Software teams build things that did not exist yesterday. New systems, new integrations, new infrastructure, new ways of solving problems. Yet many developers and engineering leaders assume that “R&D development” belongs to pharmaceutical labs or hardware manufacturers, not people writing Python, Go, or TypeScript. Surprisingly, that assumption could be costing them a significant amount.
This guide is designed as a clear starting point for developers, CTOs, engineering managers, and founders who want to understand how their everyday technical work fits into the definition of R&D development. We’ll take you through everything you need to know and answer the questions:
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- What is R&D development?
- Is software development considered R&D?
- What constitutes R&D in software development?
- What is the difference between R&D and product development?
Once we hammer down those basics, we’ll tackle some additional FAQs:
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- How does the IRS decide if you qualify for tax credits?
- What are common examples of qualifying activities in software?
- How much is the tax credit worth?
- What kind of documentation helps secure the tax credit?
Let’s break all of this down in practical terms and connect the dots between code and credits.
What is R&D Development?
R&D stands for research and development, but in the context of the tax code, it has a very specific meaning. R&D development refers to systematic activities intended to improve a business component and eliminate technical uncertainty. It doesn’t require white lab coats or peer-reviewed journals. It doesn’t require publishing findings. It doesn’t even require success!
The R&D tax credit is readily available to most organizations…It is a tax provision that isn’t widely known, but exists to help companies that are making R&D investments. I highly recommend taking advantage of it!
– Phil Harris, Founder at Topo.ai
At its core, R&D development is about this: You are trying to figure out whether something can be built, or how it can be built, and the answer is not obvious at the outset. The tax code does not reward ideas. It rewards the process of trying to solve hard technical problems. For software teams, that might mean:
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- Figuring out whether a new architecture can scale to millions of users
- Determining how to reduce latency below a certain threshold
- Designing a secure way to process sensitive data
- Building a system that integrates with undocumented or inconsistent third-party APIs
The key to knowing if your work will qualify is whether it meets specific criteria, commonly referred to as the Four-Part Test. Essentially, these activities are held under the IRS’ microscope to see if they qualify for the R&D tax credit. If you’re not familiar with the Four-Part Test, here is a brief overview:
Permitted Purpose: You’re developing or improving a product, process, or software to enhance performance, reliability, or quality.
Elimination of Uncertainty: At the outset, there were real technical unknowns about whether or how the solution could be achieved.
Process of Experimentation: You tested alternatives, evaluated results, and refined your approach through systematic trial and error.
Technological in Nature: The work relies on principles of engineering, computer science, or other hard sciences.
For more detail and context into how the Four-Part Test is structured and applies to your business, read more in this comprehensive guide to R&D tax credits.
Is Software Development Considered R&D?
Yes, software development can absolutely be considered R&D. The important thing to note, as we covered with the Four-Part Test, is that not all software work qualifies. What is R&D in software development really? It is not simply shipping features. It is not routine debugging. It is not copying a competitor’s functionality. It is the effort to solve technical “how-to” challenges.
Whether you’re training a model to achieve acceptable accuracy with limited labeled data, or you’re just trying to reduce computing costs by redesigning your data pipeline, there are countless opportunities to get credit for the work your software company is doing.
Think of your process. If you don’t know the answer to a question, and you have to test hypotheses, evaluate alternatives, and refine your approach, you are operating in R&D territory. Many teams are doing this every sprint without even realizing it!
While we’re here, let’s also address a few persistent myths about qualifying for the R&D tax credit:
Myth 1: R&D only applies to groundbreaking innovation
Reality: Incremental improvements can qualify if they involve technical uncertainty.
Myth 2: If we failed, it does not count
Reality: Failure can still qualify. The credit rewards the process, not just the outcome.
Myth 3: Only large companies benefit
Reality: Startups often see some of the most immediate cash flow impact.
Myth 4: We just build software. That is not research
Reality: If your team is systematically solving technical problems with uncertain outcomes, that is R&D development.
Myth 5: Companies who claim R&D will always trigger audits
Reality: The IRS has guidelines, and as long as you follow them and document your activities correctly, you’re in a good position.
Myth 6: R&D isn't worth it anymore after 2022
Reality: The difficult rules that started in 2022 have changed! The R&D tax credit is still a valuable resource for companies investing in innovation. It’s designed to encourage growth and development, so if you’re working on improving your products or processes, don’t miss out!
Myth 7: My books have to be perfect to claim R&D
Reality: While having accurate records is important, you don’t need to have everything flawless. The key is to have reasonable documentation of your projects and expenses related to R&D activities.
Myth 8: Pre-revenue companies don't qualify for R&D.
Reality: Even if your company isn’t generating revenue yet, you can still qualify for and monetize the R&D tax credit as long as you’re engaging in qualified research activities.
Common Examples of R&D in Software
Software teams often assume R&D means something dramatic: a brand-new programming language, a breakthrough AI model, or a moonshot project in a research lab. In reality, much of the work that qualifies as research and development happens in ordinary engineering cycles. Anytime your team is trying to solve a technical problem where the answer isn’t immediately obvious, you are likely stepping into R&D territory. Below are several common examples of software R&D that frequently qualify:
Developing New Source Code or Proprietary Algorithms
If your team is writing original code to solve complex technical challenges, that work may qualify.
Examples:
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- Building a recommendation engine
- Designing a fraud detection algorithm
- Creating a custom data compression method
Implementing a novel search ranking system
The focus is not on whether the feature is new to the world. It is whether the solution required technical experimentation.
Artificial Intelligence and Machine Learning
AI and machine learning projects frequently qualify as R&D development.
Examples include:
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- Training and tuning machine learning models
- Developing new feature engineering techniques
- Experimenting with model architectures
- Improving inference speed or accuracy
These projects almost always involve uncertainty and iterative testing.
Blockchain and Distributed Systems
Work involving distributed ledgers, consensus mechanisms, or cryptographic protocols often includes significant technical experimentation.
For example:
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- Designing a secure smart contract framework
- Solving synchronization issues across distributed nodes
Improving throughput without sacrificing consistency
Performance and Scalability Improvements
R&D is not limited to entirely new systems. While routine maintenance does not qualify, systematic technical problem-solving often does. Improving the functional capacity or speed of an existing application can qualify if it requires experimentation.
Examples:
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- Reducing API response times through architectural redesign
- Refactoring database schemas to eliminate bottlenecks
- Optimizing caching strategies
- Reducing cloud infrastructure costs through technical redesign
If you are wanting real-world case studies where software companies have found success applying for the R&D tax credit, glance at this collection of examples of qualified activities from top industries.
What is the Difference Between R&D and Product Development?
Now that we understand a bit more about the qualification standards facing software companies, we can explore the crucial line that is drawn between R&D and product development. Unfortunately, this is where confusion usually creeps in.
Product development is about delivering a marketable product.
R&D development is about solving technical uncertainty.
They often overlap, but they are not the same. Let’s draw up an example of how this can look. Imagine your team is building a new SaaS platform.
Product development includes:
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- Designing user interfaces
- Implementing standard CRUD operations
- Releasing version 1.0
- Managing feature requests
- Addressing known bugs
R&D development, on the other hand, includes:
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- Designing a novel algorithm to personalize user experiences
- Testing different architectural patterns to handle concurrency
- Experimenting with caching strategies to reduce response time
- Prototyping multiple data models to determine scalability
The difference is not whether the work is part of a product, it’s whether it involves technical experimentation. Here is a practical way to think about it during a sprint:
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- If the task is straightforward and the solution is known, it is likely product development.
- If the task requires testing multiple approaches because the outcome is uncertain, that portion may qualify as R&D development.
- If the task is straightforward and the solution is known, it is likely product development.
The same sprint can contain both! The goal is not to label the entire product as R&D, it is to identify the parts where real technical problem-solving occurred.
How Much is R&D Worth for Software Development?
Now we move from theory to impact. The R&D Tax Credit can significantly reduce income tax liability or, for certain early-stage companies, offset payroll taxes. For software startups, this can meaningfully affect cash flow. The R&D tax credit can have a positive impact on each stage of development for software companies. See the outline below to learn how:
Pre-Seed and Seed Stage
Early-stage startups often operate at a loss. Even if you are not profitable, you may be able to apply federal R&D credits against payroll taxes, up to a capped amount per year. This can reduce burn rate without raising additional capital. For a small engineering team, that can translate into tens or hundreds of thousands of dollars annually. Plus, if you can’t use all your credits this year, don’t worry! You can carry them forward to offset future tax liabilities, giving you even more financial flexibility as your business grows.
The credit almost covered the cost of my salary for an entire year!
–Jeff Coombs, Controller at Origin Financial
Series A
At this stage, teams are growing. Engineering headcount increases. Cloud spend rises. Experimentation intensifies. Qualified wages for developers, engineering managers, and certain technical contractors often represent the largest component of R&D expenses. Credits scale with that investment. The result can be a significant reduction in income tax liability or continued payroll tax offsets. If you find yourself with more credits than you can use in a given year, remember: you can carry them forward or, at the federal level, even carry them back to offset taxes from previous years, maximizing your financial efficiency.
Series B and Beyond
Later-stage companies often have larger engineering organizations and more structured experimentation. As revenue grows, income tax liability grows. R&D credits can directly offset that liability, improving net income and preserving capital for growth initiatives. The value is not theoretical. It is tied directly to what your team is already building.
What Documentation is Needed?
If the IRS or a state tax authority reviews your claim, they will expect to see clear support that connects three things: the technical problem, the experimentation process, and the related expenses. One of the most common issues in audits is not that the work failed to qualify. It is that the documentation failed to clearly explain it. Vague project descriptions, after-the-fact summaries, or estimates without backup can weaken an otherwise valid claim.
For software teams, that can include:
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- Git commit histories
- Jira or ticketing systems
- Technical design documents
- Sprint retrospectives
- Test results
- Architecture diagrams
The good news is that most engineering teams already track much of this! No tracking system has to be perfect, and truthfully, just keeping a paper trail is a great start. There’s always the option to tap a professional in to help you sort through it at the end of the day.
If you’re curious about what exact figures the IRS is looking for, you can take a look at adeep dive into the IRS Form 6765, the form you’ll fill out to claim your R&D tax credit.
Turning Code into Capital
The tax code was designed to reward companies that invest in technological advancement. It can improve cash flow, reduce tax liability, and extend runway.
A great first step is working alongside a professional who can confidently build your tax study to be as accurate as possible and a low-audit risk. Taking action towards claiming your credit is not just about making the most of incentives designed to support innovation, it also ensures that your company can continue providing value for the clients who benefit from your work.