Feedback arrives late.
Serious critique often appears during an interview, rewrite, production incident, or rushed design review.
Field note 01 / system design infrastructure
Software has IDEs for code. Architecture still lives on whiteboards.
System design is one of the highest-leverage skills in engineering, but the way people learn and review it is still scattered across diagrams, docs, interviews, chat threads, and production mistakes.
Archos is building a living workspace for architecture thinking: a place to design systems, test assumptions, get critique, and preserve the reasoning behind decisions.
The gap
We ask engineers to make expensive system decisions before giving them a real place to practice.
The industry treats architecture judgment like something people absorb by watching seniors, surviving incidents, or memorizing interview prompts. That is a strange way to train a skill that shapes reliability, cost, velocity, onboarding, and technical leadership.
Reasoning gets lost.
A static diagram rarely explains constraints, bottlenecks, failure modes, or why the design changed.
Teams forget decisions.
Architecture context is spread across docs, calls, screenshots, Slack threads, and stale comments.
The broken workflow
Today, system design is a pile of disconnected surfaces.
Learning, planning, reviewing, onboarding, and mentoring all touch the same architecture skill, but the work is split across tools that cannot hold the full loop.
YouTube notes
Whiteboard sketch
Interview prep
Slack thread
Incident review
Stale diagram
Architecture doc
The Archos loop
Start with a scenario. Design the system. Stress-test assumptions. Revise with feedback.
Archos is not trying to be another place to draw boxes. It is a structured environment where the diagram, requirements, critique, tradeoffs, and versions stay connected.
01ScenarioRequirements, scale, constraints
02DesignComponents, flows, boundaries
03CritiqueBottlenecks, failure modes, tradeoffs
04ReviseVersions, comments, decision history
Product direction
A notebook for architecture thinking, with a system design workspace inside it.
The product starts with practice and feedback, then expands into the workflow around architecture decisions: shared drafts, comments, review history, scenarios, and a durable model of how the system evolved.
Client2.4k rps
API Gatewayrate limit
Queuebackpressure
Workersautoscale
Data Storesharded
Why now
AI makes architecture feedback possible at the speed of thought.
For the first time, software teams can have a system that understands requirements, diagrams, constraints, tradeoffs, and failure modes together. That changes system design from passive content into active practice.
Requirements, diagrams, assumptions, and critique can be reasoned over as one object.
Builders need realistic practice environments, not just notes, videos, and mock interviews.
Decisions should preserve what changed, who reviewed it, and why the final version won.
Vision
The future of system design is not another diagramming tool. It is a workspace where engineers build judgment by designing, testing, explaining, reviewing, and improving systems over time.
For learners
Practice with scenarios, critique, model answers, and revision history.
For mentors
Review how someone thinks, not only the final diagram they drew.
For teams
Turn architecture discussion into a shared model with durable decisions.
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