Plain English Architecture
An AI app that scans a company's codebase, engineering blog, and internal docs to produce board-ready plain-English architecture summaries investors, board members, journalists, and compliance teams can actually understand.
startup CTOs and engineering leaders preparing board updates or fundraising materials
- Automated codebase scan with stakeholder-specific summaries (board view vs compliance view vs investor view)
- Auto-generated architecture diagrams with plain-English captions for each component
- Risk and dependency callouts written for non-engineers
- Export to slide deck, memo, or one-page brief formats
Every SaaS company now sits on top of AI components and microservices; non-technical stakeholders increasingly demand clarity but engineering teams still write docs for other engineers.
Real and recurring pain: Swarmia publishes guidance on CTO board updates and Frog Capital offers a CTO Board Reporting toolkit, confirming board-facing engineering communication is a documented, ongoing need.What boards expect from a CTO's engineering update ↗CTO Board Reporting toolkit (PDF) ↗
Crowded on the technology (CodeBoarding, Archscribe, DocuWriter, AI Codebase Scribe, Workik, ArchitectureDiagram.ai all auto-generate docs/diagrams from code), but nearly every competitor targets engineers/architects rather than board members, journalists or compliance teams — the plain-English-for-non-technical-stakeholders positioning is genuinely open.CodeBoarding — Interactive architecture diagrams from code ↗Archscribe — Auto-Generate Technical Design Docs from Code ↗
Willingness to pay is plausible but unproven for this exact buyer/use-case: AI dev-tool tiers reach $100-200/mo (Claude) and technical-due-diligence consultancies charge premium rates, but a CTO paying a recurring subscription just to translate for outsiders is a harder sell than tools that directly help engineers ship code.Claude Subscription Plans & Pricing 2026 ↗SaaS Technical Due Diligence Checklist ↗
Strong tailwinds: AI components, microservices, and regulatory pressure (AI Act, SOC2, vendor due-diligence checklists) keep making architecture transparency mandatory; need will outlast any single codebase-analysis technique.AI Vendor Due Diligence Checklist 2026 ↗Building AI Architecture That Passes Technical Due Diligence ↗
Buildable in months using existing LLMs for code/blog summarization plus static-analysis heuristics for component maps; main risks are depth of architectural inference and keeping summaries current as code changes, but the core stack is well-trodden (cf. AI Codebase Scribe, CodeBoarding).AI-powered documentation generator (ai-codebase-scribe) ↗DocuWriter: AI code documentation tool ↗