Alternatives
Products that do what Strategica Blueprint Studio does
Produce governed enterprise architecture faster
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- 4CM
2019 · cloudmaker.ai
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Build deterministic agents that actually follow your process
19d ago · getcontroller.ai
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Curated resources on how AI is reshaping Design Systems
Jan 2026
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2020 · app.ilograph.com
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I wrote a free book (CC BY license) on software architecture. It classifies architectural patterns / system designs into groups according to their structure, so that each group features a specific set of goals and properties, as structure and function correlate. That results in a kind of inheritance for patterns, making it easy to learn them and even iterate over all the known architectures to analyze their properties. Any feedback and ideas on how to promote the book is warmly welcome!
2024 · github.com
- 22GT
Hi folks, I built this guide after watching AI agent prototypes repeatedly fail in production. It demonstrates transforming a monolithic marketplace assistant into a resilient multi-agent system using orra, an open-source platform I also built for production-ready multi-agent applications. The patterns shown are valuable *even if you're building your own orchestration layer*. Each stage builds on the previous one, showing the evolution from fragile prototype to resilient system. What makes this guide valuable: * Architectural transformation with working code examples - split monolithic…
2025 · github.com
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Hi everyone! I built Composer, which is a tool turns your ideas into architecture diagrams. You can also use MCP to turn your EXISTING codebase into a visual diagram! It connects to all possible tools using MCP (Claude Code, Codex, OpenCode, etc.) The goal was to make system design easier and to be able to draw out what I wanted to make before I started / to explain to others. Its currently live at usecomposer.com and free! I’d love feedback on whether it feels useful for real projects and where it breaks down. :) Thank you
Apr 2026 · usecomposer.com
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Hi HN — I’m Abhi. We built Agint so PMs and engineers can design and edit software as a graph — architecture first — iterate with fast visual feedback, then generate deployable code from it when it’s ready. We presented underlying approach at NeurIPS (Deep Learning for Codegen) as an Agentic Graph Compiler: The graph (structure + types + semantic annotations) is the source of truth, and code is a compilation/export target. Paper: Agentic Graph Compilation for Software Engineering Agents: https://arxiv.org/abs/2511.19635 Live Demo: https://flow.agintai.com…
Jan 2026 · flow.agintai.com
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