The AI kit for Software Architects

Frames one design choice through requirements, alternatives and trade-offs, then writes the ADR. Example: choosing Postgres over DynamoDB for reporting-heavy billing data.

Turns a broad system ask into a design, diagram and rationale. Example: should our order service split out of the monolith.

Turns code or a description into flowcharts, sequence diagrams, ERDs and dependency graphs. Example: sequence diagram of your checkout API call chain.

Produces cloud-native Mermaid architecture documents covering context, components, deployment, data flow and non-functional requirements. Example: deployment view for a three-region AWS setup.

Like "Architecture Decision Record"

Like "Outline a System Design Spec"

Like "Compare Frameworks for Workload"

Like "Generate Mermaid Diagram From System Description"

A fair, documented screen of a blockchain proposal with a clear recommendation

Turn a long findings list into confirmed fixes and justified suppressions

Add tests to the riskiest untested code and prove that they catch real bugs

Choose a model with evidence on quality, cost and speed for the real task

Ask your AI to draw cloud architecture diagrams and it makes real draw.io files you can edit.

Lets your AI search the web and pull answers from official docs using Google's AI models.

Turn a plain description of your system into an editable, hand-drawn Excalidraw diagram file.

Connect your AI to Amazon Web Services so it can look up docs, check resources, and help with cloud tasks.

Architecto turns natural-language specs into reviewable cloud architectures-auto-diagrams, cost/security/compliance checks, docs, and governance in one platform

Eraser.io empowers engineering teams with a unified platform for technical documentation and diagramming, featuring a markdown-compatible editor and AI-driven d

Bhava is an AI-powered diagram editor that transforms text and sketches into accurate flowcharts, cloud architectures, UML, and more. Collaborate seamlessly wit

Archimyst turns a prompt into a testable backend architecture, simulating traffic spikes, outages, scaling limits and cloud costs so teams can validate reliabil

Build this when your team keeps re-litigating settled choices and the original reasoning has gone missing.

Build this to trace a codebase without manual digging, keeping every diagram linked to its source.

Build this to shorten spec-to-code cycles while keeping the plan and its evidence current.

Build this to cut diagram production and rework time inside one owned workspace.

Evaluates system designs, architectural patterns, and technology choices at the macro level.

Create and manage ADRs capturing rationale for significant technical decisions.

Reviews system architecture for security, scalability, and reliability using Well-Architected frameworks.

Designs scalable backend systems, APIs, and microservices architectures with clear boundaries and built-in resilience.