Strategy and Product
Technical documentation
Good documentation lowers internal CAC: new engineers and integration partners ramp faster, incidents close with less ping-pong, and technical sales stop promising what the code cannot support.
We start from the audience: API consumer developer, on-call SRE, data analyst, or security team. We define minimum viable precision (contracts, runnable examples, error codes) before writing an unmaintained “encyclopedia”.
For startups we prioritize short ADRs, operational README, and OpenAPI generated or maintained in the pipeline; for mature products we align with observability design, versioning policy, and doc publication SLAs.
Portfolio of Technical documentation
Deliverables
OpenAPI / API contracts
Reviewed spec with examples and error codes.
Prioritized ADRs
Architectural decisions with context, rejected options, and consequences.
Operational runbooks
Common incidents, checks, rollback, and escalation contacts.
Developer onboarding guide
Local run, env vars, mocks, and PR flow.
Event and schema catalog
For data teams and async integrations.
Documentation quality checklist
Minimum bar before release (links, examples, changelog).
Execution methodology
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Audience and gap audit
Who reads what today; where tribal knowledge lives; which integrations drive the most tickets.
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Information model and standards
Templates (ADR, endpoint, runbook), technical voice, versioning conventions, and ownership by area.
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Authoring and runnable examples
Snippets in common languages, Postman/Insomnia collections when useful, and documented error cases.
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Diagrams and architecture
C4 at the right level, data flows, and trust boundaries between services.
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Publishing and governance
Review pipeline, CI to fail when OpenAPI drifts, and communicated deprecation cadence.
