests for Arbitrum monitoring
3. Creating mock contracts and transactions for testing
4. Testing market scanning algorithms with real-world data
5. Implementing property-based testing for mathematical functions
6. Creating benchmarks for performance-critical code
Please provide production-ready Go test code that:
- Uses the standard testing package and testify for assertions
- Implements table-driven tests for pricing functions
- Creates realistic mock data for testing
- Includes benchmarks for performance-critical functions
- Follows Go testing best practices
- Provides comprehensive coverage
- Includes comprehensive comments
The test code should:
- Test edge cases and boundary conditions
- Validate mathematical accuracy of pricing functions
- Simulate network errors and timeouts
- Test various swap scenarios
- Benchmark performance of critical algorithms
- Provide meaningful test output