I’m the maker of ArchtSoft. We’ve been working on a problem we kept running into while building and reviewing systems:
Architectural decisions change over time, but the history, rationale, and context behind those changes usually get lost.
We built ArchtSoft to treat architecture as a first-class, versioned artifact, not just diagrams.
What it does:
1. Architecture version control
Every change to an architecture is versioned. You can visually diff versions and see what changed, when, and why. The goal is Git-like clarity, but for system architecture rather than code.
2. Component-level architecture decision records (ADR)
Instead of keeping ADRs in separate docs, each component stores its own decision context: trade-offs, constraints, assumptions, and rationale. This makes architectures explainable and reviewable over time.
3. Context-aware AI for manual architecture design
This isn’t “AI generates diagrams.” Architects still design manually. The AI continuously reads the architecture context (industry, domain, functional, and non-functional requirements) and suggests things like component purpose, security considerations, and compliance implications while you design.
4. Architecture-to-code scaffolding
From an architecture, we generate project scaffolding (folders + boilerplate) that can be downloaded as a ZIP and used as a starting point.
Why we built it:
We saw architecture break down not because of bad tech choices, but because:
Decisions weren’t documented where they were made
The context was lost when teams changed
Architecture drifted without a clear history
We’re trying to reduce that gap.
Link: https://archtsoft.com
I’d appreciate feedback from people who’ve dealt with architecture reviews, long-lived systems, or platform evolution. Happy to answer questions.
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We built Git-like versioning and context-aware AI for software architecture · HackerTrans
I’m the maker of ArchtSoft. We’ve been working on a problem we kept running into while building and reviewing systems: Architectural decisions change over time, but the history, rationale, and context behind those changes usually get lost.
We built ArchtSoft to treat architecture as a first-class, versioned artifact, not just diagrams.
What it does:
1. Architecture version control Every change to an architecture is versioned. You can visually diff versions and see what changed, when, and why. The goal is Git-like clarity, but for system architecture rather than code.
2. Component-level architecture decision records (ADR) Instead of keeping ADRs in separate docs, each component stores its own decision context: trade-offs, constraints, assumptions, and rationale. This makes architectures explainable and reviewable over time.
3. Context-aware AI for manual architecture design This isn’t “AI generates diagrams.” Architects still design manually. The AI continuously reads the architecture context (industry, domain, functional, and non-functional requirements) and suggests things like component purpose, security considerations, and compliance implications while you design.
4. Architecture-to-code scaffolding From an architecture, we generate project scaffolding (folders + boilerplate) that can be downloaded as a ZIP and used as a starting point.
Why we built it: We saw architecture break down not because of bad tech choices, but because:
Decisions weren’t documented where they were made
The context was lost when teams changed
Architecture drifted without a clear history
We’re trying to reduce that gap.
Link: https://archtsoft.com
I’d appreciate feedback from people who’ve dealt with architecture reviews, long-lived systems, or platform evolution. Happy to answer questions.