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The Indie Founder Architecture Decision Intelligence Playbook

Make confident system design decisions without a senior engineer on call

Solo technical founders often make architecture decisions in a vacuum — picking the wrong data store, coupling services that should be separate, or missing security gaps that only appear at scale. This playbook gives you an AI-powered architecture review loop: diagram your system, get adversarial feedback, and generate documentation your future self or contractors can follow. Built for indie founders who are strong coders but don't have a staff engineer to sanity-check big calls.

Goal

Make defensible, documented architecture decisions without a senior engineering partner

Who this is for

Solo technical founders building SaaS or API products without a senior engineer

When to use

Before committing to a new data model, service boundary, or infrastructure choice

When NOT to use

For day-to-day feature implementation — this is for structural, hard-to-reverse decisions only

$20–$60/mo~60 min setup

How to set it up

1

Diagram your proposed architecture

Open Composer and describe your system in plain English or paste your codebase. Generate a diagram of your proposed service boundaries, data stores, and integrations. Export it as your working document.

2

Run a decision coaching session

Take your top two or three architecture options into Bramble. Work through trade-offs on scalability, cost, and reversibility with structured AI coaching until you reach a confident decision.

3

Security-review the chosen design

Install Trent inside Claude Code and run a contextual security review against your chosen architecture diagram. Document every flagged threat and the mitigation you'll apply.

4

Generate living documentation

Connect Specsight to your codebase and generate the initial living spec from your architecture. Configure it to auto-update as you build so documentation never drifts from reality.

5

Log all AI-assisted decisions

Enable Selvedge as an MCP server in your coding environment. Every time an AI agent makes a structural change, Selvedge logs the reasoning locally so your decision trail is always intact.

1

Turn ideas and codebases into architecture diagrams

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Turns your idea or existing codebase into clear architecture diagrams so you're reasoning about a concrete system, not an abstraction in your head.

Freemium
2

Trent – Contextual architectural security reviews inside Claude Code

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Runs contextual security analysis on your architecture inside Claude Code, surfacing threats and weak points before you write a line of implementation code.

Freemium
3

Auto-generate living product specs from your codebase for PMs and stakeholders

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Auto-generates and keeps product specs up to date from your codebase so your architecture decisions are always reflected in documentation contractors can act on.

Freemium
4

Get coaching for hard conversations and decisions

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Helps you think through the trade-offs of competing architectural choices with structured AI coaching before you commit.

Freemium
5

Log the reasoning behind every AI-generated code change locally

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Captures the reasoning behind every AI-assisted code change so your future self and contractors understand why the system is built the way it is.

Free

Expected outcome

A reviewed architecture diagram, a security-annotated spec, and living documentation ready to hand to any contractor or AI coding agent

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This playbook is a curated starting point, not a definitive recommendation. Pricing and features change — always verify on each tool's official website. Tools marked "affiliate link" may earn this site a commission at no extra cost to you.