Eraser

Eraser is the AI-powered technical documentation and diagram platform built for engineering teams, founded in 2021 by Shane Stillwell. The pitch is direct: technical documentation is universally painful — engineers hate writing it, but teams desperately need it. Eraser combines AI-generated documentation, diagrams-as-code, and collaborative editing into a single platform purpose-built for engineering documentation workflows. With significant traction among modern engineering teams in 2024-2025, Eraser has emerged as one of the leading tools for solving the technical documentation problem. What makes Eraser resonate with engineering teams is the AI generation + diagrams-as-code + technical depth. Most documentation tools (Notion, Confluence, GitBook) are general-purpose with weak technical features. Eraser is engineering-specific: AI generates technical documentation from code/specs, diagrams render from text descriptions (similar to Mermaid but better), the editor supports markdown + technical formatting + code blocks natively. The result: engineering teams actually produce + maintain documentation that previously got skipped. The core feature set: • **AI-generated documentation** — describe what you want, AI generates technical docs with diagrams • **Diagrams-as-code** — text-based diagram syntax that renders to professional diagrams • **Diagram types** — flowcharts, architecture diagrams, sequence diagrams, ER diagrams, network diagrams, cloud architecture (AWS/GCP/Azure) • **Markdown editor** — clean technical writing with code blocks, syntax highlighting, embeds • **Real-time collaboration** — multi-user editing with cursors + comments (like Figma for docs) • **AI Copilot** — inline AI assistance for writing technical content • **Templates** — pre-built templates for common technical docs (API docs, system design, runbooks, RFCs) • **Code integration** — link docs to code repositories + auto-update when code changes • **Cloud icons + provider-specific** — AWS, GCP, Azure architecture icons built-in • **Export options** — markdown, PDF, SVG diagrams for embedding elsewhere • **Slack/GitHub/Linear integrations** — link docs to discussions + issues + PRs • **Custom embed** — embed Eraser diagrams in Notion, Confluence, GitHub README • **Version history** — full version control for documents + diagrams • **Team workspaces** — multi-user collaboration with permissions • **API access** — programmatic doc + diagram generation • **Public sharing** — share docs publicly with custom URLs For engineering teams + technical founders + developers + DevOps the use cases: • **System architecture documentation** — document system design with auto-rendered diagrams • **API documentation** — generate + maintain API docs alongside code • **Engineering RFCs + design docs** — technical specs for proposed changes • **Onboarding documentation** — new engineer onboarding guides with system overview • **Runbooks + incident response** — operational documentation for production systems • **Cloud architecture diagrams** — AWS/GCP/Azure system designs for review + reference • **Sequence diagrams** — document interactions between services + components • **Database schema documentation** — ER diagrams + table descriptions • **DevOps + infrastructure docs** — Kubernetes + Terraform documentation • **Public engineering blogs** — technical articles with embedded diagrams The pricing is tiered for solo → enterprise. Free tier covers limited diagrams + AI generations + 3 collaborators. Pro at $10/user/month (annual) unlocks unlimited diagrams + AI + Pro features. Teams at $20/user/month adds team management + advanced features. Enterprise custom for larger organizations + SSO + compliance. Compared to Notion ($10-$15/user/month for general workspace) or Confluence ($6+/user/month for enterprise wiki), Eraser is competitive + specialised for technical use cases. Compared to Mermaid (free diagrams-as-code), Eraser adds AI + collaboration + better UX at meaningful cost. Where Eraser wins clearly: AI generation of technical documentation is genuinely useful — engineers can describe what they want and get a starting draft + diagrams; diagrams-as-code is faster + more maintainable than drag-and-drop tools (Lucidchart, draw.io); the technical focus means features actually fit engineering workflows (vs general-purpose Notion); cloud provider icons + sequence diagrams + ER diagrams render professionally; real-time collaboration matches modern engineering team workflows; pricing is reasonable. Where it loses: smaller ecosystem than Notion/Confluence (less integrations, fewer plugins); for non-technical documentation (general wiki, marketing docs, customer-facing help), Notion or Confluence still better; some complex diagrams require learning the diagram syntax; for teams already deeply on Notion/Confluence, migration is meaningful work; the AI generation quality varies and sometimes needs significant editing. My take: for engineering teams in 2026 wanting to actually maintain technical documentation — Eraser is genuinely one of the most useful tools released in the past few years. The AI generation + diagrams-as-code combination addresses the real reasons engineering documentation gets skipped (too painful to write, diagrams take forever, things go stale quickly). The Pro tier ($10/user/month) is reasonable for active engineering teams. For startups + technical founders writing engineering blogs + system documentation publicly, Eraser is the right call. For pure non-technical wikis, Notion remains the default. Many teams use both — Notion for general docs + Eraser for technical documentation. The trajectory suggests Eraser becomes increasingly important as engineering teams adopt AI-augmented documentation workflows.