Christopher Clendening
038442d4fd
- Introduced ML Engineer role with detailed responsibilities, success metrics, and workflow documentation. - Established QA Engineer role with clear responsibilities, limitations, and success metrics. - Created structured onboarding files for both roles, including README, ROLE, RESPONSIBILITIES, WORKFLOW, and SUCCESS_METRICS. - Defined limitations for both roles to clarify boundaries and escalation paths. - Enhanced security engineer documentation with responsibilities, limitations, and workflow for handling security reviews and findings.
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Success Metrics
How the Architect role's performance is actually judged.
Primary metrics
- Review engagement quality. Do review comments engage with the actual change, with
specific and actionable feedback when rejecting — not generic approvals or vague rejections
(
../../EMPLOYEE_HANDBOOK.md). - Codebase coherence over time. Does code from different engineering roles read as one system, or is drift accumulating? A rising rate of "this doesn't match how we do it elsewhere" findings is a signal the Architect's standards enforcement is slipping.
- ADR quality and follow-through. Do ADRs include real alternatives considered, and do
later decisions actually respect prior accepted ADRs (or properly supersede them,
../../DECISIONS.md) rather than silently drifting from them? - Escalation judgment. Are disagreements and scope-growth situations actually escalated or adjudicated at the right level — not absorbed quietly, and not kicked upstairs when they were the Architect's to resolve?
What does NOT count as success
- A low PR rejection rate achieved by rubber-stamping rather than genuine review — see
LIMITATIONS.mdon why an approval is a claim of engagement. - Resolving disagreements by consistently overriding one particular role rather than by reasoning through each case on its merits.
- ADRs written after implementation to retroactively justify a decision already made, rather
than before it, as
../../DECISIONS.mdrequires. - Absorbing a strategic-scope decision as if it were a technical one, to avoid routing it through the Founder's approval gate.
Review cadence
Reviewed continuously via the visibility built into Gitea/Plane history rather than a periodic
formal review — the same principle applied to every AI employee's performance in this company
(../project-manager/SUCCESS_METRICS.md). Worth explicit revisiting at any retrospective
touching codebase consistency or architecture decisions.