New sample • for SaaS teams, software agencies, and AI automation studios using coding agents

Using Claude Code, Cursor, Codex or MCP tools? Make agent-assisted work reviewable before it scales.

This public sample shows a restrained Coding Agent Ops Starter Audit: session observability, cost stop-rules, secret/data boundaries, PR evidence, and team SOPs — without repo login, secrets, or security-certification claims.

41/60starter score for the representative sample team
A$149–299one workflow audit using public/redacted evidence
48–72hscorecard, PR checklist, SOP outline, tool-boundary notes

Representative sample: 6-person SaaS studio with agent-assisted PRs

This is a fictional/composite sample inspired by public discussion around coding-agent dashboards, templates, memory, MCP tools, and governance. It is not a certified security audit, compliance review, code guarantee, or promise of lower tool spend.

Session observabilityNeeds work
Commits exist, but the team cannot easily replay why an agent chose tools, where context was lost, or which session created a risky diff.
Cost controlTestable
Subscriptions are tracked individually, but no project budget owner, expensive-model policy, or stop-rule exists for looping debug sessions.
MCP/tool boundaryDrift risk
Filesystem and browser tools are useful, but repo-level allow/deny notes are missing for secrets, customer exports, and production admin pages.
PR evidenceMerge risk
Agent-assisted changes touching auth, billing, email, data export, or deploy code need test commands, browser proof, and rollback notes.
Team SOPQuick win
Senior developers have good habits; new contractors need a short approved template pack and `/docs/agent-ops.md` starter SOP.
Claims boundaryRewrite
Avoid “fully autonomous”, “safe by default”, and guaranteed cost/time savings in client-facing AI delivery copy.

20-point starter checklist

Observability: session summary per PR, risky tool actions noted, failed loops recorded, agent-assisted changes labelled.
Cost and time control: project budget owner, stop-rule for debugging loops, expensive-model policy, split long sessions into reviewable chunks.
Data and tool boundaries: no secrets/customer exports/private logs in unmanaged context; MCP allow/deny notes; contractor rules before access.
Review and regression: human acceptance notes for auth/billing/email/data/deploy changes, tests run, browser proof, dependency-update cooldown/override evidence, command-guardrail allow/block/degraded-mode fixtures, and rollback path.
Team SOP: approved prompt templates, onboarding checklist, weekly workflow retro, and restrained client-facing claims.

What the paid LaunchReady add-on would return

A concise founder/team-readable report covering: 1-page scorecard, 5–10 prioritized session/cost/security/process risks, repo-ready `/docs/agent-ops.md` starter outline, PR evidence checklist, MCP/tool boundary checklist, and optional team workshop agenda. Production repo access or implementation work requires separate explicit authorization.