AI agent skips requirements/test cases and writes code without approval — causes cascading failures

# GitHub Issue: AI Agent Repeatedly Violates Requirements-First Process

## Title
AI agent skips requirements/test cases and writes code without approval — causes cascading failures

## Labels
`process`, `incident`, `ai-tooling`

## Description

The AI coding agent (Kiro) repeatedly violates the established workflow:

1. Requirements document
2. Test cases
3. User approval
4. Implementation

Instead it jumps directly to code, introduces bugs, then spends hours debugging issues that would have been caught by step 1.

## Examples from Aug 14–20

| Date | Violation | Impact |
|------|-----------|--------|
| Aug 14 | NAT instance terraform — no requirements, used `yum` on AL2023 | 3+ hours debugging, instance never worked |
| Aug 14 | Scanner `scan.sh` — wrong git auth format, used `/tmp` | All clones failed, multiple rebuild cycles |
| Aug 15 | VPC endpoints — deployed SSM only, missed ECR/S3/DynamoDB | Scanner couldn't pull image |
| Aug 20 | Missing security group on ECS task | Task stuck in PENDING, another hour wasted |
| Aug 20 | Asked user "do you want requirements?" instead of defaulting to them | User had to correct again |
| Multiple | Gave raw copy-paste commands instead of scripts | Not repeatable, not logged, not auditable |

## Root Cause

Agent prioritizes speed over correctness. It tries to "complete fast" by skipping process steps, which paradoxically makes everything take 5–10x longer due to cascading failures.

## Expected Behavior

1. **Never write ANY code without requirements + test cases + approval** — infra, application, scripts, Dockerfiles, all of it
2. **Never give raw commands** — always a script with logging, SSO check, error handling
3. **Research before implementing** — check docs, package managers, auth formats BEFORE writing code
4. **Default to requirements** — don't ask "should I write requirements?" — just do it
5. **Validate assumptions** — if code depends on an external system, verify it works on that system BEFORE writing

## Acceptance Criteria

- [ ] Zero process violations in next session
- [ ] Every infrastructure change has requirements → tests → approval → implementation
- [ ] Every action delivered as a script, never raw commands
- [ ] Research/verification done BEFORE code, not after failure

## Cost

Conservative estimate: 6+ hours of user time wasted across Aug 14–20 debugging issues that should never have existed.

Es ist keine Repository-Datei, kein Test und kein Agent-Einstiegspunkt angegeben; beginne damit, den Workflow zu finden, der Planung und Genehmigung behandelt, und untersuche anschließend die im Issue genannten Terraform-Arbeiten und scan.sh-Beispiele. Als erledigt gilt die Erfüllung der aufgeführten Akzeptanzkriterien: Anforderungen und Tests gehen der Genehmigung und Implementierung voraus, Aktionen werden als Skripte bereitgestellt, und externe Annahmen werden zuerst überprüft.

Vom Indexierungsmodell aus dem Issue-Text verfasst.