Almost every business now depends on software, and someone has to build it, fix it and keep it running. That someone is a software developer. This guide explains what developers do, the main types, the languages they use, the skills that separate good ones from average ones, and how AI agents are changing the job in 2026.
Who is a software developer?
A software developer is a professional who designs, builds, tests and maintains software: web and mobile apps, business systems, data platforms, the software inside cars and medical devices, and the operating systems they run on.
The US Bureau of Labor Statistics sums up the job well: developers analyze users’ needs, then design and develop software to meet them, plan how the pieces of a system work together, keep programs working through maintenance and testing, and document what they build (BLS). In other words, writing code is only one part of the work. The rest is understanding the problem, choosing a sound design and making sure the result keeps working for years.
What does a software developer do?
A developer’s work follows the software development life cycle. On a small team one person may cover every stage; on a large one, developers specialize but still work across the whole cycle.
Understanding requirements
Before writing code, developers work with clients, users and product owners to understand what the software must do, for whom and under what constraints, such as budget, regulation, data volumes and existing systems. Mistakes made here are the most expensive to fix later.
Designing the system
Developers decide how the software is structured: which components it has, how they talk to each other, where data is stored and which technologies to use. Senior developers and architects lead this, but every developer makes design decisions daily.
Writing and reviewing code
This is the core of the job. Developers write code in one or more programming languages, use frameworks and libraries to avoid reinventing the wheel, and review each other’s changes before they are merged. In 2026 much of the first draft is often written with an AI assistant, and the developer’s job is to steer it and check it.
Testing and debugging
Developers write automated tests that check the code works and keeps working after every change, then track down and fix the bugs that slip through. Our guide to types of software testing covers the main kinds.
Deploying and maintaining software
Software is never finished. Developers release new versions, monitor them in production, fix issues, apply security updates and keep libraries current. For long-lived business systems, this maintenance work takes up most of the software’s life and cost.
Documenting and sharing knowledge
Good developers leave behind clear documentation, readable code and decisions others can follow, so the next person, or the next AI agent, can work on the system safely.
Software developer vs software engineer
The two titles are mostly used interchangeably. Where companies do draw a line, “software engineer” tends to mean a broader focus on system design, architecture and engineering discipline across the whole system, while “developer” leans toward building features. In practice, job descriptions matter far more than titles.
Software developers in 2026: key statistics
Despite the headlines about AI replacing programmers, the numbers point to a profession that is still growing:
- 47.2 million developers worldwide at the start of 2025, up about 50% from just over 31 million in early 2022. Professional developers grew from 21.8 million to 36.5 million in the same period (SlashData, 2025).
- More than 180 million developers now build on GitHub, with over 36 million joining in a single year, more than one every second (GitHub Octoverse 2025).
- 1.72 million software developers worked in the US in 2025. Employment of developers, QA analysts and testers is projected to grow 10% from 2025 to 2035, much faster than the 3% average for all occupations, with about 106,100 openings a year (BLS).
- $135,980 was the median annual wage for US software developers in May 2025 (BLS).
- 84% of developers use or plan to use AI tools in their work, up from 76% a year earlier, and 51% of professional developers use them daily (Stack Overflow Developer Survey 2025).
- 90% of technology professionals use AI at work, and more than 80% say it has increased their productivity (Google DORA report 2025).
The profession is not shrinking. It is changing what a developer spends the day on, which we cover in the skills section below.
Types of software developers
“Doctor” covers both a neurosurgeon and a pediatrician. “Software developer” is just as broad. These are the main specializations you will meet in job ads and project teams.
1. Front-end developers
Front-end developers build the part of an application people see and use: screens, forms, navigation and interactions in the browser. They work with HTML, CSS and JavaScript or TypeScript, usually with a framework such as React, Angular or Vue, and care about usability, accessibility and speed.
2. Back-end developers
Back-end developers build the server side: business logic, APIs, databases, integrations with other systems, security and performance under load. Common languages are Java, C#, Python, Go and JavaScript on Node.js. For business-critical systems, such as banking, insurance or travel, the back end is where most of the complexity lives.
3. Full-stack developers
Full-stack developers work on both front end and back end, and can take a feature from database to screen. They are especially valuable in small teams and early-stage products, where one person needs to cover a lot of ground.
4. Mobile developers
Mobile developers build apps for phones and tablets, either natively, with Swift for iOS and Kotlin for Android, or with cross-platform frameworks such as Flutter and React Native that share one code base across both.
5. DevOps and platform engineers
DevOps and platform engineers build the pipelines and infrastructure that get code from a developer’s laptop to production safely: automated builds and tests, containers, cloud infrastructure defined as code, monitoring and internal developer platforms.
6. Embedded systems developers
Embedded developers write software for devices that are not general-purpose computers: cars, medical equipment, industrial machines, smart home devices. They work close to the hardware, often in C, C++ or Rust, with tight limits on memory, power and response time.
7. Game developers
Game developers build video games using engines such as Unity and Unreal, or custom engines. The work combines graphics, physics, networking and performance tuning, usually in C++ or C#.
8. Systems software developers
Systems developers build the software other software runs on: operating systems, device drivers, compilers, databases and runtimes such as the Java Virtual Machine. Languages are mostly C, C++ and increasingly Rust.
9. Low-code developers
Low-code developers assemble applications on visual platforms with pre-built components, writing code only where the platform runs out. They are common in internal business tools and workflow automation.
10. AI engineers
The newest common title. AI engineers build features on top of large language models and other machine learning models: retrieval over company data, AI agents, evaluation and guardrails, and the integration of all this into existing products. Python dominates model work, while Java, C# and TypeScript are common where AI features run inside production business systems.
What languages do software developers use?
There is no single answer, because each ranking measures something different. Surveys count who used a language, GitHub counts who contributes code in public, and the TIOBE index counts search engine hits. Taken together they give a clear picture.
JavaScript, SQL and Python are the most widely used, because nearly every developer touches a web front end, a database or a script at some point. TypeScript keeps rising: in August 2025 it overtook both Python and JavaScript as the most used language on GitHub (GitHub Octoverse 2025).
Where Java stands in 2026
Java is our main language, so we watch its numbers closely. Its position looks very different depending on where you look:
| Ranking | Java’s position | What it measures |
|---|---|---|
| TIOBE index, September 2026 | #4, rating 7.54% | Search engine results for skilled engineers, courses and vendors |
| GitHub Octoverse 2025 | #4, about 175,000 more contributors than a year earlier (+21%) | Contributors to public repositories |
| Stack Overflow survey 2025 | Used by 29.6% of professional developers | Languages used in the past year |
| Azul State of Java 2026 | 62% of organizations use Java to code AI functionality, up from 50% | Survey of more than 2,000 Java professionals |
The pattern is consistent. Java is not the language hobbyists and new projects on GitHub reach for first, but it remains one of the top four languages in the world and the default for large, long-lived business systems: banking and payments, insurance, telecoms, travel, logistics and government. GitHub describes its growth as “steady enterprise-driven growth”, and the Azul survey shows Java increasingly running AI features in production, not only the transactions around them.
Why companies keep choosing Java for systems that must run for a decade or more:
- Performance at scale. The JVM’s just-in-time compiler and modern garbage collectors handle very high throughput, and features such as virtual threads make concurrent code simpler.
- Stability and long support. Long-term support releases come every two years, and code written years ago still runs. See our list of Java end-of-life dates.
- A mature ecosystem. Spring Boot, Kafka, Hibernate, data grids and libraries for nearly any integration, plus a large pool of experienced engineers.
- Strong typing for teams, and for AI. Typed code is easier to review, refactor and maintain across large teams, and it gives AI coding agents more to check their work against.
For more, read why Java is so popular and our overview of how Java is used in software development.
How to choose a language for a project
For a business, the right language is rarely the most fashionable one. Weigh the kind of system you are building, the libraries it needs, how long it must be maintained, and above all how easy it will be to hire people who know it in five years’ time. Our guide to web application development covers how languages fit into a full tech stack.
Skills every good software developer needs
Programming languages can be learned in months. What separates a good developer from an average one takes years, and it is a mix of technical depth and the ability to work with people.
Technical skills
- One language, in depth. Knowing one language and its ecosystem thoroughly, including its frameworks, tools and performance traps, is worth more than a shallow acquaintance with five.
- Data structures and algorithms. Choosing the right structure is often the difference between a query that takes milliseconds and one that takes minutes.
- Databases and SQL. Nearly every business system stores data. Developers need to model it, query it efficiently and keep it consistent. Our guide to database management systems is a good starting point.
- System design. How to split a system into parts, how they communicate, and how they behave under load and when something fails.
- Testing. Writing tests that catch real problems, so changes can be made with confidence.
- Security. Handling input, authentication, secrets and dependencies safely. See our secure Java guide.
- Cloud and delivery. Containers, CI/CD pipelines, cloud services and the basics of monitoring what runs in production.
Soft skills
- Communication. Explaining technical trade-offs to non-technical people, and asking the right questions before building the wrong thing.
- Problem solving. Breaking a vague problem into concrete steps, and finding the cause of a bug rather than hiding the symptom.
- Teamwork and code review. Giving and taking feedback, and writing code others can work with.
- Business understanding. Knowing why a feature matters lets a developer suggest a simpler or better way to reach the same goal.
- Learning. Tools change every year. The habit of learning matters more than any single tool.
How the developer’s role is changing in the age of AI agents
AI coding tools have moved from autocomplete to agents that can take a task, read the code base, make changes across many files, run the tests and propose a finished pull request. That raises an obvious question: what is left for the developer? The answer so far is: more than before, and more interesting work.
Here is why we are optimistic:
- Developers report real gains. About 70% of developers who use AI agents say agents have reduced the time spent on specific tasks, and 69% say they have increased their productivity (Stack Overflow, 2025).
- Demand is still growing. The BLS projects 10% growth in US developer jobs to 2035, more than three times the average for all occupations (BLS). Cheaper software tends to mean more software gets built, not fewer people building it.
- AI rewards strong engineering. Google’s DORA research found that AI “doesn’t fix a team; it amplifies what’s already there” (DORA, 2025). Teams with good tests, clear architecture and solid review habits get the most out of agents.
- The boring parts shrink first. Boilerplate, upgrades and first drafts of tests are exactly the work developers like least. Agents free time for design, problem solving and talking to users.
The skills that grow in value are the ones listed above: understanding the business problem, system design, testing, security and the judgment to tell good code from code that only looks good. Trust is still being earned: more developers distrust the accuracy of AI output (46%) than trust it (33%) (Stack Overflow, 2025). That is not a weakness of the profession. It is precisely the job: checking, verifying and taking responsibility for what reaches production. Read more in our articles on the future of software engineering and the best AI coding tools.
How to become a software developer
A computer science degree is still the most common route, but not the only one. Many good developers are self-taught or came through bootcamps. Whatever the route, what employers look for is the same:
- Real projects you can show, ideally with code others can read, such as personal projects or open source contributions.
- Solid fundamentals: one language in depth, data structures, databases and testing.
- Experience working with others through internships, team projects or open source.
- Fluency with AI coding tools, together with the ability to explain and defend every line they produce.
Hiring software developers in 2026
For a business, hiring developers is less about finding someone who can write code, which AI can increasingly help with, and more about finding people with judgment: engineers who understand your domain, design systems that last and take responsibility for what goes into production. Senior people with that profile remain hard to find, and hiring them in-house can take months.
You have three main options:
| Option | Works best when | Watch out for |
|---|---|---|
| In-house hiring | The software is your core product and you need the knowledge inside the company for the long term | Long hiring times and competition for senior engineers |
| Team extension | You have technical leadership and a backlog, and need more experienced capacity quickly | You still need to direct the work and own the architecture |
| Outsourced project | You need an agreed outcome, such as a new platform or a modernization, delivered end to end | Scope and acceptance criteria need to be clear from the start |
At Stratoflow we do both of the last two, with a focus on Java. Our Java team extension adds senior engineers, direct employees in Poland, who join your team, work in your repositories and follow your process. You meet and interview them before the engagement starts. If you need an outcome rather than capacity, our Java development team builds and modernizes data-intensive platforms end to end. For background, see outsourcing software development in Poland and how we recruit and onboard our developers.
If you are planning to grow your team, tell us about the gap and we will propose engineers who fit it.