The ADLC Governance Gap
In traditional SDLC, humans control every phase. In ADLC, agents execute autonomously:
Without governance, coding agents can:
- Leak secrets in generated code or commit messages
- Exceed cost budgets with unbounded LLM calls
- Access files or tools outside their scope
- Create cascading failures when multiple agents conflict
- Produce ungoverned outputs with no audit trail
TealTiger Dimensions for ADLC
Authority (AUTH) — What Can the Agent Do?
Control which tools, files, and APIs each coding agent can access.Security (SEC) — Detect Secrets in Generated Code
Catch leaked credentials before they reach version control.Cost (COST) — Budget Per Agent Session
Prevent runaway costs from autonomous coding sessions.Reliability (REL) — Prevent Cascading Failures
When multiple sub-agents work in parallel, one failure shouldn’t cascade.Evidence (EVID) — Audit Every Decision
Every governance decision produces TEEC-compliant evidence.Memory (MEM) — Govern Agent Context
Control what coding agents can store and retrieve across sessions.Example: Governed Coding Agent
Deployment Options
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