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Software project knowledge · From selection to operations

Before building software, clarify the decisions that matter

Questions we encounter repeatedly: how to define requirements, allocate budgets, accept a system and assign maintenance after launch.

Architecture Data & permissions Deployment & operations Project reviews
Find answers by topic

Start with the decision you are making.

Content follows the project lifecycle, supporting initial selection, development, acceptance and ongoing maintenance.

01

Product formats & selection

What websites, mini programs, apps and business systems each solve.

02

Budget & scope

What affects a quote and what belongs in the first release.

03

Requirements & MVP

Defining roles, workflows, data, permissions and exceptions.

04

Architecture & data

Structuring frontends, backends, databases, permissions, audits and APIs.

05

Deployment & maintenance

Preparing for launch, monitoring, backup, rollback and ongoing operation.

06

Embedded systems & smart hardware

Firmware, communication, OTA, production testing and long-term maintenance.

07

IoT & device data

Connecting devices, messages, time-series data, alerts and maintenance workflows.

08

AI & workflow automation

Determining whether AI belongs in a real business workflow.

From technical decisions to delivery

Once the problem is clear, explore relevant services, solutions and business scenarios.

Articles explain the reasoning, solution pages define system boundaries, and cases and reference scenarios show how a workflow becomes a delivered product.

Project delivery services

From requirements and prototypes to development and deployment

Review project stages, collaboration options, deliverables and acceptance boundaries.

Solution directory

Business systems, smart hardware, IoT & AI

Choose interfaces, platforms, devices and automation around your business problem.

Real project cases

See how systems address real operational problems

Explore WMS, device maintenance, booking fulfillment and knowledge assistants.

Technical notes

We document the pitfalls, trade-offs and solutions from our projects.

Architecture · Business systems

Business system architecture: how should frontends, backends, databases and permissions be structured?

A stable business system typically separates presentation, business APIs, domain services, databases, permission auditing and deployment monitoring.

Read article AI architecture · RAG

AI knowledge base / RAG architecture: from document chunking to retrieval-augmented generation

A RAG knowledge base involves document parsing, chunking, embeddings, retrieval, reranking, prompt assembly and citations—not simply uploading documents to a model.

Read article Architecture · Mini programs

How to design a mini program, admin console and API architecture

An operational mini program typically needs an admin console, shared APIs, a database, notifications, payments and permissions as well as its frontend.

Read article Architecture · IoT

IoT data platform architecture: collection, queues, time-series data and alerts

An IoT platform handles device connectivity, collection, queues, time-series storage, real-time alerts, device status and dashboards, beyond an admin interface.

Read article Embedded systems · Productization

From embedded prototype to product: firmware, OTA, testing and production checklist

After a development board works, address hardware baselines, fault recovery, reliable communication, OTA, production testing, version control and service diagnostics.

Read article Deployment · Docker

Docker + Nginx architecture: how can a small team launch a stable system?

Small teams can use Docker for application environments, Nginx for reverse proxying and HTTPS, and volumes, backups and health checks to reduce launch risks.

Read article Architecture · Permissions & auditing

Designing business permissions and logs: RBAC, data scope and audit trails

Permissions extend beyond visible menus to roles, data scope, field access, activity logs, approval records and exception tracing.

Read article AI · Product decisions

If AI can write code, why can it not deliver a complete working system on its own?

Requirements, workflows, user experience and engineering reliability explain why tools such as Doubao, ChatGPT and Qwen can help with much of the work, while the final stretch still needs professional engineering.

Read article Budget · Business systems

How much does a custom business system cost? Five factors to consider

Costs depend on workflow complexity, roles and permissions, data structures, third-party integrations and delivery depth. This article offers a budgeting framework.

Read article Digitalization · Decision criteria

When does a small company need its own business system?

When spreadsheets, chat groups and manual follow-up affect delivery, data and management, consider building around one critical workflow.

Read article Inventory · Beyond Excel

When should Excel inventory tracking become a dedicated system?

If batches, stock movements, counts, collaboration and traceability strain Excel, consider an inventory system or WMS.

Read article Selection · Product formats

Mini program, app, standalone website or business system: which should you choose?

Different formats address different needs: websites attract leads, mini programs support lightweight services, apps support frequent use, and business systems coordinate internal workflows.

Read article AI automation · Scenarios

Which business workflows suit AI automation?

AI automation best suits frequent tasks with relatively stable rules and clear inputs, such as support questions, knowledge retrieval, form processing and content drafting.

Read article Requirements · Boundaries

What scope decisions are essential before building an enterprise admin system?

Define roles, workflows, data, permissions, exceptions and launch scope before development to avoid fragmented scope and rising costs.

Read article MVP · First release

How many features should an MVP include?

An MVP is the smallest complete workflow that tests a key business assumption. Design it around core users, processes and data.

Read article Collaboration · Preparation

What should you prepare before approaching a software team?

Business goals, current workflows, sample data, budget range and target dates improve communication and make quotes more representative of the actual scope.

Read article Process · From zero to one

What stages does building a business system involve?

A reliable process typically includes discovery, workflow mapping, minimum viable validation, scope confirmation, development, testing, deployment and continued iteration.

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KNOWLEDGE PATHS

Explore technical topics by business problem

01 / TOPIC

Business systems & workflow digitalization

When to move from Excel, chat groups and legacy systems to custom software

Explore topic → 02 / TOPIC

Mini programs, apps & service fulfillment

Choose a mobile format and connect users with the admin console

Explore topic → 03 / TOPIC

Business websites & search acquisition

Explain your company, services and cases, and turn interest into enquiries

Explore topic → 04 / TOPIC

Connected devices, embedded systems & IoT

Connect devices, field data, platforms and follow-up workflows

Explore topic → 05 / TOPIC

Enterprise knowledge bases & AI automation

Choose AI applications with measurable results and clear access boundaries

Explore topic → 06 / TOPIC

Software budgets, delivery & private deployment

Understand quotes, acceptance, source-code handover and maintenance

Explore topic →