Team standards
An AI coding standards tool for teams using agents
Schemyx helps teams preserve engineering standards across AI-generated work. Store the rule once, serve it through MCP, and give every agent the same conventions before it writes.
The problem
AI can move fast enough to erode standards before anyone notices.
One generated screen uses the wrong button style. Another bypasses an API convention. A third creates a new pattern where the product already had one. Small differences become cleanup debt.
Schemyx approach
Schemyx turns standards into retrievable rules.
Component contracts, theme tokens, API expectations, naming conventions, product guardrails, and review decisions become keyed context agents can fetch on each request.
Why teams use it
Less drift, faster onboarding, and the same context across agents.
Outcome
Shared rules across the team
Every teammate and agent can work from the same component, style, API, and product rules instead of private prompt memory.
Outcome
Governance without blocking early velocity
Start with local bundles and review items. Grow into shared workspaces, approval flows, and team-owned context as usage matures.
Outcome
Automatic standard updates
When a rule changes, update the config and serve the new standard on the next agent request instead of rewriting every prompt.
Lookup examples
The useful detail lives behind stable keys.
Schemyx is built for exact reads. Agents can ask for a concept, resolve a key, then fetch a tiny context response before they write.
component.PrimaryButton
Component standard
Use the existing button contract, variants, and states before creating another one.
style.theme.tokens
Theme standard
Use approved color, spacing, type, radius, surface, and border tokens.
api.auth.guardrails
API standard
Keep auth, payload validation, and error behavior explicit.
rule.product.messaging
Product standard
Preserve naming, tone, domain rules, and customer-facing guardrails.
Workflow
From codebase scan to agent-safe generation.
Schemyx keeps the heavy context work out of the prompt and turns repeated decisions into reusable lookup responses.
01
Capture the standard
Define or extract the component, API, style, or product rule.
02
Give it a stable key
Make the rule addressable so agents can retrieve it directly.
03
Serve it in the workflow
MCP delivers the standard to AI coding tools before generation.
04
Review collisions
If several standards exist, surface the choice instead of letting agents pick randomly.
Who it is for
Built for teams and builders who want AI work to stay coherent.
Audience
Engineering leads
Keep standards alive as more AI-generated code enters the repo.
Audience
Product teams
Protect product decisions, terminology, and user experience patterns.
Audience
Agencies
Reuse standards across client builds without starting from blank prompts.
FAQ
Questions teams ask before trusting agent context.
Can Schemyx enforce standards automatically?
Schemyx gives agents the standards and exposes review items. Enforcement can be paired with tests, code review, and future approval workflows.
What standards should teams start with?
Start with high-drift areas: buttons, forms, cards, page layout, API payloads, auth rules, data models, and product naming.
Does this help with onboarding?
Yes. Standards become visible and reusable, so new teammates can see how the product is expected to be built.
Can standards change over time?
Yes. Updating the rule updates the context agents fetch on future requests.
Next step
Give every agent the same source of truth.
Request beta access or book a call to map Schemyx against your current stack, team standards, and agent workflow.