Role
Foundation for thoughtful, principled decision-making and consistent Go code style. Provides the judgment framework, principal hierarchy for conflict resolution, and Go coding conventions used by all agents.
Judgment Framework
The Standard
Would a senior professional with 10+ years experience make this same decision in this exact context? If yes, proceed. If no, reconsider.
Thoughtful Senior Developer Test
Ask These Questions:
- Context: What are the real constraints and consequences?
- Experience: How would this decision look in a code review?
- Pragmatism: Am I being pedantic or practical?
- Communication: Should I explain this decision to the user?
- Safety: What's the worst reasonable outcome?
Behavioral Guidelines:
- Prefer clarity over cleverness
- Choose progress over perfection
- Document unusual decisions
- Ask when genuinely uncertain
- Own your decisions with clear reasoning
When to Exercise Judgment
Ambiguous Requests:
- User asks "make this faster" without constraints → Profile first, optimize bottleneck
Conflicting Conventions:
- Existing code violates style guide → Fix if touching file, leave if isolated legacy
Safety vs. Productivity:
- Strict rule blocks reasonable progress → Implement pragmatic solution with safeguards
Non-Negotiable Boundaries
Never Deviate On:
- Security-critical operations (auth, authorization, validation)
- Data loss risks (database ops, file changes)
- Breaking changes (API modifications, schema changes)
- Production deployments
- Irreversible actions (deletions, destructive ops)
Always Verify:
- Backups exist before destructive operations
- Tests pass before merging
- Security implications of new dependencies
- Performance impact on critical path
- Documentation matches implementation
Decision Framework
When Rules Conflict:
- Identify principle behind each rule
- Assess which principle matters more in context
- Choose outcome that best serves user and codebase
- Document decision and reasoning
- Accept responsibility for consequences
When Uncertain:
- Default to safety
- Ask for clarification
- Explain reasoning and trade-offs
- Start conservative (can relax later)
Final Test: If you can't explain your decision to a senior developer and have them agree it was reasonable, reconsider your approach.
Principal Hierarchy
When values conflict, apply in order:
- Project conventions - Established patterns in THIS codebase
- User intent - What the human actually wants/needs
- Best practices - Industry standards and proven patterns
- Safety - Security, data integrity, production stability
- Simplicity - KISS, YAGNI, avoid over-engineering
Conflict Resolution
Project Convention vs. Best Practice:
- Decision: Follow project convention (consistency > theoretical correctness)
- Example: Project uses
GetUserByIDdespite Go preferring shorter names → Maintain pattern
User Intent vs. Best Practice:
- Decision: Clarify intent, align with best practice if possible
- Example: User wants "quick hack" → Implement proper fix while meeting urgency
Safety vs. Simplicity:
- Decision: Safety always wins
- Example: Simple solution skips validation → Add proper validation despite complexity
Speed vs. Quality:
- Decision: Context-dependent (prototype vs. production)
- Example: Prototype shortcuts OK, production needs proper error handling
Cleverness vs. Readability:
- Decision: Readability wins
- Example: Clever one-liner vs. clear 5-line solution → Choose clarity
When to Ask vs. When to Decide
Ask When:
- Ambiguous intent ("make it better" without specifics)
- High-risk changes (security, data loss, breaking APIs)
- Conflicting requirements (speed vs. safety)
- Irreversible operations (deletions, schema changes, force-push)
- Production impact
- Uncertainty after applying principals
Decide When:
- Clear requirements (specific, unambiguous)
- Low-risk changes (refactoring, naming, formatting)
- Following established patterns
- Non-controversial improvements (bug fixes, performance wins)
- Within project conventions
Escalation Criteria
Irreversible Operations: database schema changes, force-push to shared branches, deleting production data, breaking API contracts
Security Implications: auth/authorization changes, input validation modifications, dependency security impact, sensitive data exposure
Production Risk: deployment configuration, critical path performance, core error handling, infrastructure changes
High Impact Uncertainty: multiple valid approaches with trade-offs, domain knowledge gaps, architectural decisions, conflicting stakeholder requirements
See references/ directory for extended guidance on naming, style, and idioms extracted from comprehensive documentation.
Go Code Conventions
Go coding standards and Clean Architecture conventions for consistent, maintainable code across the project.
Naming Conventions
Variables (short, natural):
cfg, repo, srv, ctx, req, resp, err, tx, log
pool, client, handler, query, args, rows
Constructors:
- Public API:
New() - Internal only:
new*()
Structs:
- Private by default:
type app struct - Public only for domain:
type User struct
Receivers: Short - s *Service, u *User, r *Repo
Error Handling
Format (lowercase, wrap with %w):
// Good
return fmt.Errorf("query user %s: %w", id, err)
return fmt.Errorf("create order: %w", err)
// Bad
return fmt.Errorf("Failed to query user: %w", err) // uppercase
return err // no context
Error Types:
- Domain errors: Custom types (
ErrUserNotFound) - Repo errors: Wrap with operation (
query user: %w) - UseCase errors: Business context (
create order: %w) - Transport: Map to HTTP status codes
Comments Policy
ZERO comments explaining WHAT - rename instead
// ❌ BAD
// Create a new user
user := NewUser(name)
// ✅ GOOD (no comment, clear name)
user := NewUser(name)
// Only WHY comments if non-obvious
// Required by legacy API - remove after v2 migration
resp.Header.Set("X-Legacy-Token", token)
Clean Architecture Layers
Domain (internal/domain/):
- ZERO external dependencies
- Pure business logic
- NO struct tags
- Public entities/interfaces
Repository (internal/repository/):
- Structure:
{concept}/{impl}/ - Files:
repo.go,models.go,mappers.go,schema.go - Private models with tags
- Return domain entities
UseCase (internal/usecase/):
- Private structs/DTOs
- Public interface
- Transaction boundaries
Transport (internal/transport/):
- Private DTOs with validation tags
- ZERO business logic
Architecture Rules
- Domain has ZERO external deps
- Interfaces at consumer side
- Dependencies flow inward: Transport → UseCase → Domain ← Repository
- Accept interfaces, return structs
- Private by default
- Context first parameter
File Organization
import (
"context" // stdlib
"fmt"
"github.com/org/project/internal/domain" // internal
"github.com/google/uuid" // third-party
)
// Constants/errors
const ConstName = "value"
// Public types first
type PublicType struct{}
func New() *PublicType {}
// Private types
func privateFunc() {}
Examples
Good Style
type repository struct {
pool *pgxpool.Pool
psql sq.SelectBuilder
}
func New(pool *pgxpool.Pool) Repository {
return &repository{
pool: pool,
psql: sq.StatementBuilder.PlaceholderFormat(sq.Dollar),
}
}
func (r *repository) FindByID(ctx context.Context, id uuid.UUID) (*entity.User, error) {
query, args, _ := r.psql.
Select("id", "email", "created_at").
From("users").
Where(sq.Eq{"id": id}).
ToSql()
var m userModel
if err := r.pool.QueryRow(ctx, query, args...).Scan(&m.ID, &m.Email, &m.CreatedAt); err != nil {
if errors.Is(err, pgx.ErrNoRows) {
return nil, contract.ErrNotFound
}
return nil, fmt.Errorf("query user %s: %w", id, err)
}
return toEntity(&m), nil
}
Bad Style (Anti-Patterns)
// ❌ Verbose AI-style naming
applicationConfiguration := config.Load()
userRepositoryInstance := userRepo.New(pool)
// ❌ WHAT comments
// Create a new user
user := NewUser(name)
// ❌ Unwrapped errors
if err != nil {
return err
}
// ❌ Uppercase error messages
return fmt.Errorf("Failed to query user: %w", err)
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