DEV Community: Developer Nation

2nd State of Developer Wellness report

Developer Nation Survey — Tue, 16 Apr 2024 14:26:26 +0000

83% of developers reported feeling burnout at some point in their careers

Burnout, characterised by exhaustion, energy depletion, increased distance from your job and reduced efficiency, is a significant concern in the developer world.
The demanding nature of the work, coupled with factors like tight deadlines, constant learning curves, and potential isolation, can contribute to this state.
However, despite the concerning figure, many developers have started focusing on their well-being now more than ever. More than half of the developers have access to wellness tech through their employers in 2024 - fitness trackers, mindfulness apps, etc. - and more developers have started prioritising their physical and mental health amidst the stiff competition and uncertainty surrounding the tech industry.

We found that 34% of developers exercise once or twice per week while 40% exercise at least 3 times per week! More than half of developers also manage to kick in 6-7 hours of sleep every night, although there is definitely some room for improvement.

Download the full report

In 2023, we ran our first ever Developer Wellness survey with the aim of better understanding developers, levels of their wellbeing and happiness. Last year’s report sparked crucial conversations about well-being in the developer community, shedding light on the challenges developers were facing in their careers.
This year, we return with an even larger survey (nearly 1,000 developers from 86 countries!) to dive deeper. The survey was live for fifteen days during March 2024. More than half of the developers who participated were aged between 18 and 44 years old but we also had 10 developers younger than 18 and 7% were above 55 years old.

8 Indexing Strategies to Optimize Database Performance

Developer Nation Survey — Tue, 09 Apr 2024 15:20:53 +0000

by Pohan Lin

Databases provide the backbone for almost every application and system we rely on, acting like a digital filing system for storing and retrieving essential information. Whether it’s organizing customer data in a CRM or handling transactions in a banking system, an efficient database is crucial for a smooth user experience.

However, when we get into large volumes of data and more complex queries, database management can become daunting. That’s where good indexing strategies can make all the difference.

Think of it like tidying up your digital filing cabinet so you can quickly find what you need without rummaging through multiple drawers and folders to locate the correct file.

By organizing and structuring your data in a way that facilitates quick retrieval, indexing can make a big difference in how well your database performs. Here, we’ll explore some strategies to help you do just that.

Database indexing best practices

Before you settle on a strategy, it’s worth understanding the different ways you can approach indexing to improve query selection and overall database performance.

Identify key queries and columns

Before getting started with indexing, you need to identify the type of queries your application is running regularly and which columns are involved in those queries. This helps you to focus your efforts on areas that will give the best results. There’s no point in spending time and energy indexing columns that rarely get used.

For example, let’s say you’re developing an app for an online bookstore, and one of the most common queries is searching for books by author name. In this case, creating an index on the “author” column can dramatically improve the performance of search queries.

Data orchestration tools can examine query patterns and usage statistics to pinpoint the most commonly executed queries in your database. What is orchestration, we hear you ask.

When we talk about data, orchestration is the process of managing and coordinating various tasks like collecting, processing, and analyzing data from different sources. This helps to keep data operations well-organized and efficient.

By understanding which queries are commonly used, database administrators can prioritize indexing efforts on the columns involved in these queries.

Avoid over-indexing

While indexing can undoubtedly speed up query performance, as the saying goes, you can have too much of a good thing.

Over-indexing isn’t just a waste of time, it can actually have the opposite desired effect and hinder database performance.

Keep in mind that every index you add takes up storage space and needs managing within the database. Plus, having too many indexes in play can slow down your insert and update performance because your database will be working overtime to update multiple indexes with every change.

To avoid this, follow data indexing best practices such as those covered in Apache Hive documentation. Aim to strike a balance between query performance and keeping the database easy to manage.

Focus on indexing columns that are frequently used in WHERE clauses, JOIN conditions, and ORDER BY clauses. Also, think about using composite indexes for queries that involve multiple columns.

Regularly monitor and tune indexes

Creating indexes isn’t one of those jobs you can do once and forget about. Because data and query patterns often evolve over time, you need to regularly check and adjust them.

It’s similar to the practices of Machine Learning Ops (MLOps), where ongoing monitoring ensures the model is still effective. Similarly, consistently reviewing and fine-tuning indexes plays a pivotal role in managing their effectiveness.

Failure to do so can lead to accumulating technical debt, where outdated or inefficient indexes accumulate over time, resulting in degraded performance and increased maintenance overhead.

Use SQL tools like MySQL’s EXPLAIN or Microsoft SQL Server’s Query Execution Plan. These will give you a solid view of how queries are being executed and which indexes are well utilized. You can then more easily see where to add missing indexes and remove ones you no longer need. It also helps you spot opportunities to update existing ones to better suit query patterns.

Let’s look at what that means in practice. Suppose you notice a particular query performing poorly despite having an index. Upon closer inspection, you discover that the index’s cardinality (i.e. uniqueness) is low, leading to poor selectivity. In this case, modifying the index or adding additional columns to improve selectivity could significantly boost that query’s performance.

Consider using covering indexes

A covering index includes all the columns necessary to fulfill a query. This means that the database doesn’t need to keep accessing the underlying table.

To return to our filing cabinet analogy, you can think of it as having the right folders set out in front of you so you don’t have to search through the entire cabinet to find what you need. Using covering indexes can speed up search queries by reducing the number of overall disk I/O operations.

For example, consider a call center analytics software that logs details of each customer interaction. This might include data such as:

Caller ID
Call duration
Call timestamp
Outcome

If you’re frequently running reports on the total duration of calls, creating a covering index on the caller ID and call duration fields can optimize query performance. This allows the software to retrieve call duration information directly from the index without having to repeatedly access the main call log table.

Monitor and manage index fragmentation

Index fragmentation occurs when the logical sequence of index pages is not in sync with the physical arrangement. This can make data storage less efficient and slow down search queries. It’s like a library’s card catalog not matching the actual locations of the books on the shelves.

If you don’t catch this and fix it, the problem will only get worse as more data is added or updated. It’s essential to keep a close eye on your indexes and tidy them up regularly.

One solution is containerization, which provides a structured environment for managing databases. Most modern systems also offer tools for detecting and addressing index fragmentation like rebuilding or reorganizing indexes to help with this.

8 database indexing strategies to try

Not all indexing strategies are created equal. When it comes to finding the best indexing strategy for your database, you need to consider a few things, including:

What type of data you’re working with
Which queries you run often
What performance goals you want to achieve

With that in mind, here are a few examples of indexing strategies for different situations.

1) Single-column indexes
Single-column indexes work well for databases with tables containing a large number of rows and where queries frequently filter or sort data based on a single column. For instance, if you’re regularly looking up users by their usernames, create an index for the “username” column in the user table for faster retrieval.

2) Composite indexes
If your common queries involve columns in a WHERE clause or involve ORDER BY and GROUP BY operations on multiple columns, composite indexes might be more useful. For example, if you have a sales database where you’re frequently searching for sales by date and location together, you can create an index for both the “date” and “location” columns.

3) Unique indexes
These ensure data integrity by enforcing uniqueness on one or more columns. They are beneficial for columns that should not contain duplicate values, such as primary keys or email addresses in a user table.

4) Clustered indexes
Some databases feature rows that are physically stored in order based on the index key. In these cases, clustered indexes can improve the performance of range queries or sequential scans. For example, if you organize time-series data by date, clustering the primary key will make it quicker to find information chronologically.

5) Covering indexes
These indexes contain all necessary information for answering a query so the database doesn’t have to revert to the original data table. They’re helpful for queries with SELECT, JOIN, and WHERE clauses.

This can significantly improve query performance, especially in scenarios where you might need to generate data-driven insights from complex queries that involve multiple columns or tables. For example, if you often create reports using data from multiple columns, a covering index could include all those columns to speed up the process.

For organizations managing large-scale data processing tasks, such as those involving HPC batch jobs, implementing covering indexes can significantly improve query performance, especially when dealing with complex queries across multiple columns or tables.

Another crucial consideration for database optimization is ensuring smooth operations during critical periods, such as website launches. Utilizing a comprehensive website launch checklist can help ensure that your database infrastructure is adequately prepared to handle increased traffic and demands on query performance during such events.

6) Partial indexes
When a subset of data is frequently queried, partial indexes can be created to cover only that subset, reducing the index size and improving query performance. An example is creating a partial index for active users in a user table where only rows with “active = true” are indexed.

In cloud environments dealing with massive datasets, partial indexes can help you manage resources more efficiently and maintain optimal performance. What is cloud native architecture? This refers to apps built specifically to work well in cloud environments. It involves using cloud services and concepts like microservices, containerization, and orchestration. It’s frequently used for apps that need to perform in an agile environment and be quickly scaled up or down.

7) Expression indexes
These indexes are created based on expressions or functions applied to one or more columns. They are useful for queries involving computed values or transformations. For example, indexing the result of a mathematical operation or string concatenation performed on columns.

8) Hash indexes
Particularly useful for equality comparisons, hash indexes can provide fast access to data with low cardinality columns or when accessing a large number of rows randomly. They are suitable for scenarios like indexing boolean or enumerated columns.

Database indexing – optimize database performance

In database management, optimizing queries is key to ensuring your database performs well across all platforms, from web to mobile. To do this, you need a solid indexing strategy.

Choosing the right database index can directly impact business operations. When your database is well-organized, it means employees and users can find what they need quickly, leading to tangible benefits from improved response times to streamlined operations and reduced costs.

Understanding the different approaches and best practices means you’ll be better equipped to streamline your data and manage it efficiently.

Pohan Lin – Senior Web Marketing and Localizations Manager

Pohan Lin is the Senior Web Marketing and Localizations Manager at Databricks, a global Data and AI provider connecting the features of data warehouses and data lakes to create lakehouse architecture. With over 18 years of experience in web marketing, online SaaS business, and ecommerce growth. Pohan is passionate about innovation and is dedicated to communicating the significant impact data has in marketing. Pohan has written for other domains such as Spiceworks and Parcel Monitor. Here is his LinkedIn.

How Do UX Design Principles Elevate Customer Experiences?

Developer Nation Survey — Fri, 29 Mar 2024 12:37:32 +0000

by Erika Balla

User Experience (UX) Design principles play a key role in increasing customer experience. UX principles focus on creating products that are user-friendly and meaningful to use.

According to the research paper published by Core, If you want to design a user-friendly interface, white-label service providers who are experts in designing can help you out. White-label web development companies have UI/UX experts who know how to place each UI element in your product. So, white-label agencies can help you build a more responsive and highly interactive design to help the users move around the website.

Here are the things white-label agencies take care of while designing the UI/UX of your product.

6 UX Design Principles for Increasing Customer Experience

1. Simple and Clear Designs

Keeping your website design simple and clear is an integral part of your UX strategy. This would involve defining the navigation menus clearly. You must design intuitive design layouts and use effective language.

Make sure to add inputs and messages along the design wherever needed. It will help enhance the experience of the user. Your white-label design service provider will prioritize simplicity while crafting the solution. They will use the existing successful websites as their guide to define a clean and organized layout.

The services will devise a strategy to make navigation intuitive and guided. This would help people move around without being stuck at any point. Moreover, they can plan for a “one-task, one-screen” layout that avoids clutter.

According to the research paper published by Core, simplicity in design is about going deep into your user’s minds. There are 3 ways to achieve simplicity in design:

• Maintain clarity: Understand and design for your users’ main goals

• Make use of automation: Design for a minimum amount of conscious and cognitive effort

• Limit options: Design for a strong “information scent”

2. Crafting Responsive Designs

Your users access the same websites across devices and resolutions. For instance, a user may access the website on the Chrome browser on their Android tablet. Another user may access the website on their iPhone browser.

It is also possible the same user opens the website on an Android phone and tablet simultaneously. Responsive designs will automatically adapt to the platform’s needs and screen sizes. The design will stay consistent, and users will not face any friction while moving around. This adaptability will enhance the user’s experience.

Your white-label service provider can help you implement the responsive design layout. They are crucial in imagining and testing responsive designs. They will thoroughly test the design and address layout issues in advance.

3. Ensuring Design Consistency

Consistency is key to keeping your users happy. You must ensure your design is aligned with your brand’s identity. Each element must be cohesive and defined.

You must add the brand’s color scheme, typography, and design styles while creating the website. This would make it recognizable and relatable to the users. You can improve the overall appearance and ensure a professional design outcome.

A white-label website design and development service provider works with defined guidelines. They are aware of the design expectations and nuances. As a result, companies can offer clean and consistent designs. Companies would design the wireframe to prototype to eliminate inconsistencies and provide a smooth layout.

4. Well-defined Information Architecture

Information flow is pivotal in enhancing the user’s experience. You must define a logical movement and the organization of the content. When the user moves from one particular information to another, they must sense an intuitive flow.

This would increase the user’s engagement on the website and allow them to find the information faster. You can connect with your white-label service provider to define the sitemap and wireframes for your website. This would establish an organized information flow. You can design the user journeys and map them in your website design.

Companies can also help you conduct usability tests and validate the information flow for engagement.

5. Iterative Design with Feedback Loops

Knowing what your users think of the design is crucial for designing an appropriate website. You must ensure you have a feedback loop that brings back the messages from the user. This would help build a user-centric website.

You must use an iterative design strategy to implement the loops and leverage them to avail the feedback.

You must have defined mechanisms to help collect the user’s feedback. This would include surveys and analytics tools. White-label service providers can implement these feedback loops and incorporate iterative design for excellent user insights.

Companies can use user insights to build an optimized website aligned with the user’s preferences and needs.

6. Accessibility Design Considerations

Diverse users, including people with disabilities, will access your website. You must prepare your website for all user types. Ensure the website is aligned with the ethical design considerations while designing for web accessibility.

Implementation: The white-label service provider is well aware of accessibility guidelines. Their understanding of accessibility standards would help them implement the right headings and alt+text for images.

Moreover, they would ensure the design is accessible via screen readers and other inputs. This would address all the barriers and ensure inclusivity.

Conclusion

It is crucial to create UX-led white-label websites. This would enhance your design strategy and extend exceptional results. You can elevate your user’s experience by implementing consistent and clear designs.

Moreover, it offers an organized information architecture and accessible design that boosts the website’s quality. When your website meets the functional, aesthetic, and quality standards, it is usable, user-friendly, and highly engaging.

This would improve the session length and the conversion rate for your business. Prioritizing UX design principles in your website design is no longer a strategy; it is the definition of a successful website.

Inclusive Tech: The Synergy of AI and Developer Creativity

Lampis P — Fri, 22 Mar 2024 14:05:42 +0000

by Katie Brenneman

There should be no question that the digital landscape should be accessible to all users. After all, it’s a primary forum through which we communicate and collaborate. Developers have an important role to play here. Their perspectives, insights, and creativity drive how products and platforms are designed to meet the needs of diverse audiences.

Yet, it’s still a challenging process. One of the ways that developers are addressing these challenges is by utilizing artificial intelligence (AI) tools. This isn’t about expecting machine learning to magically make all projects more accessible. Rather, it can be a supportive tool for developers to use alongside their creativity to optimize the inclusivity of products.

Let’s explore this idea of AI and developer synergy further.

Ensuring Accessible Platforms

Perhaps the most common area in which AI and developer creativity meet is in web and software accessibility. Just 3% of the internet is considered to be accessible to individuals with disabilities. There’s a need to bridge this gap quickly and effectively.

As a tool, generative AI can be useful here for quickly creating basic code to specific standards of web and software accessibility. ChatGPT and similar platforms can produce drafts of code to the parameters set by the developer. This means that, alongside keeping general web accessibility standards, developers can request code to address the potential inclusivity issues that are common to the specific type of software or website.

That said, the developers themselves play a huge role in getting the most out of generative AI coding. AI cannot produce flawless solutions every time. After all, it doesn’t have access to human empathy and perspectives that can enable developers to spot potential accessibility issues the AI misses.

For instance, those living with genetic mutations can experience a range of nuanced accessibility issues. Some conditions lead to vision difficulties, particularly inherited retinal degeneration. This can make seeing and interacting with software and websites challenging without assistance. Other mutations can also result in conditions that cause non-syndromic hearing loss, affecting a person’s ability to listen to audio media. Developers need to take the time to get a good understanding of the practical hurdles of such conditions. This enables them to be better collaborators with AI in creating accessible platforms.

Influencing Efficiency

It’s important to recognize that efficiency can influence accessibility. We are still learning new things all the time about the challenges people with different disabilities face, particularly regarding emerging software and hardware tech.

For instance, virtual digital environments, such as the metaverse, are coming to the fore. As a result, there’s growing attention on how current virtual reality (VR) and augmented reality (AR) hardware and software can present hurdles to those with disabilities. Developers must be able to respond to this information quickly and effectively to ensure all users have a fair chance to engage meaningfully.

This is another area in which AI tools can be paired with developer creativity. For designers, this begins with doing deep dives into the notes you receive so you can get specific about the issues you need to address. Get to know not just what the hurdles to accessibility are, but also why they are problematic.

A good example of this relates to the aforementioned issues with the rise of VR. Microsoft conducted research into the effects of various low vision conditions. This enabled them to create tailorable visual and audio augmentation tools for developers to incorporate in software. Committing to conducting or seeking out this kind of solid research enables you to devise a range of relevant creative solutions that improve inclusive usability.

Prioritizing Efficiency in Production

However, particularly if you come up with several solutions, it’s not efficient to just introduce one at a time to the public and see if it comes back with issues. AI helps here by efficiently simulating user behavior — including if users with disabilities are using adaptive tools — and testing each of your potential solutions. This helps to highlight any continuing or new issues related to your changes and narrow down the most likely options for introducing back to the marketplace.

AI’s potential for improving efficiency even extends to when developers are part of teams creating physical products. AI-driven design and manufacturing software can speed up product improvement through automation. When developers provide details about inclusivity needs for the design, platforms can generate multiple design alternatives, produce 3D models, and even suggest efficient machining strategies for production.

Empowering Diverse Developers

It’s easy to look outwardly at how the synergy between AI and developers helps create accessible products and online materials. However, it’s also important to understand that it can benefit professionals and the industry, too. Software tools that use machine learning to support development working practices are starting to empower more diverse coders to contribute to the field.

One good example of this is how AI is used for coding without physical interfaces. Developers who live with physical challenges and may not be able to type code can benefit from AI-driven virtual assistants. Conversational AI that interprets voice inputs can connect to development software and enable coders to directly speak their code rather than type it. Importantly, these platforms can be trained on the nuanced jargon and intentions of specific industries, which makes them more accurate collaborators.

Conclusion

Genuine inclusivity is a priority when developing for our increasingly digitally reliant society. AI tools offer developers opportunities to ideate and test more efficiently to improve the user experiences of people with a wide range of accessibility challenges.

That said, the perspectives of people navigating these challenges surrounding disability have a vital role to play, too. Developers must take the time to have meaningful discussions and perhaps involve them in the dev process. This helps to ensure more equal access to products, software, and websites in the digital landscape.

5 Things You Need to Know About Pair Programming

Lampis P — Thu, 14 Mar 2024 12:36:33 +0000

by Jessica True

Programming and development is a minefield of complexity, creativity, and technology. When a business problem needs solving, it often falls to these hardened defenders of the code to find a solution and save the day. Without the expertise of trusted developers, our entire digital ecosystem would fall into disrepair — it may have never even been made.

Still, for the incredible importance of these individuals in business structure, all too often the work itself can be pushed to the side, leading to isolated individuals tackling huge problems that require more resources than they’re given. While there have been a host of strategies to alleviate this, pair programming is emerging as a panacea to the many issues that have plagued programming teams for decades.

What is pair programming?

Pair programming is the approach of creating duos of programmers to tackle a specific project or task. They will work collaboratively to develop the code and tackle any problems faced and will work simultaneously towards the end goal. It is a simple concept in truth and can be modified to suit your development team too, making it a flexible approach to development that has grown in popularity over time.

Pair programming can be employed in development teams of all sizes, from start-ups with fewer than ten employees to huge businesses that routinely have enterprise meeting sessions of dozens of team members.

With that said, the concept does invite a host of questions such as how is the work achieved without stepping on each other’s toes, what is the best approach to establishing a pair programming strategy, and is it even beneficial to apply two individuals to work on one problem? We’ll answer these below and explain the key bits of info you need to know.

5 things to know about pair programming

As adaptable as the concept is, there are a series of established ideas that most pair programming arrangements will adhere to.

There are 3 maExpert – Expertin styles to consider

The vast majority of pair programming setups will fall into one of three main methods — ping pong style, unstructured style, and the driver-navigator approach. Each of these methods has advantages and disadvantages, so it’s worth exploring each to determine what works best for both the individuals and your business.

Ping-pong style

Ping-pong programming focuses on having developers push each other forward with a series of rotating test-based development. Once the problem has been identified and the requirements to resolve it established, one developer will create a test to benchmark successful code commits against. The other developer will program in accordance with those tests and seek to pass them. As the codebase matures and the tests are passed, they can swap roles and work towards a new goal.

This is a great approach to ensure both developers are engaged and are working productively, though the time taken to complete tasks may be longer than other approaches.

Unstructured style

An unstructured style is pretty much what you’d expect — no-holds-barred collaborative development. Programmers are given the autonomy to determine how to best tackle the project and can create code in tandem or in silo of one another, however suits them best.

While this can be a superb way of tackling complicated issues that require two sets of eyes, it can also lead to mismatched inputs and a loss of engagement if one developer outshines the other.

Driver-navigator approach

In this style, developers take two distinct roles. The driver creates all code and contributes the direct work, while the navigator will critique, examine, and help propel the driver forward in their efforts.

For example, the navigator might research information — such as seeking to define ERM at the driver’s request in relation to the task they’re working on — or solutions to an impending issue while the driver continues making progress elsewhere. This helps ensure that work is always moving forward and that both developers feel supported. Roles will often swap over the course of a project, especially when areas of expertise present themselves and an individual can tackle them.

Different pairings can lead to different results

The pairings of developers will have a marked impact on how a task and the individuals will progress. Most developer partnerships can be identified as the following:

Expert – Expert

Ideal for highly complex tasks that require vast amounts of knowledge or expertise to accomplish. Both developers will be highly skilled and can support each other in creative problem-solving and collaborative contribution to the codebase.

Expert – Novice

Ideal for medium-scale projects where both developers can partake in contribution and the senior developer has room to educate and monitor output before task completion. The novice benefits from expert guidance and support, while the expert gets the opportunity to educate and support another team member.

This pairing is particularly effective when aiming for a minimum viable product, as the expert can guide the novice in focusing on essential features and functionalities to deliver a functional solution efficiently.

Novice – Novice

Ideal for simple or low-priority projects, where junior developers can spend time learning and growing with each other to resolve the issue. Best used as part of onboarding activities and training exercises, such as exploring the differences and benefits between Spark vs PySpark.

Depending on whether you need absolute precision within a project or want to create learning opportunities for the team, pairing your developers correctly is a key part of effective pair programming management.

Pair programming can boost morale while speeding up projects

Let’s say your development team is tasked with building a framework allowing for artificial intelligence in customer experience monitoring, and a series of required functions are outlined — live monitoring of data, and export tools for third-party manipulation at a minimum. A project of this scope might seem unmanageable for an individual to tackle, but a pair of expert programmers can work together to break it down and succeed.

The morale boost from working together cannot be understated, especially when things get challenging, and there will be time saved from having additional resources working on a task. In many cases, simply having support when facing difficult circumstances can be the difference between success and failure.

Additionally, with the right infrastructure, like dedicated hosting, teams can ensure consistent and reliable performance, even when working remotely.This is particularly crucial for industries such as finance, where data security and confidentiality are paramount concerns. Therefore, pair programming becomes an indispensable strategy for a finance software development company, ensuring both efficiency and security in collaborative coding efforts.

Pair programming can work remotely with the right tools

With modern technology, it’s incredibly easy for developers to work remotely and still work in pairs contributing to a shared codebase, communicating effectively the whole way. While it is still recommended for teams to work side-by-side when contributing to a single resource, remote working provides a viable alternative that supports modern practices in 2024.

There are several tools that can help facilitate quality output, such as robust communication tools — shared or remote desktop access, screen sharing capabilities, and reliable text and voice communication apps all help to build a seamless experience for developers working as a pair.

Additionally, it’s essential to prioritize security measures, including DMARC compliance, to ensure the protection of sensitive information and maintain a secure development environment. This helps prevent email spoofing and phishing attacks by allowing domain owners to specify how their emails should be authenticated and handled by receiving mail servers.

Not every pairing is going to work out

The unfortunate truth is that everyone isn’t always going to get along. Some personalities clash, and some methods of working won’t lead to an effective partnership. Instead of pushing the issue, if you see problems arise then act to make a change.

This can present itself in stagnation on a project, low output, complaints from a team member, or a lack of contribution by an individual. Always monitor these factors to ensure that everyone is happy and working towards a common goal.

How can pair programming be helpful?

Much in the way that AI in communication appears magical in its ability to transform internal and external comms, an established development pair is capable of programming wizardry they’d be unable to achieve alone.

Think of pair programming as a force multiplier to expedite projects, as a method to train individuals in a real-world environment, and to learn more about your individual developers themselves and their capabilities. It’s a flexible tool to help break programmers out of ruts, promote their personal development, and let them showcase their creativity in a supportive atmosphere.

Can pair programming be harmful?

There are some risks to consider when actively pursuing a pair programming approach. Many of these can be mitigated with proper care, and some will only arise when the pairs themselves are not working effectively.

The main challenges to be aware of include:

Increased cost per project
Lengthier time to complete some projects
Less capacity to tackle multiple projects
Internal conflicts

As long as you monitor your teams closely, the above issues can be largely sidestepped, and the benefits of pair programming can truly shine.

The next steps

Start thinking about how you can implement pair programming strategies into your upcoming projects. If you have reports of stalled development or frustration from individual programmers, that’s the perfect time to explore pair programming and provide a fresh approach for the team to get involved with.

Always remain attentive and agile in your actions when managing pairs. If they’re unhappy or ineffective, don’t be afraid to switch things up and keep changing the dynamic. When things start working, that’s your cue to step away and let them get on with the task at hand. Pair programming can help breathe new life into tired development processes and get teams working creatively again.

You can check more interesting articles in the Developer Nation blog

How Does Collaborative Coding Work?

Lampis P — Fri, 01 Mar 2024 13:09:13 +0000

by Sam O'Brien

We could always do with an extra pair of eyes or another brain to work on our projects. That’s why collaborative coding can be such a useful tool for programmers looking to speed up their development process.

By working on your code with either a team or with one other developer, you can finish your project more quickly while also reducing the amount of errors and bugs – after all, they’re a bit more helpful than the traditional rubber duck.

However, programming is often seen as an independent process, so how exactly does collaborative coding work? We’ll explain that, plus its different benefits and drawbacks, and how you can make it work in your organization.

What is collaborative coding?

Collaborative coding simply refers to any process that involves more than one person working together on a piece of code. In the past, this might have had to take place in an office around a couple of computers but today you can download RealVNC’s MAC remote desktop or other remote working technology to collaborate on code from anywhere in the world.

There are three specific types of work that come under the umbrella of collaborative coding. You might have heard of pair programming, which is when two programmers pair up to work on a project. When more than two people work together, this is referred to as mob programming.

The final form of collaborative coding – code sharing – is less about a collaborative process. Instead, it’s when code that has been developed independently is shared in order to let other developers debug or review it. Code sharing is already widely used in open source projects – that’s why we’ll be focusing on pair and mob programming.

The benefits of collaborative programming

Ultimately, regardless of whether you use a pair programming or mob programming model, collaborative coding is about working together. But what’s the point of collaborative coding? Here are the main benefits:

1. Increased efficiency
Improving efficiency and productivity is a key goal of any business, whether that’s a huge restaurant, a small business phone service provider, or a software developer.

Collaborative coding allows you to work through issues with someone else, meaning that you can draw on another career’s worth of experience and problem-solving. When it comes to producing new ideas, you’ll also find that collaborative working will let you get to appropriate creative ideas more quickly.

Efficiency will also improve in the more technical aspects of your code. With two or more pairs of eyes looking over your code, you’ll be able to spot mistakes sooner. As well as this, you’ll be able to establish an instant and informal process of code review and feedback, meaning that your code will be successful as early as possible.

2. Better resilience
When a project is the sole responsibility of one developer, all it takes to knock that project off track is a bout of flu. As well as this, you can be forced to abandon long-term projects altogether if a developer leaves the organization.

Using collaborative coding will mean that these risks are significantly decreased by spreading responsibility for projects across multiple developers. If a programmer becomes ill, for instance, coding can continue without them, meaning that your projects are more resilient and safeguarded against disruptions.

3. Easier training and onboarding
When new developers join your organization, there are few better ways for them to get to grips with how you do things than by working with an experienced programmer. This means that adopting a model of collaborative coding will make it easier to onboard new recruits.

Using pair programming is also a great way to ensure that more experienced programmers are constantly developing their practice. Without this, developers can become stuck in their ways: collaborative coding is an innovative way that you can encourage cross-training in different programming languages, for instance.

Collaborative coding challenges

While there are many benefits, it’s also important to consider some of the issues that come with collaborative coding:

1. Higher costs
When you’re viewing collaborative coding from a financial perspective, you’ll soon come to the realization that you’ve now got two developers being paid for a job that you previously had just one developer working on.

This means that collaborative coding will often bring higher initial costs – however, these overheads can be overcome in the long term as you see the quality and speed of your programming improve. Additionally, the increased resilience means you’re less likely to end up starting projects from scratch when unexpected situations come up.

2. Communication problems
Programmers are often used to working independently – collaborative coding, on the other hand, requires almost constant communication between team members. This is essentially a separate skill that needs to be developed over time, so developers new to collaborative coding may struggle to communicate effectively as they code.

Starting people off on smaller projects and pairing up the right people with the right skills can help. And don’t forget to provide training, particularly if you’re using collaborative platforms, as you want to ensure everyone on the team gets the most out of it.

3. Platform requirements
As well as requiring a new form of communication, collaborative coding may demand different platforms and technology. Luckily, there are lots of platforms that are specifically designed for collaborative coding that work both in-office and remotely.

You might also find that you have to invest in other pieces of software to make the collaborative process as smooth as possible, from on demand remote support software to a team messaging app. While these platforms are easily accessible, this nevertheless presents an additional upfront cost.

Making collaborative coding work for you

With these challenges in mind, how can you make collaborative coding work for you? Here are our best practices for collaborative coding:

1. Find the right platform
When looking for a platform to host your collaborative coding efforts, you need to invest in one that is perfect for your needs – think about the size of your team (and whether you’re planning to scale further), your preferred programming languages, and its ease of use. You should also look out for platforms that have advanced security measures to protect you against malicious software or cyberattacks.

While you’ll be able to continue using testing software, you’ll also want to consider whether your existing development software is able to streamline effectively with your new collaborative platforms.

In addition, consider project collaboration tools like Jira, which allow developers to plan, track, and work faster when coding software. Encourage teams to collaborate on deploy previews when using these tools, so together they can test and review any code changes before deploying to a live environment.

2. Create balanced teams
Of course, the platform will mean nothing if you don’t have the right people using it. You’ll want to make sure that your collaborative coding teams include a range of different skills and experiences – there’s no point in pairing up two experienced developers who use the same programming languages and who have the same expertise as each other.

In order to help you create balanced teams, you might want to create the equivalent of an online directory for your organization: list your programmers, their relevant skills, and their personal qualities.

3. Assign clear roles
Once you’ve created a collaborative coding team, you should make sure that every member knows exactly what their responsibilities are. In pair programming, a common distinction is between the ‘driver’ (who actually writes the code) and the ‘navigator’ (who keeps larger goals in mind). These roles can be swapped regularly to keep things fresh.

In larger teams, it’s still important that everyone has a clear role. This will keep everyone focused on their specific task, while also ensuring that you allocate human resources effectively by giving individual programmers roles that best suit their abilities and skills; you’ll also be able to give junior and senior developers jobs that reflect their experience.

4. Communicate consistently and regularly
Having clear roles will also help with another key part of collaborative coding: communication. This is because developers will know who to talk to according to their problem or focus.

As well as this, you need to be sure to establish a consistent and regular routine of communication. When coding with others, constant communication will help programmers to spot errors and work together to overcome issues and problems.

This is an essential part of pair programming, but mob programming is also reliant on strong communication. A team of developers producing a remote desktop for Android phone, for instance, will need to have programmers working together to ensure that the final app is coherent and effective.

Collaborative coding – take your programming to the next level
Collaborative coding – whether that’s pair programming or mob programming – is a great way to boost the productivity of your coding projects, as well as to ensure that the overall quality of your code is improved.

There’s a range of different ways that collaborative coding can work. However, for it to be a success you’ll need to make sure that you use the right platform, assign people to the right teams, create clear roles, and maintain regular communication. With this, you can be sure that collaborative coding will take your code to the next level.

Finally, if you want to learn more about collaboration, you might also be interested in our post on How to Develop and Improve Collaboration in DevOps Teams– it’s full of great insights and provides a step-by-step guide.

Bio:

Sam O’ Brien – Vice President of Marketing
Sam O’Brien is the Vice President of Marketing for RealVNC, leading providers of secure, reliable remote access solutions. He is a growth marketing expert with a product management and design background. Sam has a passion for innovation, growth, and marketing technology. Sam has written for other domains such as Debutify and Cloudways. Here is his LinkedIn.

Empowering Your Digital Security: Why Privacy Enthusiasts Should Embrace Hardware Security Keys

Anastasia — Mon, 22 Jan 2024 11:05:11 +0000

In this blog post you will learn how to use a Yubikey to enhance your digital security and privacy practices, such as using it for 2-factor authentication, using Yubikey for SSH, saving PGP Keys, signing code-commits and much more. With the rising threat of cyber attacks and privacy breaches, finding reliable ways to safeguard your accounts should be a top priority for everyone, especially developers. The YubiKey is a hardware USB security key, which stands out as a versatile and robust solution for privacy-focused individuals. This blog post will explore why a hardware security key like YubiKey is indispensable and provide step-by-step instructions on implementing two-factor authentication (2FA) for your Github account.

Take part in the Global Developer Nation Survey and be a catalyst for change. We donate to charity and you get a virtual goodie bag packed with resources. Plus, you get a chance to win amazing prizes. Start here!

Why you Need Hardware Security Keys

Physical Security
Hardware security keys offer a physical element to the authentication process. Unlike traditional methods that rely solely on passwords, YubiKey provides a tangible key resistant to phishing attacks. The cryptographic hashes used to authenticate you to an online service are saved on your key, and since only you have possession of the device, you can log in. This also protects you from becoming a victim of a malicious or phishing website since they don’t have saved your Security keys to authenticate with.

Versatility
YubiKey supports various authentication standards, including FIDO2 and U2F, which are industry standards for multi-factor authentication, making it compatible with a wide range of services and platforms. Its versatility makes it a one-stop solution for strengthening security across different online accounts.

Privacy Concerns
As concerns about online privacy continue to grow, a YubiKey can help you to mitigate risks associated with password breaches. By eliminating the need for passwords altogether in some cases and providing an additional layer of security in others, YubiKey enhances overall digital privacy. Newer Yubikeys also supports Passkeys, currently the most secure ways of passwordless authentication.

Setting Up YubiKey 5C for Two-Factor Authentication (2FA)

Choosing Services

Begin by selecting online services that support YubiKey for 2FA. Popular platforms like Google, GitHub, and others offer seamless integration. You can check the complete list of all the online services that support U2F / Yubikey here.

Registering YubiKey

Follow these steps to register YubiKey for 2FA on the chosen services we will use it for Github:

Example: Setting up YubiKey 2FA on Google

Head to your Github account settings into Password and Authentication tab
Under Two-factor authentication, select Security Keys as your preferred method
Click Add New Security key
A pop-up will appear asking you to insert your Yubikey on the USB port of your workstation.
Insert the security key and touch the pad or press the button depending on your security key model
This should register the security key, and you can add more keys, such as a backup key, using the same steps
If your Yubikey supports NFC, you can also add it using a NFC Compatible mobile device

Testing the Setup

Verify the effectiveness of your 2FA setup by logging in with your YubiKey.

By implementing two-factor authentication, you can significantly enhance your online security. Prioritise your digital security, adopt YubiKey, and enjoy a safer online experience.

Stay safe, stay secure!

What other topics interest you? The NEW Developer Nation survey is live. Participate and shape the trends in software development. Start here!

The World of Enterprise Development: Insights from the Global Developer Nation Survey

Anastasia — Fri, 12 Jan 2024 15:18:01 +0000

According to our data from previous Developer Nation Surveys, at least 18% of software developers currently work for companies with 501-5,000 employees, which often falls in the category of Enterprise Developers. If you are a professional developer yourself, make sure you visit our latest Global Developer Nation Survey and shape the developer landscape and the tools you use.

Dive into the Priorities of Professional Developers

Enterprise developers are playing a crucial role in shaping the digital landscape. They are responsible for creating and maintaining the software that powers businesses, organisations, and everyday life. We met with a few enterprise developers from different verticals to learn more about their work priorities. We created a series of blogs you can read here.

More Enterprise Developers in North America and Western Europe

When it comes to enterprise development, North America and Western Europe reign supreme. The United States alone boasts over 31% of the global enterprise developer workforce, followed closely by Western Europe with over 28.6%. However, Israel, despite its smaller size, punches above its weight with a significant concentration of enterprise developers, accounting for around 9.5% of the global total.
If we break down the enterprise populations by region, we find that 22% of software developers in South Asia are very large enterprise developers.

Development Areas of Choice

SaaS (web) development is a particularly popular area for enterprise developers. Over 68% of enterprise developers are involved in SaaS web development. Besides web apps, enterprise developers are dominated by their involvement in the backend sector: 64% of enterprise developers work in this sector. Enterprise businesses typically have more sophisticated needs that warrant engaging backend developers. With the myriad of resources at their disposal, enterprises are more easily able to develop large scale, connected products with complicated backends — IoT devices, for example. Backend developers are required to achieve these goals.

The 26th, Global Developer Nation Survey is live, open to all developers. Your insights and experience will shape the developer landscape and help tech companies improve the tools you are using everyday.

Six DevOps Trends to Learn About to Stay Ahead in the New Year

Developer Nation Survey — Fri, 22 Dec 2023 11:00:17 +0000

By Pohan Lin

DevOps methodology is an ever-evolving field that supports successful digital transformation. Advances in tech, industry trends, and greater demand to meet customer expectations have led to a growing need for this kind of solution. There’s thus been huge market growth over the last few years, and this trend is predicted to continue into 2024 and beyond.

In fact, a recent study predicted the DevOps market will grow to $51.18 billion dollars by 2030—that’s up from $7.01 billion in 2021.

While the DevOps market can be unpredictable and is ever-evolving, there are some trends you need to know about to stay ahead as we move into the new year. In this article, we’ll touch on automation and AI, serverless architecture, and the importance of diversity and inclusion.

Keep reading to ensure you’re ahead of the DevOps game as we enter 2024.

1. Automation and AI

When it comes to trends and technological advances across industries, there’s one thing that can’t be denied – automation and AI tech are here to stay. As the DevOps market evolves, the two will continue to play a key role in helping teams run more efficiently and analyze data more effectively.

For example, automation tools can assist DevOps teams with handling data and delta streams. What are delta streams, you ask? Essentially, these simplify the act of streaming data into a lakehouse.

As well as automation tools, the effective use of AI can lead to better decision-making and increased performance.

Let’s first look at automation in more detail, before exploring the use of AI in DevOps further.

Automation
There are many benefits to automation, including:

Increased efficiency. Automated AI tools can often complete tasks quicker and more effectively than humans. For DevOps teams, this means increased efficiency and meeting goals and targets faster.

A reduction in man-made errors. Automation tools don’t tire in the same way employees do, and they aren’t affected by personal problems, lack of sleep, or the common cold. Automation reduces the risk of man-made errors by removing the human element of repetitive or monotonous tasks.

Programming repetitive tasks. Automated tools can help DevOps teams program repetitive activities and therefore achieve their objectives faster. Doing so means staff can focus their energy on those tasks that aren’t yet able to be completed by digital technologies.

Artificial intelligence
Artificial intelligence can also be used in DevOps in a multitude of ways. For a start, predictive analytics can forecast future outcomes. By analyzing past deployments and performance metrics, AI tools can help teams improve their output.

Another trend in DevOps is the use of AI for operations and incident management. Using this effectively, teams can analyze data to detect and remediate issues faster. This can help predict problems before they occur and can be particularly useful for teams working on game development pipelines, for example.

Ultimately, automation and AI in DevOps is a trend you need to stay ahead of. Delivering improved performance, increased efficiency, and the ability to predict and prevent problems ahead of time, neither one is going anywhere fast.

2. Cloud-native technologies and serverless architecture

Cloud-native technologies allow organizations to run their operations efficiently by enabling them to build and utilize applications more effectively. For this reason, cloud-based technologies will continue to be widely adopted in DevOps as we head into 2024.

There are many ways in which DevOps teams can use these, including cloud data management and migration. The benefits of cloud-native technologies, such as microservices and serverless architecture, are vast and include:

Faster deployment. DevOps teams can move quicker with cloud-based technologies. They can deploy and iterate on applications more rapidly, which is highly desirable in fast-paced organizations and industries.

Improved scalability. Often, cloud-native technologies are easier for DevOps teams to scale and this therefore makes them highly advantageous.

More flexibility. Cloud-native technologies offer DevOps teams more flexibility, allowing them to create and deploy applications using a wide range of tools.

**Cost-effective. **The reduced need for physical infrastructure is often more cost-effective, enabling DevOps teams to save money and focus on other priorities.

As organizations seek to streamline DevOps operations, improve efficiency, and undergo digital transformation, cloud-native technologies and serverless architecture will thus continue to lead the way.

3. Infrastructure as code

Infrastructure as code (IaC) is another trend in DevOps that’s here to stay. It involves managing infrastructure using the same tools that are used for managing code. This means it’s easier for teams to automate the former and maintain consistency in their infrastructure configurations.
When combined with a multi-cloud approach, the result is standardization across multiple resources or applications, streamlined infrastructure, and greater consistency across platforms, which in turn enhances the user experience.

4. Low code/no code applications

Low code/no code (LCNC) applications use minimal coding and allow developers to create and manage apps quickly and easily. LCNC solutions continue to change the DevOps landscape because they:

Enable developers to quickly build applications.
Streamline DevOps by including monitoring and resource management tools.
Speed up innovation.
Reduce the workload for professional developers.
Enable developers to act quickly on customer feedback.

With all these benefits, it’s no wonder that LCNC is a DevOps trend you need to know about to stay ahead in the new year.

5. The use of data analytics

Another key trend that’s only getting bigger in 2024 is the use of data analytics. Using effective analytics tools can continually improve performance and help give stakeholders a better understanding of their investments. Not only that, but DevOps teams, investors, and stakeholders can use data-driven insights to make better strategic decisions.

Better DevOps decisions lead to cost-effectiveness, better-quality applications, and increased uptake. For example, teams might use analytics to optimize software development processes by providing real-time data and feedback about these.

Or perhaps performance analytics are required to identify and analyze issues, allowing DevOps teams to continually improve their output and, therefore, the user experience.

There is an ongoing need for DevOps teams to understand and analyze the development and performance of their applications. As a first step, they may seek out data lake examples when considering their handling and analytics practices. The benefits of effective analytics are huge and, in today’s rapidly developing world of digital technologies, this need will only continue to grow.

6. An increased focus on security

With rapid advances in digital and cloud-native technologies, it’s no wonder that there continues to be an increased focus on security. As well as a need for enhanced data protection as we move into 2024 and beyond, DevOps teams need to consider:

Application security. Teams will see an increased need to build security processes into application development. As technologies advance, so do security risks. Implementing these practices as part of the development process will become commonplace. This is referred to as DevSecOps.
Cloud security. As we discussed earlier, there’s currently a surge in cloud-native technologies and infrastructure. It goes without saying that DevOps teams will have an increased focus on cloud security as these technologies develop and become more widely used. This may include data encryption, app configuration, or access controls.
Compliance. With a growing focus on security in DevOps comes a growing focus on compliance practices. An IP phone service, for example, will need to meet GDPR protocols. DevOps teams will find a continuing and growing need to ensure they’re compliant with ever-developing industry regulations and standards.

To enhance security and streamline compliance processes, consider using a tool that allows you to create electronic signature solutions for important documents.

As organizations seek to protect their applications, data, and systems against cyber security threats, the need for a greater focus on DevOps security and compliance will grow. This is likely to lead to an increased need for DevSecOps specialists.

Final thoughts

As we head into 2024, it’s essential to stay ahead of these six trends. Of course, with a rapidly evolving field such as DevOps, it is impossible to predict exactly how the landscape will develop.

However, the trends outlined above certainly provide an insight into what the future of DevOps is likely to hold. As cloud-native and AI technology continues to evolve, so will it. The technological shifts mean that more organizations will embrace DevOps to meet their business needs and help them undergo a successful digital transformation.

If there’s one thing that’s for sure, it’s that DevOps itself is going nowhere.

Developer Nation Meme Competition!

Developer Nation Survey — Tue, 12 Dec 2023 15:14:18 +0000

Developer Nation Meme Competition is here! Are you ready to win big?

Join the Developer Nation meme challenge and win Amazon vouchers.
Check out how:

Use one of the templates below and create your original developer humour memes (you can submit multiple ones).
You can add text in the image or in the caption for your entry to be valid.
Share your creation as a comment below.

The deadline is December 19 11:59 PM GMT.
We will feature all memes in the Developer Nation forum as well as in the Developer Nation Newsletter with attribution to their creators.
Winners will be announced on December 21!

Templates:

Examples:

The best 3 ideas win $150, $100, $50 Amazon or equivalent Gift Cards!

Good Luck!

How generative AI will affect developers' work

Developer Nation Survey — Thu, 07 Dec 2023 13:29:23 +0000

In this chapter, of the latest State of the Developer Nation (Q3 2023) we present our analysis from a snapshot of the data
collected to offer insight into how developers perceive the future of generative AI; specifically how it relates to their role as a developer. Here are the key insights:

• The vast majority of developers are quite optimistic about how generative AI will affect their work: 80% agree or strongly agree that generative AI will increase their potential and productivity.
• There’s also a considerable portion of the developer community (61%) who harbour some reservations, as they agree or strongly agree that generative AI raises many ethical concerns.
• C-level technical executives (CIOs and CTOs) and IT managers are the most likely to report that generative AI will render their job obsolete, whereas front-line programmers and architects are the least likely.
• 80% of developers with less than a year of coding experience report that generative AI will allow them to use tools that they previously could not. This drops to 60% among seasoned developers with more than 16 years of experience under their belt.

You can download the full report here

On the role of female coders in software development

Lampis P — Thu, 20 Jul 2023 22:00:01 +0000

Since the beginning of computing, women have consistently played a pivotal role in software development that has frequently been overlooked; from Ada Lovelace developing the first algorithms for modern computers to Margaret Hamilton’s crucial role in the development of on-board guidance software for NASA’s Apollo program.

However, despite women’s exceptional contributions to the field, they have often received less credit than their male counterparts, and their place in the field is questioned.

Today, efforts are being made across the software development ecosystem to address these historical biases. While efforts have been made to promote women to get involved in the historically male-dominated field, there is still considerable work to be done.

Data and technology are not free from bias. Past applications and software development projects have demonstrated the need for input from diverse groups2.

In this chapter, we specifically explore the involvement of women in software development. According to our latest global developer survey (Q1 2023), nearly a quarter of all developers (22%) self-identify as females, the highest proportion since we began asking respondents about their gender.

This is a small increase from two years ago, since Q1 2021, when female coders accounted for 19% of all developers.

This slight increase in the proportion of developers self-identifying as females can be partially attributed to the rise in the representation of women among early-to-mid-career developers. Women currently make up a quarter (25%) of developers between the ages of 25 and 34, the highest proportion of all age groups, up from less than 20% in Q1 2021.

This is followed closely by 23% of developers between the ages of 18 and 24. The highest proportion of women falling within the 25-34 age bracket indicates the possible beginning of a positive trend for the future of women in the tech industry. This is the age when people begin to settle into their careers and is a point where people are likely to develop additional skills that allow them to cross-train and enter industries of their choosing.

Further to this, we are also seeing an increasing presence of women in certain regions that are leading to an increase in the proportion of women in technology overall.

Specific highlights include the Middle East and Africa, where the proportion of women in technology in this region has gone from 10% in Q1 2021 to over 20% currently. Similarly, women made up 15% of developers in East Asia in Q1 2021 and now makeup almost 30% of developers.

Overall, a higher representation of women in the software development ecosystem is a great development. Not only do they bring critical perspectives and approaches to the work being undertaken, but diversity in the workforce offers fresh experiences that can help businesses address underserved needs.

It also enhances efforts to make spaces that are less hostile to women in both overt and subtle ways, allowing even more women to follow their interests in the technology space.

The proportion of women among developers varies substantially depending on the types of projects they are involved in. Virtual reality (VR) and augmented reality (AR) projects have the highest proportion of women, at 33% and 28% respectively, followed by games (28%).

On the contrary, backend services and web application projects have the lowest concentration of female coders, at just 13% and 16%, respectively.

With these sectors selecting those with formal degrees at higher rates than other areas, and a 10 percentage point difference between men and women having such a degree, this may be one factor in the lower presence of women.

Undergraduate degrees in computer science or equivalent are held by 45% of backend developers and 43% of web developers, compared to 37% of all developers.

Further, the lower proportion of women working in backend services and web application development may, in part, be attributed to the historically male-dominated culture within these sectors. Addressing cultural differences3 and fostering a more inclusive atmosphere can contribute to balancing representation and mentorship opportunities within these sectors.

Further, there may be potential unconscious biases in hiring practices derived from existing workplace culture, which may prevent certain development areas from harnessing the full spectrum of talent, and benefit from the input of individuals with diverse backgrounds.

Examining the sizes of organisations that female developers work for throughout various stages of their life and career could indicate that company characteristics have an influence on women’s decisions in the technology sector.

Like young men, young women are more likely to work as freelancers relative to other age groups and only return to similar proportions among developers aged 55 and above. Additionally, younger female developers (18-24) tend to work for smaller companies, whereas older female developers (45+) are more inclined to work for larger organisations with over 10,000 employees.

Examining a particular age group, women between the age of 35 and 44, may offer an insight into issues women have with progressing through their careers. Previous research into women’s careers in the software development sector has highlighted that women are promoted at a lower rate than men4.

However, when looking at the roles women self-identify with, we find that at mid-market companies (251-1,000 employees) and enterprises (1,001-10,000 employees) the percentage of women in management positions (20% and 29%) is significantly higher than at other organisation sizes (13% on average).

These organisations could offer better opportunities for career growth, decision-making, and leadership. In larger companies, management roles might be more hierarchical and bureaucratic, leading to less autonomy and slower career progression.

In smaller companies, limited opportunities due to their size might result in fewer leadership positions being available overall, and with women being a minority in software development, there are fewer women in leadership positions.

Further, there is an underrepresentation of women in certain leadership roles. 11% of men list their role as CIO, CTO, or IT manager, and 14% identify as technical team leads, compared to just 9% and 8% of women. This could create a cycle whereby there may be fewer mentorship opportunities for other women.

When there are fewer female leaders, it has been found in a range of fields5 that it can be harder for women to progress in their careers, and it can be more challenging for aspiring women to find mentors who can guide them, provide valuable insights, and help them navigate their career paths.

However, while still a minority of those in such roles, 25% of those in CEO or management positions are women, compared to their position as 22% of the developer population.

While only a small percentage difference, given their underrepresentation in other leadership roles, this represents an area where women are getting leadership positions. Among the previously discussed issues women may face, women are also less likely to apply for leadership positions where they do not fulfil all of the requirements than men6.

This may be leading women to also self-select towards management positions that are not solely dependent on technical skills.

The observation that women hold a higher proportion of CEO/management roles compared to men (7% against 5%, respectively), particularly in companies with more than 250 employees (8% of women to 4% of men), could indicate a positive shift in gender representation and diversity in leadership positions.

This trend might be driven by a changing corporate culture that is increasingly recognising the importance of gender diversity in leadership, leading companies to seek out and promote women into these roles6 proactively.

Embracing diverse perspectives at the decision-making level can result in better organisational performance and decision-making.

Another factor that may contribute to this observation is the growing appreciation for women’s leadership styles, which tend to be more collaborative, participative, and relationship-oriented. These qualities are often valued in today’s business environment and might make women particularly well-suited for CEO/management roles.

Moreover, women, through their skills and abilities, are likely actively contributing to this positive trend, demonstrating that they are well-equipped for leadership roles. Despite women remaining a minority in leadership this growing representation in CEO/management roles is a step in the right direction, highlighting the benefits of diverse and inclusive leadership.

Want to contribute to data such as the above?

Take the latest wave of our developer nation survey here!