As companies look for better ways to understand how different departments work at a granular level, engineering has traditionally been a black box of siloed data. Pinpoint, an Austin-based startup, has been working on a platform to bring this information into a single view, and today it released a dashboard to help companies understand what’s happening across software engineering from an operational perspective.

Jeff Haynie, co-founder and CEO at Pinpoint says the company’s mission for the last two years has been giving greater visibility into the  engineering department, something he says is even more important in the current context with workers spread out at home.

“Companies give engineering a bunch of money, and they build a bunch of amazing things, but in the end, it is just a black box, and we really don’t know what happens,” Haynie said. He says his company has been working to take all of the data to try and contextualize it, bring it together and correlate that information.

Today, they are introducing a dashboard that takes what they’ve been building and pulls it together into a single view, which is 100% self-serve. Prior to this, you needed a bunch of hand-holding from Pinpoint personnel to get it up and running, but today you can download the product and sign into your various services such as your git repository, your CI/CD software, your IDE and so forth.

It also provides a way for engineering personnel to communicate with one another without leaving the tool.

“Obviously, we will handhold and help people as they need it, and we have an enterprise version of the product with a higher level of SLA, and we have a customer success team to do that, but we’ve really focused this new release on purely self service,” Haynie said.

What’s more, while there is a free version already for teams under 10 people that’s free forever, with the release of today’s product, the company is offering unlimited access to the dashboard for free for three months.

Haynie says they’re like any startup right now, but having experience with several other startups and having lived through 9/11, the dot-com crash, 2008 and so forth, he knows how to hunker down and preserve cash. At the same time, he says they are seeing a lot of in-bound interest in the product, and they wanted to come up with a creative way to help customers through this crisis, while putting the product out there for people to use.

“We’re like any other startup or any other business frankly at this point: we’re nervous and scared. How do you survive this [and how long will it last]? The other side of it is that we’re rushing to take advantage of this inbound interest that we’re getting and trying to sort of seize the opportunity and try to be creative about how we help them.”

The startup hopes that, if companies find the product useful, after three months they won’t mind paying for the full version. For now, it’s just putting it out there for free and seeing what happens with it — just another startup trying to find a way through this crisis.

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HCL Technologies (HCL), a leading global technology company, today announced the general availability (GA) of HCL Domino Volt, a new low-code capability built on the HCL Domino platform. This release continues HCL’s commitment to transform over 10 million enterprise-grade apps powering business for more than 15,000 customers. Starting today:

• Domino Volt adds low code to your team’s arsenal. Traditional app developments are time-consuming, expensive to build, and rely heavily on IT developers and resources. Domino Volt puts more power in the hands of business users and IT staff, providing them the ability to build enterprise apps lightning fast to quickly overcome challenges and react to market demands.
• Domino Volt builds apps 70% faster. Domino Volt users can create web apps complete with forms, views, and workflows in minutes, even from a spreadsheet. More technical developers can build apps up to 70% faster and efficiently extend them with integrations, customized CSS, JavaScript, and REST APIs. Domino Volt apps are native Domino apps; customers can deploy, manage, and extend the functionality of their apps and deliver them on mobile devices quickly.
• Domino Volt is powered by Domino. Domino has always been a leader in application development, business transformation, and automation. Built on Domino, Domino Volt offers low-code tools with advanced enterprise-grade scale and functionality – with stability and security built in. See increased productivity and enjoy the same low total cost of ownership the trusted and proven Domino platform already provides.

“Domino Volt continues our mission of relentlessly innovating and modernizing the Domino apps that run the business of more than 15,000 customers worldwide. With this release, we are empowering the business users closest to daily processes and issues to build their own apps that not only solve their challenges, but align with their business processes and workflows,” said Darren Oberst, CVP and Head of HCL Software. “From departmental to mission-critical apps, we want to extend the value of Domino to everyone in the organization.”

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A technology to further accelerate the commercialization of Colloidal Quantum Dot(CQD) Photovoltaic(PV) devices, which are expected to be next-generation photovoltaic devices, has been developed.

On the 30th (Monday), DGIST announced that a research team of Professor Jongmin Choi from the Department of Energy Science & Engineering and Professor Edward H. Sargent from the University of Toronto has identified the cause of the performance degradation in CQD PV devices and developed a material processing method capable of stabilizing the performance of the devices.

Quantum dots have excellent light absorbance and are capable of absorbing light over a wide range of wavelengths. Hence, they have gained expectation as a key material for the next generation photovoltaic devices. In particular, quantum dots are light, flexible, and involve low processing costs; therefore, they can be replaced by supplementing the drawbacks of silicon solar cells currently in use

In this regard, several studies on photoelectric conversion efficiency (PCE) have been conducted with the aim of improving the performance of CQD PV devices. However, very few studies have focused on improving the stability of these devices, which is necessary for the commercialization process. In particular, few studies have used the CQD PV device at the Maximum Power Point, which is the actual operating environment of PV devices.

For this purpose, the research team investigated the causes of performance degradation by continuously exposing them to illumination and oxygen for long periods of time, similar to the actual operating conditions, in order to improve the stability required for the actual commercialization stage of CQD PV devices. As a result, it was identified that the iodine ions on the surface of the quantum dot solids were removed via oxidation, resulting in the formation of an oxide layer. This oxide layer resulted in the deformation of the quantum dot structure, thereby decreasing the efficiency of the device.

The research team developed a ligand substitution method with potassium(K) to improve the low efficiency of the device. Ligand refers to the ions or molecules that bond to the central atom of a complex similar to a branch. Here, potassium iodide, which prevents the oxidation of iodine, was deployed on the surface of quantum dot solids to undergo a substitution process. As a result of application of the invented method, the device maintained its continuous performance rate of over 80%, which is its initial efficiency rate, for 300 hours. This number is a figure that is higher than premeasured performance thus far.

Professor Jongmin Choi from DGIST said, “The study is to demonstrate that the CQD PV device can operate more stably in the actual operating environment,” and further commented, “The results are expected to further accelerate the commercialization of the CQD PV device. “

The results of this study were published on February 20, in a world-leading, international academic journal Advanced Materials (IF = 25.809). Professor Jongmin Choi from the Energy Science & Engineering Department of DGIST participated in this study as the lead author.

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Perforce Software, a provider of solutions to enterprise teams requiring productivity, visibility, and scale along the development lifecycle, has announced the release of two new offerings: ZendPHP Enterprise and Laminas Enterprise Support. Zend by Perforce is also extending long-term support for PHP 5.6 and PHP 7.1, which is included with ZendPHP Enterprise and Zend Server, through January 2023.

“Perforce is committed to investing and growing the open source PHP community and our solutions for the long term,” says Ido Benmoshe, Vice President of Products and Solution Consulting at Perforce Software. “More than 80% of global websites run on PHP, and organizations rely on enterprise PHP solutions to ensure the security, performance, reliability, and scalability of their websites and web services. As the leading enterprise PHP solutions provider, Zend by Perforce is reiterating its ongoing commitment to delivering the PHP products and services needed by global industries.”

ZendPHP Enterprise leverages the long history of Zend Server to now offer commercial support and improved security for the open source community PHP runtimes, including many of the most commonly used PHP extensions. In addition to built-in, mission-critical SLAs, ZendPHP customers get extended support for runtimes for at least five years beyond the original release dates. This allows companies to ensure the security and performance of their production applications for longer periods of time and upgrade their PHP runtimes based on their business priorities and timing. Today, long-term support releases include PHP 5.6, PHP 7.1, PHP 7.3, and PHP 7.4.

To help the large number of organizations that are still running PHP 5.6 and PHP 7.1 applications, including industry-leading platforms such as Magento, Drupal, and WordPress, Zend by Perforce is extending its long-term support for the releases for an additional two years. As a result, companies that use PHP 5.6 and PHP 7.1 can get bug fixes and security updates for their runtimes through January 2023. PHP 5.6 was originally released in August, 2014. PHP 7.1 was released in December, 2016. Both continue to be widely deployed.

The new Laminas Enterprise Support service provides mission-critical and long-term support for the open source, Laminas PHP framework, formerly known as Zend Framework. Laminas is the PHP framework and component library used by companies globally to develop robust, scalable enterprise PHP applications. The new Zend service delivers on-demand, consultative support as well as security fixes for Laminas releases and all subprojects — including Mezzio (formerly Expressive) and API Tools (formerly Apigility) — for at least five years beyond their initial release dates.

In addition to investing in new offerings, Zend is continuing to evolve and improve its existing solutions including Zend Server, its global services, and training options.

About Zend by Perforce
Zend by Perforce helps organizations use enterprise PHP to build innovative web and mobile solutions, and modernize existing applications. Used by Fortune 100 companies, our proven enterprise PHP offerings include software infrastructure, tools, and best practices along with service, training, and certification options.

About Perforce
Perforce powers innovation at unrivaled scale. With a portfolio of scalable DevOps solutions, we help modern enterprises overcome complex product development challenges by improving productivity, visibility, and security throughout the product lifecycle. Our portfolio includes solutions for Agile planning & ALM, API management, automated mobile & web testing, embeddable analytics, open source support, repository management, static & dynamic code analysis, version control, and more. With over 20,000 customers, Perforce is trusted by the world’s leading brands to drive their business critical technology development.

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Oracle has announced general availability of Java Development Kit (JDK) 14, its reference implementation of the Java 14 programming language spec.

Rolling out in line with Oracle’s six-monthly release schedule that began with Java 9 in 2017, JDK 14 includes enhancements that Oracle says will improve developer productivity. Java remains the world’s most popular programming language among developers. 

According to Georges Saab, Oracle vice president of development for the Java Platform, the faster six-monthly releases are helping developers adopt new features more rapidly due to regular expected changes. Java 9, for example, was released more than three years after Java 8.  

“Java 14 is further validation of the benefits of the six-month release cadence, giving developers access to features that they would otherwise be waiting years to get their hands on,” he said. 

This release contains the first wave of changes to come from Project Panama, an OpenJDK effort to improve connections between the Java virtual machine (JVM) and non-Java application programming interfaces used by C and C++ programmers. 

Reflecting the shift to more frequent but smaller releases, JDK 14 includes 16 JDK Enhancement Proposals (JEPs) compared with five JEPs in Java 13, eight JEPs in Java 12, and 17 in Java 11. Java 9, by contrast, included over 90 JEPs. 

Saab notes that major improvements in JDK 14 include a Foreign-Memory Access API enhancement (JEP 370), and improvements from Project Amber, another OpenJDK project, including Pattern Matching (JEP 305) and a preview of Records (JEP 359). 

Oracle JDK 14 will receive at least two quarterly updates in line with Oracle’s critical-patch update schedule before Java 15 is released in September 2020.   

Oracle is providing Java 14 as the Oracle OpenJDK release under an open-source GNU General Public License v2. It’s also released under a commercial license using Oracle JDK. 

Most of the nearly 2,000 fixes in JDK 14 have been made by Oracle employees while 528 came from individual developers and other organizations. Some of the main contributors included Red Hat, SAP, Google, Arm, Intel, and NTT Data. 

Java 14 is supported by three main integrated development environments, including JetBrains IDEA, Apache NetBeans, and Eclipse IDE. 

The 16 JEPs in JDK 14 include:

• JEP 305 – Pattern Matching for instanceof (Preview)
• JEP 343 – Packaging Tool (Incubator)
• JEP 345 – NUMA-Aware Memory Allocation for G1
• JEP 349 – JFR Event Streaming
• JEP 352 – Non-Volatile Mapped Byte Buffers
• JEP 358 – Helpful NullPointerExceptions
• JEP 359 – Records (Preview)
• JEP 361 – Switch Expressions
• JEP 362 – Deprecate the Solaris and SPARC Ports
• JEP 363 – Remove the Concurrent Mark Sweep (CMS) Garbage Collector 
• JEP 364 – ZGC on macOS
• JEP 365 – ZGC on Windows
• JEP 366 – Deprecate the ParallelScavenge + SerialOld GC Combination
• JEP 367 – Remove the Pack200 Tools and API
• JEP 368 – Text Blocks (Second Preview)
• JEP 370 – Foreign-Memory Access API (Incubator)

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Scaling Industrial IoT (IIoT) solutions requires a DevOps organization that can manage increased software and hardware complexity in terms of capability, capacity and footprint. DevOps is derived from Development and Operations and is one of the buzz words for ICT companies.

Often it is the amalgamation of Software Developers from R&D and senior engineers from Operations into a new organization. Startups are faced with the challenge of how to quickly create a functioning DevOps organization that can scale with rapid growth. In this article, we will deal with the keys for success to scale software solutions with using an example of an Industrial IoT solution. We will look at how DevOps should function and discuss the important principles for software development, tools and operations.

First, let’s consider what we are trying to achieve via DevOps. Why use it? The advantages of DevOps are usually a combination of the following:

• Increase the frequency and quality of feature deployments
• Increase the frequency and quality of deployments to customers
• Improve solution quality
• Reduce the severity and frequency of release failures
• Improve troubleshooting and recovery capabilities

DevOps achieves this through close cooperation between the Development and Operation functions. This requires and “DevOps culture” that is supported by methods and tools to enable solutions to be created and operated efficiently as they scale.

Culture

Whether Devops is created as a new organization or from existing Development and Operations functions one of the first challenges to overcome is the organizational culture. The culture has to support the ability to produce, faster more reliable solutions that can keep pace with business needs. A key advantage of a DevOps approach is that SW development supports operational activities and vice versa. It is part of the Lean and Agile development methodologies and that implies a certain level of autonomy and speed to “get the job done”. Not all organizations have the experience to manage this autonomy and require support from all stakeholders. It is important to have a culture to guide but not impede agile development. The rotation of engineers between development and operational activities can be a useful tool for creating a DevOps culture but it isn’t restricted in engineers. A true DevOps approach includes development, operations, business owners, customers, and partners communicating and working together to achieve the business objectives.

Automation

Industry 4.0 relies on the use of data from devices and other sources to increase productivity, flexibility and efficiency. The ability to scale solutions without incurring prohibitive complexities and costs is achieved through the automation of industrial and manufacturing processes. However, it should not be limited to these. IoT software and services that are developed to automate the industrial process must be deployed and life cycle managed with maximum efficiency. The Development part of DevOps should consider the operational aspects of new features. The Operations part of DevOps must feed requirements to ensure maximum efficiency as they are best positioned to recommend efficiencies and improvements.

Let’s look at some of the tools and techniques used by DevOps for automation.

CI/CD Continuous Integration/Continuous Development

In order to improve the frequency and quality of deployments, DevOps requires a streamlined automated development process. This implies the use of tools that offer CI/CD Continuous Integration/Development. These accelerate deployment through (semi)automated development pipelines of Develop, Test, Integrate, Deploy, etc. There are numerous tools available such as Jenkins, Travis and GitLab that are cloud independent. Most cloud providers such as Google, Microsoft and AWS also offer complementary products to simplify CI/CD. These provide part of the solution but with the increase in agile development, there are further issues to be solved. Agile development models offer the possibility for Scrums teams to reprioritize work at short notice and this can lead to multiple teams working on the same software module. It can create conflicts and incompatibilities that Scrum masters should manage through the release strategy and schedule of activities in the release process. A release strategy with too many releases will make the management of sprints too complex and ultimately slow the development of new features.

Container Architecture

The majority of IoT solutions (and non-IoT) that are not using a serverless architecture will implement a container architecture with an orchestration manager on a virtualized layer. The software is designed with microservices involving one or more containers deployed on virtual machines. The advantages of this approach will be realized as services scale in terms of features, functionality or installed base.

Using a microservice architecture can be more complex to design but it can increase the ability to isolate and troubleshoot faults i.e. the rewards are reaped later in Operations. Microservices create smaller manageable software modules with clear interfaces that can simplify troubleshooting and allow more complex software to be allocated across multiple development teams. This is nothing new in software development, but the advantages increase with containerized software. Containers typically have multiple microservices that combine to create a complete software function. The container includes all the necessary libraries and dependencies for software to be run on different platforms. This reduces the need for migration or redesign as the footprint grows i.e. reduced complexity for deployment on different environments.

Orchestration

One difficulty with container architecture is that it can become complex for operations to manage as it scales. This has been solved by container orchestration tools, the most popular being Kubernetes. Orchestration management has been further extended with tools such as OpenShift and Docker Swarm or cloud-based tools such as Anthos, EKS or AKS. Many of these tools sit on top of Kubernetes and reduce further the complexity of managing the virtualization layer.

Kubernetes is built for the desired state architecture. This means that the desired state of the system is defined and this is maintained by the orchestration control function. It automates many of the activities carried out by operations staff. The advantages include automated fault recovery, reduced scaling complexity, improved redundancy and increased security as highlighted in the example below.

Let’s take the example of a factory with multiple production lines that plans to automate and transform into Industry 4.0 solutions. They wish to extract the data at various points in the production process to be used by multiple departments and users. The objective is to increase throughput, quality and reduce costs. The software required for this has the functionality as illustrated below.

The robots assemble components, that are configured/calibrated to work together, and they are tested before the final output. This isn’t a very complex scenario, but it is key to understand how this is managed when scale is required. Managing for a few manufacturing lines is not complex but scaling across factories and countries requires advanced automation that can be provided through virtualization, containers and orchestration.

Automated Redundancy

If Container 3 fails due to a hanging process or a communication issue, then operations would be required to perform a manual intervention to restore the service. In a virtualized environment with an Orchestrator, the fault would be detected, and the control plane would start the Container 3 process on another VM, for example, VM2. This is an example of automated redundancy or failover for the solution.

Automated Load Balancing

Take the example off Container 2 on VM2 with buffer congestion that is impacting performance. We would expect operations to manually move processes and load to another VM to maintain performance in line with KPIs. If a container orchestrator is available, it can detect the performance issue and automatically move part of the load to another VM. This reduces the manual workload of operations and facilitates scaling.

Automated Fault Management

If a process in Container 1 hangs the traditional approach would have required that an operator logs into the machine to manually restart the process and recover the service. If an orchestration manager is available, it will automatically start the process on another container. This ensures production continues while the fault is investigated and corrected.

Security

Creating containers with clustering enables software processes and hardware to be isolated offering opportunities for increased security. Security measures can be introduced between the clusters via the orchestrator to harden the security from a hardware and software perspective.

Automated Scaling

Introducing new assembly lines normally requires the deployment of the software stack but that now can be handled by the orchestrator. Updating the required state of the control function to increase the number of assembly lines required will trigger a new deployment of a container. The complexity of this activity has been reduced by offering operations the ability to define how many container instances are required and the orchestrator control function looks after the rest.

Automated Software Releases

To release new software the orchestrator can be updated to specify the newly required system state e.g. SW Release 4.2 instead of 4. The controller detects the system requires an update and schedules the activity. Traditionally Operations would have been required to deploy new versions of software and then redeploy the containers. Now, this process can be automated by the orchestrator.

Autonomy

The architecture above still implies a single point of failure with the Orchestration controller but there are solutions for this. In general, if the controller fails the processes running in the other VMs should not be impacted. However, features such as redundancy would not become unavailable, but the service will continue functioning as defined.

Scaling Strategy

A combination of the tools and processes described above will be fundamental for scaling Industrial IoT Solutions. Implementing DevOps that uses virtualization and orchestration functionality can be part of the solution. However, it introduces organizational and software development complexities and is not for all solutions and organizations. It may not be advisable not to adopt this strategy early in the life cycle of software development with a new DevOps organization. However, it should be possible to design solutions that can have a relatively painless migration when scaling is required.

Well-designed software will be modular, layered and if it has some form of virtualization then the migration shouldn’t be complex.

Successful DevOps organizations will have clear but evolving methods and tools that support a DevOps culture to facilitate scaling.

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You can embark on a path to a lucrative new career with the training in The Complete Introduction to Software Engineering Bundle.

From transportation to commerce to hospitality, entire industries in the U.S. and abroad are all suffering deep across-the-board losses in the wake of COVID-19 aftereffects.

While many industries face uncertain futures, software development and engineering isn’t likely to be one of them. Technology and the web is more vital now than ever, with software already supporting one in every 10 American jobs. With the average software developer making $114,000 a year —more than twice the annual U.S. salary for all jobs — it’s definitely a career worth exploring for anyone looking to transition into a new line of work.

You can get the broad overview training needed to break into this lucrative field with the instruction in The Complete Introduction to Software Engineering Bundle. It’s on sale now from TNW Deals for just $59.99, hundreds of dollars off the regular price.

This package of 13 beginner-level courses can help anyone with designs on a software career get started. 

First, a handful of bedrock courses start exploring core engineering areas, including then fundamentals of web design and electronics.

Of course, no programmer is truly ready to create without a wealth of coding language knowledge — and this bundle features no less than six courses each focused on a different programming discipline. 

The instruction on uber-popular languages like Java and Ruby work nicely with deep delving into more fringe coding frameworks like Perl, Rust and Lua, allowing students to more clearly see where each can best be used throughout the development process. Meanwhile, training in the use of NodeJS and AngularJS helps expand the possibilities for using old-school languages like JavaScript and HTML in new dynamic ways.

With app creation at the heart of modern-day web development, there are also a pair of courses in using creation environments like PhoneGap and React Native to offer speed and versatility to your app builds.

You can pick up all this software engineering know-how and work toward a six-figure salary with this training for over 90 percent off, just $59.99 while this offer lasts.

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The updated Java Development Kit (JDK) offers new functionality, including two new widely awaited sample functionality, such as Pattern Matching (JEP 305) and Records (JEP 359), and the second sample of Text Blocks (JEP 368).

Oracle recently revealed Java 14 (Oracle JDK 14) as being now generally available. Java 14 maintains Oracle’s commitment to speeding up innovation by delivering new features every six months to businesses and the developer community with a new feature update.

In addition, the latest Java release introduces Java language support for swapping expressions, exposes new APIs for continuous monitoring of JDK Flight Recorder data, extends the availability of the low latency Z Garbage Collector to macOS and Windows, and introduces the packaging of self-contained Java applications in incubator modules and a new International Memory Access API for secure, efficient memory access.

The Java 14 launch is the outcome of industry-wide development, including open review, weekly builds, and comprehensive cooperation through the OpenJDK Network and the Java Network Process between Oracle engineers and members of the worldwide Java developer community. The new features Java 14 provides include JEP 305, JEP 345, JEP 349, JEP 352, JEP 358, JEP 359, JEP 361, JEP 364, JEP 368, JEP 370.

Oracle also provides the Oracle Java SE Subscription, a low cost and reliable service solution for consumers and companies looking for commercial service.

This service is presently being used by thousands of large and small global companies requesting the Java SE license, and robust support for the systems they need, and only for as long as they need it.

Java remains the # 1 programming language that software developers prefer. As the timely delivery of innovations with Java 14 shows, the Java platform continues to power modern application creation through careful planning and ecosystem participation.

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As the 2010s came to a close, the red-hot software development and engineering sector left little doubt about one thing: software is still king. After all, there’s virtually no part of our hyper-connected world that could work without it. As we kick off the 2020s, there’s little chance that’s going to change.

The only difference is likely to be in which kinds of software development are in the most demand. That will be shaped mostly by the developing technologies that will require the most new code, as well as by industries that are demanding next-generation digital tools. For software developers out there that are wondering what their work’s going to look like for the next decade, here’s a look at three areas of software development that will stay hot or take off through the 2020s.

Multi-cloud management and operations

Now that the vast majority of major businesses (and small businesses, too) have made the jump into cloud services, the next evolution waiting to happen is a shift to multi-cloud infrastructure as default business strategy. We’ve already seen evidence of it happening in the last few years, as companies have started to expand into using multiple cloud providers as a means of adding fault tolerance and preventing vendor lock-in.

Building the tools to manage those multi-cloud deployments will be a prime occupation for software developers and engineers in the 2020s. They’ll also be called to develop cloud-agnostic solutions that will allow for seamless shifting of applications and business processes between the different cloud providers. At this stage, that kind of approach is still limited to businesses with massive amounts of resourced to devote to the task, but it’s not going to remain that way for much longer.

Social media data harvesting and marketing automation

One of the biggest takeaways from the 2010s was the fact that social media has now cemented its role as both the default global communications medium as well as becoming the modern town square. The fact that the various social media platforms now reach into the lives of the vast majority of the world’s digital citizens means that they’re now integral to business data operations and marketing strategies. That means software developers are going to have to keep on building tools and solutions for businesses to make the best use of what social media has to offer.

Already, the demand for automation and analysis tools within the social media marketing discipline alone is enough for a software developer to build a thriving career with little else. That means that developers who school themselves on the specifics and usages of the major social media APIs could parlay that knowledge into more work than they’d ever have time to tackle – and as the 2020s wear on, the demand in this area will only continue to grow.

Progressive Web App development

As smartphones and tablets became the dominant internet-connected devices in the last decade, a thriving (and lucrative) app economy sprung up in their wake. In the 2020s, much of that ecosystem is going to be replaced by progressive web apps. The cross-platform appeal of building a single web interface to service multiple device types is going to power an explosion of new development in the new decade, upending the current app market.

Developers that get involved with the trend early could find themselves reaping the rewards of a wave that could mimic the frenzy of development that came with the initial rise of smartphones. Any developer that was around for that will remember it as a time of unlimited opportunity – a new frontier for talented and innovative coders. The shift to progressive web apps will be an opportunity that’s similar in scale throughout the 2020s, giving developers a new canvas to work on and a chance to break new ground with software solutions that were impossible with previous-generation approaches. Exciting stuff, indeed.

Opportunity abounds

Although the three areas of development mentioned here are all but certain to stay hot in the new decade, they’re by no means alone. The rapid coming deployment of 5G wireless technology and IoT devices meant to take advantage of it are also going to open new possibilities for developers. Things like real-time portable augmented reality systems will go from novel concepts to real-world staples, automated vehicle systems will multiply tenfold, and new connected device systems will spur an automation wave like none before it. Everywhere you look, the 2020s are going to be an exciting time for developers of all stripes, and the best among them will have their pick of cutting edge projects to work on. I know I’m looking forward to it, are you? Be the first to share this article with your network!

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AI-assisted software development saves time and reduces errors, according to one company that has introduced a low-code visual platform for building customer enterprise software. “Something that took [developers] … five minutes, now they can achieve in 15 seconds,” says Antonio Alegria, head of AI at OutSystems. “And curiously, we’ve seen developers saying … that it’s actually helped them with repetitive strain injuries.”

In the latest episode of The AI Show, we talk to Alegria about smart systems helping developers write software. OutSystems’ low-code platform uses hybrid AI, combining probabilistic deep learning algorithms with configurable hard-coded constraints to predict what developers need next and present that visually.

Trained on “over 15 million instances of code patterns,” the software apparently helps developers reduce cognitive load and focus more on what they want to build, rather than how to specifically actualize it. And if they have to type less, they can reduce repetitive strain on their wrists, elbows, and fingers.

“In many cases where the algorithms have learned specific patterns, you almost can just go, ‘Okay, next, next, next, next, next,’” Alegria says. “It’s very powerful.”

To build the platform, OutSystems makes extensive use of graph neural networks and technologies like TensorFlow. But this isn’t an integrated development environment that you can plug multiple programming languages into: It’s a proprietary system for building business applications, which limits its applicability.

And there are additional challenges, because presenting the next best option to developers isn’t always easy. “What we found is that sometimes we have the AI capability to do the right predictions with high accuracy, but it’s not always easy to find the best user experience to expose this,” says Alegria.

Subscribe to The AI Show on your favorite podcasting platform to get the full story:

• Apple
• Google
• Spotify
• Others here

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