I have spent a lot of time talking to developers, students, recruiters, and companies while building Fueler. One thing I keep noticing is that the way developers prove their skills is changing.
For years, a developer could stand out by listing programming languages, showing a degree, mentioning previous companies, and sharing a GitHub profile. These signals still matter, but the rise of AI coding tools is changing what they tell us. When AI can help generate code, explain errors, write tests, and speed up development, simply saying “I know how to code” is becoming a weaker signal.
This does not mean developers are becoming less important. In fact, I believe the opposite is happening. Developers who understand technology deeply, make good decisions, solve real problems, and know how to use AI effectively can become even more valuable. The challenge is that they need better ways to show those abilities.
That is where proof of work for developers becomes important.
What Is Proof of Work for Developers?
Proof of work is simply evidence that shows what you can actually do.
For a developer, this could be an application you built, an open-source contribution, a useful automation, a technical case study, a system you designed, a bug you solved, or a product you helped ship. It can also include documentation that explains why you made certain technical decisions and how you approached a difficult problem.
The important part is not the number of projects. It is the quality of the evidence.
A developer who writes “Python, React, Node.js, AWS” on a resume is making a claim. A developer who shows a real application, explains the architecture, shares the challenges they faced, and describes how they solved them is providing evidence.
That difference matters even more now because AI tools are becoming part of everyday software development.
According to Stack Overflow’s 2025 Developer Survey, 84% of developers said they were using or planning to use AI tools in their development process, while 51% of professional developers said they use AI tools daily. At the same time, 46% of developers said they do not trust the accuracy of AI output. (Stack Overflow Developer Survey)
The message is clear. Developers are using AI, but human judgment is still important.
AI Is Changing What It Means to Be a Good Developer
When I started building Fueler, I thought a lot about how companies evaluate skills. Traditionally, technical hiring has focused heavily on resumes, interviews, degrees, previous employers, and coding tests.
AI changes this equation because some parts of coding can now be completed much faster.
A developer can ask an AI assistant to generate a function, explain an error, create a test, suggest an implementation, or help understand unfamiliar code. Stack Overflow’s 2025 survey found that ChatGPT and GitHub Copilot were among the most widely used AI assistants in development. (Stack Overflow Developer Survey)
But generating code is not the same as building good software.
Someone still needs to understand the problem. Someone needs to decide whether the generated solution is correct. Someone needs to think about security, performance, maintainability, architecture, edge cases, users, and business requirements.
This is why I do not believe the future belongs to developers who simply write the most code. I think it belongs to developers who can use technology to solve meaningful problems.
Proof of work helps make that difference visible.
Your GitHub Profile Is Useful, But It Is Not the Whole Story
For many developers, GitHub has become an important part of their professional identity. It can show repositories, contributions, open-source work, and technical activity.
But a GitHub profile does not automatically explain the value of the work.
A repository can contain thousands of lines of code without telling a recruiter why the project matters. A contribution graph can show activity without showing whether the work solved a meaningful problem. A project can use an impressive technology stack but still have poor product thinking.
This is why developers need to think beyond simply having a GitHub account.
A strong developer portfolio should provide context around the work. What problem were you solving? Why did you choose this approach? What did you build yourself? Where did you use AI? What did you have to change after testing the solution? What did you learn?
These details can turn a code repository into a meaningful example of your ability.
I have written more about this idea in my guide to building a career portfolio.
AI Makes Human Judgment More Valuable
One of the most interesting things about AI-assisted development is that the developer’s role does not disappear. In many cases, the role moves higher up the chain.
Instead of spending all your time writing every line manually, you may spend more time understanding the problem, designing the solution, reviewing generated code, testing different approaches, and deciding what should actually be shipped.
This requires judgment.
The 2025 Stack Overflow Developer Survey found that 66% of developers were frustrated by AI solutions that were “almost right, but not quite,” while 45% said debugging AI-generated code could take more time. The survey also found that 46% of developers distrust the accuracy of AI output, compared with 33% who trust it. (Stack Overflow Developer Survey)
This is why a developer’s portfolio should not simply show AI-generated output.
It should show how the developer thinks.
A good project can explain the original problem, the approach, the tools used, the role of AI, the mistakes discovered, the improvements made, and the final result. That gives an employer much more information than a list of technologies.
What Should Developers Put in a Portfolio?
A developer portfolio does not need to be complicated.
Start with three to five projects that best represent the type of work you want to get hired for. If you want to become a backend developer, show backend systems. If you want to work in AI engineering, show relevant AI applications. If you want to become a frontend developer, show polished interfaces and explain the technical work behind them.
For every project, give the reader enough information to understand what happened.
Explain the problem first. Then describe your role, the technology you used, the important decisions you made, and the result. If there were challenges, mention them. If the project has a live demo or public repository, include it.
You can also explain how AI was used.
For example, you might say that you used an AI coding assistant to generate an initial implementation, then reviewed the output, changed the architecture, added tests, and fixed several edge cases. That story is much more valuable than simply saying, “Built this project using AI.”
The goal is not to hide the use of AI. The goal is to show that you were responsible for the final result.
Build Projects That Solve Real Problems
One of the strongest ways to create proof of work is to build something useful.
You do not need to create the next major startup. A small application that solves a real problem can be more valuable than a tutorial project that thousands of other developers have built.
Think about problems around you.
Could you automate a repetitive task? Build a small internal tool? Create a better interface for an existing process? Build a data dashboard? Create an API? Develop a useful browser extension? Contribute to an open-source project?
The project does not need millions of users.
What matters is that you can explain why you built it and what you learned while building it.
This also helps developers who are early in their careers. If you do not have professional experience, you can still create evidence of your ability through personal projects.
That is the core idea behind proof of work in a career.
Do Not Confuse Complexity With Quality
A common mistake developers make when building portfolios is trying to make every project look technically impressive.
They add multiple frameworks, complex architecture, microservices, AI agents, cloud infrastructure, and a long list of technologies because they think that is what recruiters want to see.
Sometimes a simple project with a clear purpose is much stronger.
Imagine a developer who builds a simple tool that saves a small business several hours of repetitive work every week. The application may not use the latest technology, but the developer can explain the problem, understand the user, build the solution, test it, and measure its usefulness.
That is meaningful proof of work.
A portfolio should not make someone think, “This person knows many technologies.” It should make them think, “This person knows how to solve problems.”
Show Your Development Process, Not Just the Final Product
The final product matters, but the process behind it can tell an even better story.
When reviewing developer work, I want to understand how someone thinks when things do not go according to plan. Did they test their assumptions? Did they discover bugs? Did they change their approach? Did they consider the user? Did they improve the product after feedback?
These details reveal practical engineering ability.
This is especially important when AI is involved because an AI tool can produce a polished-looking result very quickly. A strong developer should be able to explain why the final implementation works and where it could fail.
That is why I encourage developers to create project case studies alongside their code.
You can think of it as a simple story: problem, approach, implementation, challenges, decisions, result, and lessons learned.
That structure makes technical work much easier for non-technical hiring managers to understand.
Assignments Can Create Better Hiring Signals
This idea is also why we are building assignment-based hiring into Fueler.
A company can write a job description and receive hundreds of resumes. But a resume often does not tell the company enough about how a candidate will perform on the actual job.
An assignment can provide another signal.
Instead of asking a developer only about their skills, a company can give them a realistic problem. The candidate can then submit their solution, and the company can evaluate the work.
This does not mean assignments should replace every interview or hiring process. They need to be reasonable, relevant, and respectful of the candidate’s time. But when designed properly, they can help companies evaluate actual ability.
For candidates, this creates another opportunity to demonstrate skill.
A strong assignment submission can become part of a professional portfolio, especially when the candidate is allowed to share the work publicly.
Developers Should Build Proof of Work Before They Need It
One mistake I see often is waiting until a developer needs a job before building a portfolio.
By then, there is pressure to collect old projects, update a resume, clean up GitHub repositories, and remember what happened years ago.
It is much easier to document your work while you are doing it.
Every time you complete an interesting project, write down the problem, your contribution, the technologies used, the biggest challenge, and the result. Save screenshots, demos, links, and important decisions. You do not need to publish everything immediately.
Over time, these notes become a library of professional evidence.
This is also useful when you are not looking for a job. Opportunities can appear unexpectedly. A recruiter may find your work, someone may recommend you for a project, or a company may need exactly the skill you have been developing.
Your portfolio should be ready before the opportunity arrives.
The Best Developer Portfolio Is Evidence of Growth
A developer’s career is not static.
The technologies you use today may change in a few years. The frameworks you know may become less important. New AI tools will continue to change the development process.
Your ability to learn and adapt therefore becomes extremely important.
A portfolio can make that growth visible.
Someone might start with simple JavaScript projects, then build full-stack applications, contribute to open source, work with cloud infrastructure, experiment with AI applications, and eventually lead technical projects. Looking at those projects together tells a much richer story than a resume listing job titles.
This is one reason I believe developers should treat their portfolios as living career assets.
Your portfolio should change as your skills change.
You can also learn how to organize this work through a career portfolio for developers.
The Future Belongs to Developers Who Can Prove Their Ability
I do not think AI will make proof of work less important.
I think it will make it more important.
When everyone has access to powerful coding assistants, the ability to generate code becomes less useful as a standalone signal. What becomes more valuable is the ability to understand problems, make decisions, review output, build reliable systems, work with others, and take responsibility for what gets shipped.
The developer who can say, “I know React” is making a claim.
The developer who can show a product they built, explain the decisions behind it, discuss the problems they encountered, demonstrate how they used AI, and explain what they would improve next is providing evidence.
That is the difference between saying you can do the work and showing that you can do the work.
As a founder building Fueler, this is the future I want to help create. I want people to have more ways to demonstrate their ability, especially when their background, degree, previous company, or job title does not fully represent what they can do.
AI may change how developers write software.
But developers will still need to solve problems.
And the best way to show that you can solve those problems is to build something, learn from it, and put the work where people can see it.
Frequently Asked Questions
What is proof of work for developers?
Proof of work for developers is evidence that demonstrates their technical ability through real projects, applications, open-source contributions, assignments, case studies, or other completed work. It helps employers evaluate what a developer can actually do instead of relying only on a resume or list of programming skills.
How can developers build a portfolio in the age of AI?
Developers can build an AI-era portfolio by showing real projects and explaining the problems they solved, their technical decisions, development process, and results. They should also be transparent about where AI tools were used and demonstrate how they reviewed, tested, improved, and validated AI-generated output.
Does AI make developer portfolios less important?
No. AI can make developer portfolios more important because traditional skill claims are becoming easier to make. A strong portfolio provides evidence of problem-solving, technical judgment, software development ability, and the capacity to work effectively with AI tools.
What projects should a developer include in a portfolio?
A developer should include three to five strong projects that are relevant to the type of role they want. These can include real products, personal projects, open-source contributions, freelance work, technical experiments, or assignments. The strongest projects clearly explain the problem, the developer’s role, the approach, challenges, and outcome.
How can developers prove their skills without professional experience?
Developers without professional experience can build personal projects, contribute to open source, complete technical assignments, participate in hackathons, or create useful tools for real problems. These projects can become proof of work and demonstrate technical ability even before the developer gets their first full-time role.