TDD-0001: Template

MetadataValue
StatusDraft | In Review | Approved | In Progress | Complete
CreatedYYYY-MM-DD
Author(s)@username
RFCRFC-NNNN (if applicable)
Epic/TicketPROJ-123

Context

Link to the RFC (if any) and provide a brief summary of what we’re building and why.

Background

Technical context needed to understand this design.

Problem Summary

One paragraph recap of the problem from the RFC.

Requirements

Functional Requirements

IDRequirementPriority
FR-1Must
FR-2Should
FR-3Could

Non-Functional Requirements

CategoryRequirementTarget
PerformanceResponse time< 200ms p99
ReliabilityUptime99.9%
ScalabilityConcurrent users1000+
MaintainabilityTest coverage> 80%

Proposed Architecture

System Overview

High-level diagram showing components and their interactions.

flowchart TB
  A[Component A] --> B[Component B]
  B --> C[Component C]

Components Involved

ComponentResponsibilityChanges Required
Component ANew / Modified / None
Component BNew / Modified / None

Key Dependencies

DependencyVersionPurpose
Library X^2.0.0
Service Yv1 API

Failure Modes

FailureImpactMitigation
Service Y unavailableCircuit breaker, fallback
Database timeoutRetry with backoff

Interfaces

API Endpoints

GET  /api/resource
POST /api/resource
PUT  /api/resource/:id

Data Contracts

Request/response schemas, event payloads.

1
2
3
4
5
6
{
  "field": "type",
  "nested": {
    "property": "value"
  }
}

Events (if applicable)

EventTriggerPayloadConsumers
resource.createdPOST success{ id, ... }Service Z

Implementation Plan

Phase 1: Foundation

TaskOwnerEstimateDependencies
Task 1@dev2dNone
Task 2@dev3dTask 1

Phase 2: Core Features

TaskOwnerEstimateDependencies
Task 3@dev5dPhase 1
Task 4@dev3dTask 3

Phase 3: Polish & Launch

TaskOwnerEstimateDependencies
Task 5@dev2dPhase 2

Testing Plan

Unit Tests

What components/functions will have unit tests? Target coverage?

Integration Tests

What integrations will be tested? Test environment setup?

End-to-End Tests

Critical user flows to cover. Test data requirements.

Performance Tests

Load testing approach, benchmarks, tools.

Operational Plan

Observability

TypeImplementation
LogsStructured JSON, correlation IDs
MetricsRequest rate, latency, error rate
TracesDistributed tracing with context propagation

Alerts

AlertConditionSeverityRunbook
High error rate> 1% errors/5minP1Link
Latency spikep99 > 500msP2Link

Runbook Notes

Key operational procedures, common issues, debugging tips.

AI Integration (if applicable)

Skip this section if the feature doesn’t involve AI/LLM components.

Model Selection

RequirementModel OptionTrade-offs
SpeedGPT-3.5, Claude InstantLower quality
QualityGPT-4o, Claude 3.5 SonnetHigher cost/latency
PrivacyLocal models (Ollama)Infrastructure overhead

Prompt Specifications

Link to prompt templates or define inline.

PromptPurposeTemplate
SystemAgent personaPROMPT-NNNN
TaskMain taskInline below

AI Testing Strategy

Evaluation Dataset

CategoryCountSource
Golden set100Manual curation
Edge cases50Bug reports, adversarial
Regression200Production samples

Evaluation Metrics

MetricTargetMeasurement Method
Accuracy> 90%Human eval on golden set
Hallucination rate< 5%Factual verification
Latency (p95)< 3sAutomated benchmark
Cost per request< $0.01Token tracking

AI-Specific Test Cases

  • Model timeout handling
  • Rate limit handling
  • Invalid/malformed responses
  • Content filter triggers
  • Prompt injection attempts

Guardrails Implementation

GuardrailImplementation
Input validationSchema validation, length limits
Output validationJSON schema, content filtering
Rate limitingPer-user, per-org limits
Cost controlsBudget caps, alerts

Reference: See Agent Design Doc for detailed agent specifications.

Risks & Mitigations

RiskLikelihoodImpactMitigation
Risk 1MediumHighMitigation strategy
Risk 2LowMediumMitigation strategy

Out of Scope

Explicitly list what this TDD does NOT cover.

  • Out of scope item 1
  • Out of scope item 2

References