Philosophy of the TeqFW Platform

The philosophy of Tequila Framework (TeqFW) is my personal approach to organizing web application development. I, Alex Gusev, have shaped this approach based on my own experience, which focuses on modular monoliths with a single database. This document reflects this specific context and does not claim to be universal.

Some of the presented ideas may be useful in a broader sense, but several principles will be irrelevant or even harmful outside the scope of monolithic architectures. It is important to keep this limitation in mind when interpreting the material.

The document is intended to form a cognitive context for both natural and artificial intelligences. It addresses both specific aspects of web development and more general software architecture issues, emphasizing the reduction of excessive complexity, improved structuring, and adaptability to changes.

Tequila Framework (TeqFW) is not a finished product but rather an experimental platform built on the principles outlined here. It demonstrates their practical viability, is already being used in development, and continues to evolve, expanding its scope of application.

Core Principles of TeqFW

1. Unified Development Language: JavaScript (ES6+) is used on both the client and server sides, ensuring code integrity, reducing duplication, and lowering cognitive load.

2. Late Binding: Dynamic dependency management through an object container and ES6 module namespaces. This reduces tight coupling between modules, simplifies system expansion, and makes the code more adaptable.

3. Evolutionary Code Resilience: Code is designed with inevitable changes in mind to minimize adaptation costs and facilitate expansion without modifying existing components.

4. Functional Code Separation: Isolation of data structures (DTO) and logic handlers. This approach makes code easier to test, maintain, and reuse.

5. Namespaces: Each type of entity—npm packages, ES6 modules, database tables, CLI commands, or configurations—has its own namespace. This ensures clear project structure, reduces conflicts, and simplifies code navigation.

6. Pure JavaScript (No Compilation): Using modern JavaScript (ES6+) without TypeScript or version downgrading. The code remains transparent and accessible, simplifying maintenance, library integration, and speeding up development.

7. Code Adaptation for LLM: Code and documentation are organized to be easily analyzed and supplemented by language models. Clear structure, standardized templates, and predictable conventions simplify automation and code generation.

Principles in Detail

Unified Development Language

Using modern JavaScript (ES6+) at all application levels eliminates the need to switch between different languages and simplifies knowledge sharing among developers. This is especially important in small teams and projects with limited resources, where minimizing cognitive load accelerates work.

Browsers support only JavaScript (among high-level languages), and thanks to Node.js, it has become widespread in server development. This enables writing isomorphic code that can be reused on both client and server sides, reducing logic duplication.

A unified language simplifies code maintenance and accelerates the onboarding of new developers into the project.

Late Binding

Late binding ensures architectural flexibility by allowing dynamic dependency management without tight coupling between modules. Instead of direct imports, ES6 module namespaces and an object container are used to handle instantiation and component replacement at runtime.

This approach reduces the risk of application “breakage” due to changes, simplifies system expansion, and makes the code more adaptable. Components can be replaced without deep refactoring, and the dependency mechanism remains transparent and predictable.

Late binding also improves testability: modules can be replaced with stubs or alternative implementations, making it easier to isolate tests. In team development, this simplifies understanding of complex dependencies and makes system maintenance more manageable.

Evolutionary Code Resilience

Code is designed to adapt to inevitable changes in requirements, APIs, and data with minimal overhead. This is achieved through approaches that allow expanding functionality without significant modifications to existing code.

Key techniques:

• Flexible input data processing. Using function argument destructuring and the “ignore unknown attributes” principle in data structures allows adding new parameters and properties without modifying existing handlers.
• Clear interaction contracts. Separating interfaces from implementations reduces the impact of changes while maintaining system predictability.
• Late binding. Components depend on abstractions rather than specific implementations, enabling code adaptation without directly modifying dependencies (see Late Binding principle).

These methods make the code less fragile and allow the system to evolve while reducing complexity and refactoring volume.

Functional Code Separation

Code is divided into data structures (DTO) and logic handlers, eliminating state within handlers and making them independent of data. DTOs contain all necessary information and are passed between handlers that perform operations on them.

This approach offers several key advantages:

• Handlers can be singletons. Since they do not store state, they are execution-context-independent and can be shared across the entire application.
• The program consists of data processing nodes. The code is structured as a set of functions that receive data, process it, and pass it on.
• Changeability through pure logic. Logic remains separate from data structures, allowing modifications without affecting handlers and vice versa.
• Minimized side effects. Handlers do not depend on global state, making the system more predictable.

Namespaces

Namespaces ensure a clear project structure and prevent conflicts by allowing each entity to reserve its name and build its own hierarchy. This principle applies at all levels:

• Packages and modules. npm packages and ES6 modules are organized into predictable namespaces, avoiding dependency conflicts.
• Files and classes. File and class names reflect their purpose and relationships with other components, simplifying project navigation and structure.
• Database tables. Table names are structured to avoid collisions and logically group data.
• Endpoints and APIs. Namespaces are used in routing and APIs, ensuring consistent addressing.
• Configurations and CLI commands. Settings and commands are organized hierarchically to prevent duplication.

Code is designed to operate in an environment with other code. Each unit within its namespace reserves a name and builds a downward hierarchy, creating a predictable interaction structure.

Pure JavaScript (No Compilation)

Tequila Framework uses modern JavaScript (ES6+) without version downgrading or strict TypeScript typing. The code remains in its original form, making it transparent, accessible, and easy to maintain.

Key characteristics:

• No compilation. Developers work with pure JavaScript without intermediate transformations, speeding up debugging and simplifying maintenance.
• JSDoc instead of TypeScript. JSDoc annotations allow IDEs to understand data structures and provide autocompletion, maintaining flexibility without strict typing.
• Maximum compatibility. The code easily integrates with any libraries and tools, as it does not require adaptation to strict type contracts.
• Fast development. Changes are immediately reflected in the code without requiring a rebuild, increasing development speed.

Code and Documentation Adaptation for LLM

Architecture, code, and documentation are designed for easy analysis and use by language models (LLM). This improves the efficiency of automatic code completion, generation of template solutions, and integration with AI tools.

For this, the following practices are applied:

• Predictable project structure. Clear file organization, logical naming, and standardized conventions.
• Unified code templates. Repetitive structures and a predictable format help models understand and supplement the code.
• Optimized abstraction depth. Code is organized to maintain modularity while avoiding excessive nesting.
• Automated annotations. JSDoc and standardized comments ensure precise code generation and documentation.

This approach allows LLM agents to:

• Quickly analyze code and suggest corrections.
• Automatically supplement documentation and comment code.
• Generate new modules according to the project’s architectural standards.
• Simplify CI/CD integration by checking code compliance with style and conventions.

LLMs become part of the development process, helping not only with writing code but also keeping it up to date, reducing developers’ routine workload.

Conclusion

The principles outlined in this document form an approach to modular monolith development, focused on predictability, structure, and adaptability. They enable building architectures where code remains flexible, transparent, and easily extensible.

These ideas do not require complex theoretical justifications or significant time investments for validation. They aim to simplify integration, reduce excessive complexity, and increase code automation potential. Standardized structures, predictable namespaces, and development without transpilation create an environment where the code is understandable both for developers and language models (LLM).

The Tequila Framework (TeqFW) platform serves as a demonstration of these principles in action. It is already used in development and continues to evolve, expanding its scope of application. This approach may be useful not only as a foundation for proprietary tools but also as a way to rethink traditional methods of organizing code.