KAMC Lab
hello@kamc.io

Concepts • Prototypes • Testbeds

Host spikes, PoCs and micro-apps here.

Cypress • Mocha Cypress • Cucumber AWS Learning AI Learning API Mocks Accessibility (aXe) Vulnerability Checks

Quick nav: Projects · Deploy notes · ← Back to Main

Deploy notes

To deploy a SPA build, upload your compiled assets to the bucket root and ensure an index.html exists. Then create a CloudFront invalidation for /*.

Cypress / Mocha Starter

Opinionated E2E + component test setup with sensible folder structure, fixtures, and parallel CI hints.

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Cypress / Cucumber (BDD)

Gherkin feature files + step definitions, tags for fast suites, and reporting examples.

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API Mocks & Contract Tests

Mock server + JSON schemas to validate requests/responses and seed reliable test data.

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Accessibility with aXe

Automated a11y checks in CI, baseline rulesets, and examples of focused manual audits.

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Vulnerability Checks Sandbox

Lightweight web vuln scans + OWASP cheatsheets; pointers to deeper SAST/DAST flows.

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AWS & AI Learning

Notes, small labs, and experiments across AWS services and practical AI-assisted testing.

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About the Lab

The Lab is a safe space to explore ideas quickly. Code, concepts, and testbeds live here before they graduate to production.

If a prototype breaks, you can always head back to the main site: kamc.io.

Approach

The Lab is where we explore new ideas quickly and safely. For teams with no existing playground, we create a lightweight environment that mirrors your culture — fast builds, clear dashboards, and guardrails to learn without risk.

Greenfield prototypes

  • Spin-up Cypress Vanilla JS Frameworks apps in hours, not weeks.
  • Experiment with AI-assisted automation and rapid API mocking.
  • Stand up CI/CD pipelines tailored to culture & cadence.

Plug-in to live teams

  • Drop in new dashboards, telemetry probes, or security scans without disrupting flow.
  • Trial alternative workflows — Jira automation, branching policies, release gates.
  • Feed proven outcomes back into the mainline delivery model.

Mindset

Fail fast, learn fast. Everything here is temporary by design — if it works, it graduates to kamc.io; if not, we learn and move on.

30 • 60 • 90 (Lab)

0–30 • Spin-Up & Mine

Create a safe sandbox, mine requirements on the latest build, seed CI with smoke tests.

  • Cypress (Mocha/Cucumber) starters; API mocks with seeded data; a11y (aXe) + basic vulnerability checks baked into CI smoke.
  • Backlog hygiene & DoR/DoD; story→test traceability map to expose coverage gaps.
31–60 • Prove
  • Prototype AI-assisted tests & alternative workflows (Jira automation, PR gates).
  • Add basic NFR checks; demo journeys with visual diffs.
61–90 • Graduate
  • Promote what worked to main delivery; archive the rest with learnings.
  • Templates/pipelines merged to prod repos; publish “what we keep & why”.