Which technology stack does Wavesteam use, and will it remain maintainable?

Wavesteam publicly lists Node.js, Java/Spring Boot, and Python on the backend; MySQL, PostgreSQL, and Redis for data; React and Vue for web; and UniApp, Flutter, and HarmonyOS for mobile. Our AI work includes RAG, agents, and document intelligence. This is a capability range, not a fixed bundle or proof that every person masters every item. Maintainability comes from supported versions, locked dependencies, tests, documentation, client-controlled accounts, and an independent takeover exercise.

Route	Good reason	Takeover benefit	Main risk	Adoption gate
Mainstream supported general stack	Conventional web, transactions, APIs, data	Broader hiring and documentation	Dependency and upgrade debt still accumulates	Supported release and proven team delivery
Managed cloud/vendor service	Standard identity, messaging, database	Less in-house operation	Cost, region, API, and exit dependency	Cost ceiling, backup, and exit design
Specialist technology	Device, graphics, real-time, or platform requirement	Unique capability or measured performance	Concentrated expertise and uncertain toolchain	Benchmark, second maintainer, and fallback

When comparing platform capabilities, constraints, and switching costs, also compare How much does custom software cost to operate, and is it much more expensive than SaaS?; the linked guidance adds context that should be considered in the same decision.

A specialist technology is not inherently wrong. Firmware, native HarmonyOS functionality, or a performance-critical module may require it. The bad decision is one without measured need, a second maintainer, or a migration path. A popular framework combined with private plugins, no tests, and supplier-only deployment access can be equally proprietary.

The project architecture record should state exact language, framework, runtime, database, deployment, support horizon, rationale, alternative, licenses, maintainers, and fallback. Node.js advises production use of Active or Maintenance LTS releases in its release status; Python publishes bugfix, security, and end-of-life phases in its version status. A familiar language on an unsupported release remains a risk.

Prove takeover on a clean machine or CI runner. An engineer outside the development team checks out the repository, installs the specified runtime and locked dependencies, restores redacted data, supplies test configuration, runs tests, builds, deploys, and rolls back using only the handover. Record time and requests for help. Any step dependent on the original author's oral explanation remains incomplete.

The repository includes locks and version files, environment examples without secrets, schema migrations, commands, architecture decisions, interface and test documentation, and incident runbooks. Artifacts trace to commits and builds. The client has owner or administrator access to repository, cloud, domain, certificates, stores, APIs, and monitoring. Dependencies identify license, installed version, compatible current version, and lifecycle.

Wavesteam answers whether the technology directly solves a performance, platform, or compliance constraint; whether a simpler alternative exists; whether the proposed team has production evidence and backup coverage; how dependencies are supported; and how to move data and builds if a service ends. The client confirms continuity and budget trade-offs rather than running technical selection. Our About page is first-party capability disclosure; project code, named staff, architecture records, and the takeover test prove the actual choice.