Journeyman · Tools
Grounded tools that do the work
Journeyman’s scaffold fades as you master a skill — and then you build for real. These 8 software-engineering tools are the acting counterpart to the learning loop: describe the problem, get a structured, cited deliverable. Each is grounded in the corpus (Google SRE and the software-engineering cluster) — no invented APIs. Run over REST or MCP.
Describe a decision — get a clean ADR (Nygard form).
Corpus-grounded (software-engineering cluster). The standard ADR — title, status, context/forces, the decision, options considered with pros/cons, and consequences (positive + negative) — so the why survives the people.
Describe a design — get a senior review with risks + recommendations.
Corpus-grounded (software-engineering cluster). A staff-level review: strengths, risks (severity + mitigation), scalability bottlenecks, failure modes, the open questions the design hasn't answered, and prioritized recommendations.
Describe an incident — get a blameless postmortem with typed action items.
Corpus-grounded (Google SRE via the software-engineering cluster). Blameless: systems/process not people — impact, timeline, systemic root cause, contributing factors, what went well, and action items typed prevent/detect/mitigate.
Describe a system — get a rated, prioritized tech-debt register.
Corpus-grounded (software-engineering cluster). The real debt rated by impact / effort / risk-if-ignored / priority, the quick wins (low-effort/high-impact), and a payoff sequence — distinguishing debt from missing features.
Describe a project — get a context-fit code-review rubric.
Corpus-grounded (software-engineering cluster). A review rubric tailored to the stack/team — categories of checks, what BLOCKS a merge vs. what's a NIT, and what to automate so reviewers aren't human linters.
Describe a service — get user-centric SLIs, SLOs, and an error-budget policy.
Corpus-grounded (Google SRE via the software-engineering cluster). SLIs that reflect real user experience, SLOs (target + window), an error-budget policy (what happens when it's spent), and burn-rate alerting guidance — targets tied to user need, not 100%.
Paste an idea (or book, study, report) — get a PRD-grade, MVP-scoped backlog.
Two LLM passes: source-specific extract, then one strict normalize pass; typed/prioritized requirements with user stories + acceptance criteria; an honest gap report on what's missing or thin.
Get the technical blueprint — architecture, stack, components, phases — for any idea.
The HOW counterpart to Requirements' WHAT; one canonical design shape regardless of source; implementation phases and dependencies included.
Homed on the People Analytics toolbox (the “Systems” lane of the 4-S model); the tool pages and REST endpoints live at peopleanalyst.com/tools. ← Back to learning