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AI-Native SDLC — Whole-Model View

Thirteen dimensions, five maturity levels each. Hover a cell for its definition; click it (or the popover’s own link) for the transition and full detail.

DimensionNascentModeledContinuousIntegralTelemetric
D1Market discovery & definition
Ad hoc AI use, by preference, no shared method.
Consistent AI method exists, still one function's own.
AI discovery runs continuously now, still function-owned only.
Functions share one AI model, still hand-render it.
AI auto-renders each function's view from one model.
D2Buyer & user persona development
Ad hoc AI use, individual preference only, inconsistent.
Consistent AI synthesis exists, but personas ship static.
AI keeps personas live against real usage signal.
Functions consume shared AI persona model, still hand-adapting.
AI auto-generates each function's persona view directly.
D3Positioning & competitive intelligence
Ad hoc AI use, no shared method, inconsistent.
Consistent AI monitoring exists, one function's own cadence.
AI competitive monitoring is continuous now, not periodic.
Functions draw on shared AI model, still hand-rendering.
AI auto-generates each function's positioning view directly.
D4Requirements management
No AI role; informal tickets, no real structure.
No AI role; shared record, purely human traceability.
No AI role; shared human access to specs.
AI generates code and tests directly from spec.
AI generates both directions, spec to artifact, back.
D5Prototyping
No AI governance role; the boundary stays undefined.
AI-assisted prototyping exists; human decides case by case.
Human makes a documented carry-forward call, after building.
Same human criteria now applied while actively building.
Spec, prototype, and test built together; human call near-free.
D6Architecture governance
Tribal knowledge only; no AI involvement at all.
Humans write code; humans manually enforce it against docs.
Deterministic tooling, not AI judgment, catches common violations.
Agents apply the encoded rules during their own generation.
Agents propose rule changes; a human architect still approves.
D7Test-driven development
Humans write tests only after the code exists.
Humans write tests first, manually translated from the spec.
AI derives tests directly from the spec, repeatably.
AI generates tests as the spec itself is written.
Spec, test, and prototype generation fused, scaling with volume.
D8Code verification & review
Only human review exists; there is no automation.
Non-AI gates run first; humans still review everything uniformly.
Humans triage by risk; low-risk clears on automation alone.
An independent AI reviewer performs first-pass review, separately.
The AI reviewer's own accuracy is checked against outcomes.
D9Environment management
No environment separation exists; this is entirely manual.
Environments exist but are manually provisioned by a human.
Environments are defined as code; a human still triggers.
A human action triggers on-demand provisioning from templates.
Agents self-provision and tear down within human-set policy.
D10Release discipline
Releases are fully human-gated, on a fixed cadence.
Automated gates run; human approval and comms remain manual.
Deploys trigger automatically on passing gates; rollback stays exceptional.
Approval, compliance, and rollback are fully automated, policy-governed.
Live system signals govern expansion or rollback of releases.
D11Security & compliance
No containment or identity; agent actions go untracked.
Sandboxed with pre-checks, but no distinct agent identity yet.
Agent actions are now attributable, though still bypassable individually.
Gates mandatory, non-bypassable; agent tooling tracked as risk.
Policy is enforced live; an agent can be halted.
D12Instrumentation & observability
Monitoring covers infrastructure only; no AI structuring exists.
AI generation produces some trace, but it goes unretained.
AI traces are retained systematically, diagnosing failure patterns.
AI's own role in runtime decisions is separately traced.
Build, runtime, and production telemetry are all equally visible.
D13Feedback loop velocity
No AI role; cycle time is simply unmeasured.
No AI role; humans measure cycle time retrospectively only.
Cycle time is tracked continuously; humans name the bottleneck.
Fixing the bottleneck is funded like ordinary feature work.
AI evidence and fixing compress response time to days.
A — Nascent B — Modeled C — Continuous D — Integral E — Telemetric⚠ = open review item

Currency basis: short-form cells current at main; full model text pinned at cb6ffd1. These are different bases, so this page can render content from more than one point in its sources' history.

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