Technology approach

Modern stacks for real product delivery.

Puzji combines MERN and Next.js web engineering, Python backends, AI agents, databases, cloud infrastructure, testing, and observability into systems that teams can understand and improve.

Explore the stack Discuss architecture

Full stackProduct · AI · Cloud

MERNPythonAI agentsDatabasesCloud

Core capabilities

A complete technology stack

Each category covers a product layer. The final combination is selected for the business requirement, not copied from a fixed template.

Frontend & Full Stack

Responsive product interfaces, SaaS dashboards, portals, and full-stack web platforms.

MERN StackMongoDB, Express, React, and Node.js

Core

Next.js App RouterServer and Client Components

Core

ReactComponent-driven interfaces

Core

TypeScriptTyped frontend and backend code

Core

ViteFast application tooling

Modern

Tailwind / CSS ModulesMaintainable design systems

Core

Backend, APIs & Python

Secure APIs, workflow services, automation, data processing, and scalable application backends.

Node.jsTypeScript services and APIs

Core

Express.jsClean and focused HTTP services

Core

PythonAI, automation, and data systems

Core

FastAPITyped high-performance Python APIs

Modern

DjangoBusiness applications and admin workflows

Specialized

REST / GraphQLProduct and integration APIs

Core

AI, Agents & Intelligent Search

AI copilots, agent workflows, document intelligence, semantic search, prediction, and automation.

AI Model APIsText, image, speech, and multimodal features

Core

Agent WorkflowsTools, tracing, approvals, and orchestration

Modern

RAGGrounded answers from business knowledge

Modern

Vector SearchSemantic and hybrid information retrieval

Modern

Model Context ProtocolStandardized tool and data connections

Modern

Evaluation & GuardrailsQuality, safety, and human review

Core

Databases, Cache & Search

Operational data, analytics, real-time caching, reporting, and intelligent search foundations.

PostgreSQLRelational products and reporting

Core

MongoDBFlexible document data and MERN products

Core

MySQLReliable transactional applications

Core

RedisCaching, sessions, queues, and real-time state

Core

SupabasePostgres, authentication, and realtime services

Modern

Elasticsearch / Vector DBSearch, retrieval, and recommendations

Specialized

Cloud, DevOps & Platform

Secure environments, automated delivery, scalable hosting, observability, and production operations.

AWSCloud applications and managed services

Core

AzureEnterprise cloud and Microsoft integrations

Core

Google CloudData, AI, and cloud-native workloads

Specialized

DockerRepeatable application environments

Core

KubernetesContainer orchestration at scale

Specialized

GitHub ActionsCI/CD, testing, and release automation

Core

Mobile, Quality & Observability

Cross-platform applications supported by automated testing, monitoring, performance, and security practices.

React NativeCross-platform mobile products

Specialized

CapacitorWeb applications delivered on mobile

Modern

PlaywrightEnd-to-end browser testing

Core

Jest / VitestUnit and integration testing

Core

Sentry / OpenTelemetryErrors, traces, and performance signals

Modern

Security & AccessibilitySafer and more inclusive products

Core

Architecture layers

Connected from interface to operations

Good delivery connects the customer experience, application logic, intelligence, data, and cloud platform instead of treating them as isolated decisions.

Experience

React, Next.js, TypeScript, responsive design, and accessible product interfaces.

Application

Node.js, Express, Python, FastAPI, Django, APIs, background jobs, and integrations.

Intelligence

AI model APIs, agent workflows, RAG, vector search, evaluations, and human review.

Data

PostgreSQL, MongoDB, MySQL, Redis, search, analytics, and reliable data pipelines.

Platform

AWS, Azure, GCP, Docker, CI/CD, observability, security, and production operations.

Selection principles

Technology should reduce product risk.

We evaluate users, business process, data sensitivity, integration needs, expected traffic, delivery speed, operating cost, team capability, and long-term support before recommending architecture.

Explore engineering services

Fit before fashion

The stack follows the product, team, data, scale, and operating constraints.

Clean ownership

Typed code, clear boundaries, tests, and documentation make systems easier to evolve.

AI with control

Agentic and generative features include evaluation, traceability, approvals, and fallbacks.

Production from day one

Security, performance, monitoring, deployment, and recovery are part of the build.

Plan the right stack

Need architecture for a new product or modernization?

Share your users, workflow, data, integrations, and constraints. We will help identify a practical technical direction.

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