Software development is a young profession, and we are still learning the techniques and building the tools to do it effectively. I've been involved in this activity for over three decades and in the last two I've been writing on this website about patterns and practices that make it easier to build useful software. The site began as a place to put my own writing, but I also use it to publish articles by my colleagues.

In 2000, I joined Thoughtworks, where my role is to learn about the techniques that we've learned to deliver software for our clients, and pass these techniques on to the wider software industry. As this site has developed into a respected platform on software development, I've edited and published articles by my colleagues, both ThoughtWorkers and others, to help useful writing reach a wider audience.

photo of Martin Fowler

photo: Christopher Ferguson

Martin Fowler

A website on building software effectively

If there's a theme that runs through my work and writing on this site, it's the interplay between the shift towards agile thinking and the technical patterns and practices that make agile software development practical. While specifics of technology change rapidly in our profession, fundamental practices and patterns are more stable. So writing about these allows me to have articles on this site that are several years old but still as relevant as when they were written.

As software becomes more critical to modern business, software needs to be able to react quickly to changes, allowing new features to be be conceived, developed and put into production rapidly. The techniques of agile software development began in the 1990s and became steadily more popular in the last decade. They focus on a flexible approach to planning, which allows software products to change direction as the users' needs change and as product managers learn more about how to make their users effective. While widely accepted now, agile approaches are not easy, requiring significant skills for a team, but more importantly a culture of open collaboration both within the team and with a team's partners.

This need to respond fluently to changes has an important impact upon the architecture of a software system. The software needs to be built in such a way that it is able to adapt to unexpected changes in features. One of the most important ways to do this is to write clear code, making it easy to understand what the program is supposed to do. This code should be divided into modules which allow developers to understand only the parts of the system they need to make a change. This production code should be supported with automated tests that can detect any errors made when making a change while providing examples of how internal structures are used. Large and complex software efforts may find the microservices architectural style helps teams deploy software with less entangling dependencies.

Creating software that has a good architecture isn't something that can be done first time. Like good prose, it needs regular revisions as programmers learn more about what the product needs to do and how best to design the product to achieve its goals. Refactoring is an essential technique to allow a program to be changed safely. It consists of making small changes that don't alter the observable behavior of the software. By combining lots of small changes, developers can revise the software's structure supporting significant modifications that weren't planned when the system was first conceived.

Software that runs only on a developer's machine isn't providing value to the customers of the software. Traditionally releasing software has been a long and complicated process, one that hinders the need to evolve software quickly. Continuous Delivery uses automation and collaborative workflows to remove this bottleneck, allowing teams to release software as often as the customers demand. For Continuous Delivery to be possible, we need to build in a solid foundation of Testing, with a range of automated tests that can give us confidence that our changes haven't introduced any bugs. This leads us to integrate testing into programming, which can act to improve our architecture.

Photostream

Cape Cod, MA (2017)

Data Management

There are many kinds of software out there, the kind I'm primarily engaged is Enterprise Applications. One of the enduring problems we need to tackle in this world is data management. The aspects of data managment I've focused on here are how to migrate data stores as their applications respond to changing needs, coping with different contexts across a large enterprise, the role of NoSQL databases, and the broader issues of coping with data that is both Big and Messy.

Domain-Specific Languages

A common problem in complex software systems is how to capture complicated domain logic in a way that programmers can both easily manipulate and also easily communicate to domain experts. Domain-Specific Languages (DSLs) create a custom language for a particular problem, either with custom parsers or by conventions within a host language.

Books

I've written seven books on software development, including Refactoring, Patterns of Enterprise Application Architecture, and UML Distilled. I'm also the editor of a signature series for Addison-Wesley that includes five jolt award winners.

My Books Page...

Conference Talks

I'm often asked to give talks at conferences, from which I've inferred that I'm a pretty good speaker - which is ironic since I really hate giving talks. You can form your own opinion of my talks by watching videos of some my conference talks.

My Videos Page...

Board Games

I've long been a fan of board games, I enjoy a game that fully occupies my mind, clearing out all the serious thoughts for a bit, while enjoying the company of good friends. Modern board games saw dramatic improvement in the 1990's with the rise of Eurogames, and I expect many people would be surprised if they haven't tried any of this new generation. I also appear regularly on Heavy Cardboard.

My Board Games page...

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Recent Changes

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Privacy Enhancing Technologies: An Introduction for Technologists

Tue 30 May 2023 10:32 EDT

Making data open and available to all helps us all understand our world and are thus better informed to shape the policies to run it. But such openness does come with problems - one in particular is the invasion of people's privacy. Detailed census information about household income helps debate and planning for local government, but can reveal personal information that citizens reasonably prefer to keep private. Privacy Enhancing Technologies are tools that can finesse this problem. My colleague Katharine Jarmul is a data scientist who is also an activist for personal privacy. Here she introduces three of these tools that are usable now: Differential Privacy, Distributed & Federated Analysis & Learning, and Encrypted Computation.

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Dependency Composition

Tue 23 May 2023 13:56 EDT

Developers commonly ask "what framework should we use for dependency injection". Daniel Somerfield explains why this is the wrong question, instead we should focus how to have clearly separated modules with a simple composition mechanism between them. He illustrates how he approaches this in TypeScript, with a minimalist "function-first" approach, on a simple example application separating application logic from persistence.

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Emacs xref stopped working on Macs with dumb-jump

Fri 19 May 2023 12:48 EDT

Recently I found that xref in Emacs had stopped working for me on my mac laptop. Today I finally tried to figure out what went wrong. xref is just a front-end, all the work is done by backends. It took a while for me to realize (ie remember) that I was using the excellent dumb-jump package as the backend. dumb-jump uses a range of fast search commands (such as ag and ripgrep) to detect references without using the awkward tags tables that Emacs used to rely on.

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Using ChatGPT as a technical writing assistant

Wed 26 Apr 2023 10:49 EDT

My colleague Mike Mason is an experienced software developer and architect. He's also an skillful writer, with a couple of books under his belt together with plenty of writing for Thoughtworks, including a regular macro-trends article and contributing to the Thoughtworks Technology Radar. In the last couple of months he's been experimenting with Large Language Models (LLMs) both for programming and prose writing. Here he focuses on the latter, sharing how he's been able to make effective use of ChatGPT.

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An example of LLM prompting for programming

Thu 13 Apr 2023 09:30 EDT

A couple of weeks ago I watched a fascinating Zoom call hosted by Xu Hao, Thoughtworks's Head of Technology in China. He showed an example of how he uses ChatGPT to help him code in a self-testing style. His initial prompt primes the LLM with an implementation strategy (chain of thought prompting). His prompt also asks for an implementation plan rather than code (general knowledge prompting). Once he has the plan he uses it to refine the implementation and generate useful sections of code.

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