Things that cripple software developer’s productivity

All software development companies, whether small or large, dedicate their time and energy on enhancing their team's productivity. If a team is productive enough, the chances of earning higher revenue will be more and the work efficiency will be better. To succeed in their motives, they must first give a thought to the trigger points that kills their developer’s productivity. So, let’s first figure out the root causes that pull them away from getting into the productive zone.

Needless meetings and vague instructions

Meetings between employees and project managers are often time consuming. Rather than briefing about the progress they engage in problem solving. Sometimes they lose track of time while highlighting the details of a task or an issue they face. Moreover, developers often lose focus when meetings are scheduled on a daily basis, so planning one weekly meeting is good enough. Also, it is better to stick to a specific agenda, keep them short and to the point. Instead of giving vague instructions, detailed descriptions of a task should be given to the developers to prevent redo and wastage of time and resources. 

Micromanagement and technical debt

When managers are tentative about their entry level development team, they spend hours on meetings and over monitor their performance. This pressurizes or demotivates them because under stressful conditions they are unable to produce quality work. Apart from this, the fix it later attitude of developers accumulates work because they look for shortcut methods or write suboptimal code which has to be reviewed later. 

Poor documentation and burnout

Software developers often face the constant pressure of tight deadlines while working on complex projects. The clients or managers demand high quality code which causes a decrease in their productivity because they are unable to fully pay attention to coding or building. This eventually leads to burnout. A major gap in the development cycle can occur due to the absence of clear documentation. Developers will require more time to comprehend the processes, codebase, project and alter the existing code will be challenging.

End Note

Behind the innovative software solutions there are brain racking efforts of software developers. Their productivity can be hampered by various factors, some of which are mentioned above. It is upon the businesses and firms to empower them by creating an environment where creativity along with sustainable growth is prioritized.

 

 

Why Choose Software Development Outsourcing?

 

The full story
Trusting can be daunting in a situation where you entrust an outside party to deliver you services and complete your business tasks. Companies have to rethink many times before they outsource and the same is the case while opting for software development outsourcing. Many of them believe that it is better to have in-house teams of software developers who understand your product better and help you to achieve your objectives. However, outsourcing can be a faster and viable option for scaling operations. There are a number of reasons why companies are eager to outsource software development which will be discussed in this blog. So, let’s have a look!

1. Talent Acquisition
It is very difficult to find the best suitable talent in a highly competitive industry like IT or software development. The demand for software professionals is always high and when businesses go for outsourcing, they get access to a whole new lot of skilled individuals from all around the world, irrespective of geographical boundaries.

2. Low cost of labor
Sometimes when organizations outsource software development teams, the cost that incurs is low and the quality of services that they provide is superlative or up to the mark. This is because the country or the area where they belong has a lower cost of living. Some companies do not want to spend too much on advanced tools and technologies and keep themselves away from hefty upfront investment. However, they should not compromise on the quality while minimizing their costs.

3. Easy Access to Domain Expertise
For in house talent the company utilizes the specialized skills of their existing employees but that’s not all. It’s a great challenge for organizations to look for developers or engineers that have proficiency, domain expertise, knowledge of industry and its requirements. Software development partners have prior understanding which allows you to choose the best product features. They also help you out by giving suggestions on the tech stack that would be in line with your requirements.

4. Takes less time to market
In order to achieve competitive edge, companies tend to bring their products in the market before their rivals. It requires a lot of time, resources and effort in order to build your own in-house team and hire, train and retain them. Through software development outsourcing, organizations can scale up their operations and their products can be marketed efficiently and quickly.

5. Flexibility
Outsourcing enables companies to manage their resources well as they don’t have to hire employees on a full-time basis, they can simply work with the outsourcing teams who can complement their existing employees in the form of a contract. Whenever required, companies can scale up or down their resources, depending on the tasks and their load.

In conclusion, outsourcing software development allows you to minimize bottlenecks, successfully accomplish your projects and at the same time you can get acquainted with new technologies.

Role of Artificial Intelligence in Software Development

Heading towards automation

Artificial Intelligence has brought groundbreaking transformation in software development, cranking up the productivity of developers and engineers by automation of multiple tasks. From face detection and recognition to ride hailing apps such as Careem, InDrive and Uber, AI unfailingly surprises us wherever we go. At every step, AI has been supporting the software professionals by way of honing the software processes and incorporating machine learning. With an increase in mechanization, AI seems to be promising while also unburdening many humanly tasks. Let’s have a look at how AI has eased the software development lifecycle:

1.     Decision making is now faster and better 

AI has swayed the strategic decision making process by limiting human interference through automation. Previously, the management wasted time on discussing which will be the most feasible product, services or feature in which they should invest, AI had made this simple. If the company's AI is adjusted to analyze the pros and cons of a software, it can quickly give performance reviews on updated and new software while also mitigating the risks. Decision making now depends on analytics which will be beneficial in reducing cost and minimizing human errors. Machine learning makes use of the data by gathering and assessing it and on that basis the computer interprets and makes informed decisions. The data can assist in making quick witted and smarter decisions.

2.     Diverging the role of developers

AI is now shifting and morphing the software developers’ role. By assigning specific duties to AI machines, they can polish their other skills and focus on other sets of tasks while simultaneously corresponding with Al. This not only saves their time but also gives them an opportunity to explore new avenues and deal with complex issues. Programmers can work side by side with AI, since it cannot outperform manpower. Coding can be done by AI but software development is challenging and requires human intelligence to decipher, control and give directions. 

3.     Estimates can be precise too

There are tasks in which machines cannot transcend the human brain and vice versa. Same goes for making estimations and predictions. Software developers cannot always make efficacious or close estimations on costs and project timelines. Through Al, you can have a precise estimation of resources, budget needed, how much time and effort will be required to complete a specific task. Based on that, programmers and developers can accept a project. By giving accurate information to your clients and informing them on project progress, there are chances that clients might hire you for future tasks.

4.     Faster Development and less errors 

Machine learning can reduce the time span of many processes by performing automated tasks. For example, there is no need for quality assurance experts to waste time on strenuous software testing. Instead, AI can do this without wastage or any errors. Computers, backed by AI, can perform complex repetitive processes quickly and efficiently. If errors are detected in the software, it can diagnose and correct it on the spot without manual intervention.

5.     Performance management strategy 

With machine learning algorithms, companies can get instant feedback from users. AI enabled software gives developers a clear picture of what areas need further refinement, enhancing customer experience.

Artificial Intelligence is becoming a necessity in this fast paced software industry, where programmers have to align themselves to the latest trends, so investing in AI is crucial.