Which technologies does EZ Dev recommend for a new project in 2026?

For most web and SaaS products we start with TypeScript, Next.js and React on the front end, Node.js or Python on the server, PostgreSQL for data, and serverless AWS for hosting. Mobile apps get Flutter or React Native. The final choice follows your team, budget and timeline.

Do you use AI to write code?

Yes. Coding agents write much of the first draft. Every change still passes automated tests, type checks and a review by an experienced developer before it merges. AI gives us speed, and the process keeps quality and security where they need to be.

How do you keep cloud and AI costs under control?

We size the architecture to the real load, prefer serverless and static hosting where they fit, set budgets and alerts, and cache AI responses. A small product usually costs tens of dollars a month to run, not thousands. Reviewing the bill is a standing part of maintenance.

Can you take over a system built on older technology?

Yes. We maintain systems in AngularJS, WinForms, SOAP and more. First we stabilize the system and add tests, then we move the critical parts to a modern stack step by step, without a risky all-at-once rewrite.

How do you avoid lock-in to one AI provider?

Every model call goes through a thin layer of our own, prompts and quality checks live in the code, and we test more than one model. Moving to another provider becomes a configuration change, not a project.

The Right Technology

Choosing technology is the most consequential decision in a software project. In 2026 that means a lean, mainstream stack, AI that works inside clear rules, and security, testing and cost awareness built in from day one.

AI coding agents changed how software gets written. Code is cheap now. Judgment, testing, security and clarity are what's scarce. This page shows the tools we reach for today, the values we expect from every developer on a project, and how we keep AI speed from turning into technical debt.

What matters for developers in 2026

AI made writing code cheap. These are the skills and habits that still make the difference, and the ones we expect from everyone who works on your product.

Judgment over keystrokes
AI writes code in seconds. The value of a developer today is deciding what to build, spotting where the model got it wrong, and owning the result. We hire and work for judgment, not for typing speed.
Tests are the contract
Untested code is a guess, whoever wrote it. Automated tests, type checks and code review run on every change, human or AI. That is what lets us move fast without breaking production.
Secure by default
AI agents, open-source packages and cloud keys all widen the attack surface. We keep secrets out of code, give every service only the access it needs, check dependencies, and treat prompt injection as a real threat.
Every cloud dollar is a design decision
A careless architecture can burn thousands a month in cloud and AI fees. We design for the real load, prefer serverless and static hosting where they fit, and watch the bill the way we watch errors.
Context for humans and AI
Clear specs, decision records and project instructions help a new developer and an AI agent alike. In a well documented codebase an agent can make a change safely, and a new hire is productive in days.
Ownership in production
Launch is the start, not the finish. Monitoring, alerts and logs tell us about a problem before your customers notice it, and the team that wrote the code is the team that fixes it.

How we build with AI

Speed from AI, safety from the process. Every change, written by a person or an agent, goes through the same five steps.

Spec first
We write down what to build and how we will know it works, before the first line of code.
AI drafts, inside the rules
Coding agents write the first draft, following the project's standards and instructions.
Tests prove it
Automated tests and type checks run on every change.
A human reviews
An experienced developer reads every change before it merges.
Ship and watch
Automated deploys, monitoring and alerts close the loop.

Our stack in 2026

How we choose a stack

Lean. As few languages and services as the product needs.
Mainstream. Big communities, easy hiring, and AI tools that know the stack well.
Fit for the business. Budget, team and timeline decide, not trends.

Orange marks our first choice for new projects. Grey is also in our toolbox.

AI & Agents

Claude (Anthropic)
OpenAI
MCP
RAG
Claude Code

Gemini
AI agents
Vector search
LLM evals
Speech & vision AI

Web

TypeScript
Next.js
React
Tailwind CSS

Vite
Astro
Angular
WordPress

Backend & APIs

Node.js
Python
FastAPI
REST
OpenAPI

Go
Java
Kotlin
Spring Boot
.NET
Django
GraphQL
gRPC
Webhooks

Mobile

Flutter
React Native
Expo

Kotlin
Jetpack Compose
Swift
SwiftUI
Firebase

Mobile capabilities

BLE
NFC
GPS
Push notifications
Deep links
In-app purchases
Android internals
eSIM

Cloud & Infrastructure

AWS
Serverless
Infrastructure as Code
Docker

AWS CDK
CloudFormation
Terraform
Kubernetes
Cloudflare
GCP

Data

PostgreSQL
DynamoDB
Redis

SQLite
S3
Vector databases
MongoDB
MS SQL

Quality & Operations

Git
CI/CD
Automated tests
Code review

GitLab CI
GitHub Actions
Playwright
Vitest
ESLint
CloudWatch
Sentry
OpenTelemetry

Security & Privacy

OAuth 2.0 / OIDC
Passkeys
Secrets management
Least privilege

Dependency scanning
Encryption at rest
GDPR
Israeli Privacy Law (Amendment 13)

Embedded & Systems

C
C++
Rust

Python
Embedded Linux
SPI
I2C
UART
RS-232

Desktop

C#
.NET
WPF
Electron

Legacy we still maintain

We keep existing systems on these running and plan the move off them, but we don't start new projects on them.

AngularJS
WinForms
ASP.NET Web Forms
SOAP
ClojureScript

Choose poorly, and this is what happens

Code nobody on the team understands, because AI wrote it and nobody reviewed it.
A cloud and AI bill that grows faster than the business.
A niche stack. Hard to hire for, and AI tools barely know it.
Too many languages and services for the size of the team.
Leaked keys and vulnerable packages that open the door to attackers.
Lock-in to one AI vendor, so a price change or a better model turns into a rewrite.

The Right Technology

What matters for developers in 2026

Judgment over keystrokes

Tests are the contract

Secure by default

Every cloud dollar is a design decision

Context for humans and AI

Ownership in production

How we build with AI

Spec first

AI drafts, inside the rules

Tests prove it

A human reviews

Ship and watch