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In this week’s newsletter, we’ll discuss the most popular technologies being used in 2025 according to Stack Overflow, including:

  • Programming languages

  • Databases

  • Cloud development

  • Web frameworks and technologies

  • Dev IDEs

  • Community platforms

  • LLMs

  • Collaboration tools

Ready to upskill your development team in this year's top technologies? Tami's expert-led training helps your developers quickly master Python, cloud development, React, and more.

Executive Summary

Key findings from Stack Overflow's 2025 Developer Survey:

  • Survey methodology: 49,000+ professional developers surveyed globally

  • Geographic distribution: Global sample across 180+ countries

  • Key trend: Python adoption increased 7% year-over-year (largest single-year jump since 2013)

  • Emerging technology: AI-powered development tools reached mainstream adoption

  • Market signal: 81% of developers now use ChatGPT for coding assistance

The top ten programming languages being used with percentage of respondents and their primary use case:

Rank

Language

2025 Usage

Primary Use Cases

1

JavaScript

66.0%

Web development, full-stack

2

HTML/CSS

61.9%

Frontend, web markup

3

SQL

58.6%

Database queries, analytics

4

Python

57.9%

AI, data science, backend

5

Bash/Shell

48.7%

System administration, DevOps

6

TypeScript

43.6%

Enterprise web development

7

Java

29.4%

Enterprise, Android development

8

C#

27.8%

.NET development, gaming

9

C++

23.5%

System programming, gaming

10

PowerShell

23.2%

Windows administration

Key Insights: Programming Language Trends

Python's historic growth: The 7 percentage point increase represents Python's largest single-year adoption jump in over a decade. This surge correlates directly with:

  • AI/ML job postings increasing 156% year-over-year (LinkedIn, 2025)

  • Python machine learning libraries (TensorFlow, PyTorch) reaching 50M+ monthly downloads

  • Corporate AI initiatives requiring Python expertise

Why you should learn Python in 2025:

  • Average Python developer salary: $128,000 USD (15% above industry average)

  • Job market demand: 47% of AI/ML positions require Python skills

  • Learning curve: Beginner-friendly syntax with professional-grade capabilities

  • Career paths: Data scientist, AI engineer, backend developer, automation specialist

JavaScript maintains top spot: Despite Python's growth, JavaScript remains the most-used language due to its foundational role in modern web development alongside HTML and CSS. This enduring relevance is further supported by:

  • Universal web browser support

  • Full-stack development capabilities (Node.js)

  • Extensive ecosystem (2.1M+ npm packages)

Database Technologies: PostgreSQL's Continued Dominance

Rank

Database

Usage %

Primary Strengths

Best For

1

PostgreSQL

55.6%

ACID compliance, JSON support, extensibility

Complex applications, analytics

2

MySQL

40.5%

Performance, ease of use, widespread support

Web applications, content management

3

SQLite

37.5%

Lightweight, serverless, embedded

Mobile apps, small-scale applications

4

Microsoft SQL Server

30.1%

Enterprise features, Windows integration

Corporate applications, .NET stack

5

Redis

28.0%

In-memory performance, caching

Session storage, real-time applications

6

MongoDB

24.0%

Document-oriented, flexible schema

Content management, rapid prototyping

7

MariaDB

22.5%

MySQL compatibility, open source

MySQL migration, web development

8

Elasticsearch

16.7%

Full-text search, analytics

Search engines, log analysis

9

Oracle

10.6%

Enterprise-grade, performance

Large-scale enterprise systems

10

DynamoDB

9.8%

AWS integration, NoSQL scalability

Cloud-native applications

Database Learning Priorities 2025

PostgreSQL benefits:

  • Market demand: 73% increase in PostgreSQL job postings (Indeed, 2025)

  • Salary premium: PostgreSQL developers earn 12% more than MySQL developers

  • Enterprise adoption: Used by Apple, Instagram, Spotify, Netflix

SQL skills remain universal:

  • Required by 89% of data-related job postings

  • Foundation for business intelligence and analytics roles

  • Average learning time: 4-6 weeks for proficiency

Cloud Platforms & Tools: The Containerization Revolution

Rank

Tool/Platform

Usage %

Category

1

Docker

71.1%

Containerization

2

NPM

56.8%

Package Management

3

AWS

43.3%

Cloud Infrastructure

4

Pip

40.9%

Python Package Management

5

Kubernetes

28.5%

Container Orchestration

6

Microsoft Azure

26.3%

Cloud Infrastructure

7

Homebrew

25.7%

macOS Package Management

8

Vite

25.4%

Frontend Build Tool

9

Google Cloud

24.6%

Cloud Infrastructure

10

Make

23.2%

Build Automation

Docker: The Universal Developer Tool

Why Docker reached 71% adoption:

  • Development consistency: "Works on my machine" problem solved

  • Deployment simplification: Same container runs anywhere

  • Microservices enablement: Essential for modern architecture

  • CI/CD integration: Streamlines deployment pipelines

Docker suggested learning path for 2025:

  1. Docker Fundamentals (Week 1-2): Containers, images, basic commands

  2. Docker Compose (Week 3): Multi-container applications

  3. Docker in Production (Week 4): Security, optimization, orchestration

  4. Docker Certification (Week 5+): Professional validation

AWS training remains essential:

  • Market share: 31% of cloud infrastructure market

  • Job opportunities: 67% of cloud computing jobs mention AWS

  • Certification ROI: Average salary increase of $25,000 post-AWS certification

  • Learning time: 3-6 months for AWS Solutions Architect Associate

Web Development Frameworks: React Ecosystem Dominance

Rank

Framework

Usage %

Category

Learning Difficulty

1

Node.js

48.7%

Backend Runtime

Medium

2

React

44.7%

Frontend Framework

Medium

3

jQuery

23.4%

JavaScript Library

Easy

4

Next.js

20.8%

React Framework

Hard

5

Express

19.9%

Node.js Framework

Medium

6

ASP.NET Core

19.7%

Microsoft Framework

Hard

7

Angular

18.2%

Frontend Framework

Hard

8

Vue.js

17.6%

Frontend Framework

Medium

9

FastAPI

14.8%

Python Framework

Medium

10

Spring Boot

14.7%

Java Framework

Hard

React Training: Still the Top Choice

Why React leads frontend development:

  • Job market: 78% of frontend job postings mention React

  • Ecosystem maturity: Extensive third-party library support

  • Corporate adoption: Used by Facebook, Netflix, Airbnb, Uber

  • Learning resources: Most comprehensive tutorial ecosystem

React learning roadmap in 2025:

  1. JavaScript Fundamentals (Prerequisites): ES6+, async/await, modules

  2. React Basics (Month 1): Components, JSX, props, state

  3. React Ecosystem (Month 2): React Router, state management, hooks

  4. Advanced React (Month 3): Performance optimization, testing, deployment

  5. React Frameworks (Month 4+): Next.js, Gatsby for production applications

JavaScript full-stack advantage: JavaScript's versatility extends to its basic data types, which include numbers, strings, booleans, null, and undefined. This single language proficiency enables developers to work on both frontend and backend development, offering:

  • Single language proficiency: Frontend and backend development

  • Faster development cycles: Shared code and concepts

  • Career flexibility: Multiple specialization paths

Development Tools: AI-Powered IDEs Enter Mainstream

Rank

IDE/Editor

Usage %

Category

Notable Features

1

Visual Studio Code

75.9%

Free Editor

Extensions, Git integration

2

Visual Studio

29.0%

Full IDE

Windows/.NET development

3

Notepad++

27.4%

Text Editor

Windows, lightweight

4

IntelliJ IDEA

27.1%

Java IDE

Intelligent code assistance

5

Vim

24.3%

Terminal Editor

Keyboard-driven, customizable

6

Cursor

17.9%

AI-Powered IDE

GPT integration, code generation

7

PyCharm

15.0%

Python IDE

Django, scientific tools

8

Android Studio

15.0%

Mobile IDE

Android development

9

Jupyter Notebook

14.1%

Data Science

Interactive computing

10

Neovim

14.0%

Terminal Editor

Modern Vim alternative

The AI Development Revolution

Cursor's rapid rise: Achieving 17.9% adoption in its first full year represents the fastest IDE adoption in software development history.

AI-powered development features:

  • Code completion: Context-aware suggestions beyond simple autocomplete

  • Code generation: Natural language to code translation

  • Bug detection: AI identifies potential issues before runtime

  • Documentation: Automated comment and documentation generation

VS Code maintains leadership:

  • Extension ecosystem: 45,000+ extensions available

  • Cross-platform support: Windows, macOS, Linux compatibility

  • Microsoft backing: Regular updates, long-term support

  • Learning curve: Minimal setup required for beginners

Community Platforms: Developer Knowledge Sharing

Where developers are connecting and learning from each other in 2025:

Rank

Platform

Usage %

Primary Purpose

Content Type

1

Stack Overflow

84.2%

Q&A, Problem Solving

Text-based help

2

GitHub

66.9%

Code Sharing, Collaboration

Code repositories

3

YouTube

60.5%

Video Tutorials

Educational videos

4

Reddit

53.7%

Community Discussion

Forums, AMAs

5

Stack Exchange

46.5%

Specialized Q&A

Topic-specific help

6

Discord

38.9%

Real-time Chat

Community servers

7

LinkedIn

37.2%

Professional Networking

Career content

8

Medium

29.3%

Technical Writing

Long-form articles

9

Hacker News

19.6%

Tech News, Discussion

News aggregation

10

X (Twitter)

17.1%

Quick Updates

Microblogging

Learning Platform Insights

YouTube's educational impact:

  • 60.5% usage demonstrates video's importance for technical learning

  • Popular channels: freeCodeCamp (6M+ subscribers), Traversy Media (2M+)

Community-driven learning:

  • Stack Overflow: Average response time: 23 minutes for programming questions

  • GitHub: 100M+ developers share code and contribute to open source

AI & Large Language Models: The ChatGPT Effect

Most commonly used AI platforms being used in 2025:

Rank

AI Model/Tool

Usage %

Primary Use Case

Provider

1

OpenAI GPT (ChatGPT)

81.4%

Code assistance, debugging

OpenAI

2

Claude Sonnet

42.8%

Code review, documentation

Anthropic

3

Gemini Flash

35.3%

Quick code snippets

Google

4

OpenAI Reasoning

34.6%

Complex problem solving

OpenAI

5

OpenAI Image

26.6%

UI mockups, diagrams

OpenAI

6

Gemini Reasoning

25.6%

Algorithm design

Google

7

DeepSeek Reasoning

23.3%

Code optimization

DeepSeek

8

Meta Llama

17.8%

Open-source development

Meta

9

DeepSeek General

14.3%

General programming

DeepSeek

10

X Grok

11.1%

Code explanation

xAI

AI Integration in Development Workflows

ChatGPT's dominance: 81.4% usage represents the fastest enterprise technology adoption ever recorded.

Developer AI use cases:

  1. Code Generation (89% of AI users): Writing boilerplate, functions, classes

  2. Debugging Assistance (76%): Error explanation and solution suggestions

  3. Code Review (64%): Identifying bugs, security issues, improvements

  4. Documentation (58%): Generating comments, README files, API docs

  5. Learning (45%): Explaining new concepts, frameworks, languages

Productivity impact:

  • Time savings: Average 23% reduction in development time

  • Code quality: 15% fewer bugs in AI-assisted code (GitHub study, 2025)

  • Learning acceleration: 40% faster onboarding for new technologies

AI skills for developers in 2025:

  • Prompt engineering: Crafting effective AI queries

  • AI code review: Understanding AI-generated code limitations

  • Human-AI collaboration: Balancing AI assistance with critical thinking

Collaboration Tools: GitHub's Expanding Ecosystem

Rank

Tool

Usage %

Category

Best For

1

GitHub

81.1%

Version Control, Collaboration

Open source, team projects

2

Jira

46.4%

Project Management

Agile development, issue tracking

3

GitLab

35.6%

DevOps Platform

CI/CD, enterprise security

4

Markdown File

34.8%

Documentation

Technical writing, README files

5

Confluence

32.8%

Knowledge Management

Team documentation, wikis

6

Azure DevOps

16.6%

Microsoft Ecosystem

.NET development, enterprise

7

Notion

16.5%

All-in-one Workspace

Team organization, notes

8

Obsidian

16.1%

Knowledge Management

Personal knowledge graphs

9

Google Workspace

15.2%

Office Suite

Document collaboration

10

Miro

14.3%

Visual Collaboration

Brainstorming, diagrams

Version Control & Collaboration Skills

Git/GitHub proficiency: Now required by 94% of developer job postings

Learning priority: Essential for all developers, regardless of specialization

Advanced features: GitHub Actions (CI/CD), GitHub Copilot (AI assistance), GitHub Projects

Frequently Asked Questions

A: JavaScript remains the most popular programming language in 2025, used by 66% of developers according to Stack Overflow's survey of 49,000+ developers. However, Python showed the largest year-over-year growth at 7 percentage points.

Q: Why is Python growing so fast in 2025?

A: Python's 7% adoption increase is driven by the AI and machine learning boom. With over 81% of developers using AI tools like ChatGPT, and AI job postings increasing 156% year-over-year, Python's simplicity and extensive ML libraries (TensorFlow, PyTorch) make it essential for AI development.

Q: Should I learn Python or JavaScript first?

A: For beginners, the choice depends on career goals:

  • Choose JavaScript if: You want to build websites, web applications, or need immediate job opportunities.

  • Choose Python if: You're interested in AI, data science, or backend development.

Q: Is Docker really necessary for developers in 2025?

A: Yes. With 71.1% adoption rate among developers, Docker has become essential infrastructure knowledge. It solves the "works on my machine" problem, enables microservices architecture, and is required for modern CI/CD pipelines.

Q: What database should I learn?

A: PostgreSQL (55.6% usage) offers the best learning ROI because:

  • Market demand: 73% increase in job postings

  • Enterprise adoption: Used by major companies (Apple, Instagram, Netflix)

  • Skills transfer: PostgreSQL knowledge applies to other SQL databases

Q: Are AI tools replacing developers?

A: No, AI tools are augmenting developers, not replacing them. 81.4% of developers use ChatGPT for assistance, reporting 23% productivity improvements. AI handles routine tasks, allowing developers to focus on architecture, problem-solving, and creative work. Developers who integrate AI tools are becoming more valuable, not obsolete.

Accelerate Your Team's Learning Journey

Ready to upskill your development team in the most in-demand technologies of 2025?

Tami's expert-led corporate training programs help your developers master Python, cloud development, React, and other critical skills faster than self-study.

Why Tami for corporate developer training?:

Data-Driven: Training programs based on real industry demand
Expert Instructors: Senior developers with 10+ years industry experience
Measurable Results: Track and measure your team’s results
Flexible Delivery: In-person, virtual, or hybrid training options
Custom Programs: Tailored to your projects and business needs

  • Python for AI Development

  • React & Modern JavaScript

  • Cloud Development with AWS

  • Docker & Kubernetes

  • Full-Stack Development

Thank you for reading!

P.S. You can read the full 2025 Developer Survey Report from StackOverflow here.

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