Trending March 2024 # Github Survey: 92% Of Programmers Using Ai # Suggested April 2024 # Top 7 Popular

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Also read: How to Get OpenAI API Key for Free GitHub?

The survey, conducted by Wakefield Research on behalf of GitHub, sheds light on the prevalence of AI tools among programmers. Out of 500 surveyed developers, 92% reported incorporating AI tools into their coding process. This statistic showcases the increasing reliance on AI as a means to expedite code creation and debugging.

Also read: French AI Startup Raises €105 Million in a Month

GitHub, owned by Microsoft, collaborated with Wakefield Research to conduct a comprehensive survey of 500 US-based developers working in large companies. The objective of the survey was to explore the usage of AI coding tools, assess their benefits, and gain insights into developers’ perceptions regarding productivity, collaboration, and operating effectively in enterprise environments.

The findings of the survey were groundbreaking. It revealed that an astounding 92% of programmers using AI tools were reported either at work or in their personal time. This high adoption rate showcases the industry’s enthusiasm for leveraging AI assistance in the software development process. Moreover, 70 percent of the respondents acknowledged significant benefits associated with the use of AI coding tools.

Also read: Free Version of GitHub Copilot: What You Need to Know

However, it’s worth noting that not all developers may be aware of academic studies that highlight potential drawbacks of AI coding tools. Some studies have shown that AI helpers like ChatGPT may produce code that falls below minimal security standards applicable in most contexts. Additionally, certain findings suggest that Copilot, GitHub’s AI helper, may generate more security vulnerabilities compared to code created without AI assistance. Despite these findings, developers participating in the GitHub survey remained enthusiastic about the benefits of AI coding tools.

Also read: Is Janitor AI Safe? Exploring the Security and Privacy Measures

The survey also shed light on how developers perceive performance metrics in the context of AI coding tools. Currently, developers are primarily evaluated based on code quality, time to complete tasks, number of production incidents, lines of code written, and the number of bugs or issues resolved. However, when assuming the use of AI coding tools, developers expressed a preference for being judged based on code quality, time to complete tasks, number of production incidents, lines of code written, and the number of pull requests.

This shift in preference indicates a changing landscape where developers prioritize speed and productivity over traditional metrics like code volume. GitHub’s survey suggests that engineering leaders should reevaluate the measurement of productivity and output in light of the increasing use of AI tooling in software development. With AI assistance contributing to code volume, relying solely on lines of code as a productivity metric may no longer be the most effective approach.

The prevalence of AI tools in the programming community is further reinforced by Stack Overflow’s recent experiences. The popular Q&A forum for programmers has witnessed a decline in traffic, attributed to programmers flocking to ChatGPT, an AI-powered chatbot developed by OpenAI. Stack Overflow’s traffic has dropped consistently since the beginning of 2023, with an average decline of 6% per month. ChatGPT provides programmers with immediate solutions, enabling them to bypass the traditional waiting times associated with human responses on Stack Overflow.

Also read: What is Janitor AI? Everything you need to know

The increasing adoption of AI tools in programming raises concerns about potential job losses in the sector. A recent workforce report revealed that nearly 4,000 jobs were lost in May due to artificial intelligence. In light of a potential economic recession, companies may opt to replace human employees with AI technology to cut costs and impress shareholders. However, it is crucial to recognize that AI can serve as a complement to human labor, enabling the optimization of both AI systems and human workers. Research from Stanford University and the Massachusetts Institute of Technology demonstrates that ChatGPT has increased productivity for 14% of employees, with the least experienced and least skilled workers completing tasks 35% faster.

Another concern is the impact of AI coding tools on job security and employment prospects for developers. Some developers worry that AI tools might replace human developers in the future. However, the survey results suggested otherwise. A significant majority of developers (88 percent) believed that AI coding tools are complementary to human developers and will not replace their roles. Instead, they perceive AI tools as enablers that enhance productivity, efficiency, and collaboration.

Q: What are some popular AI coding tools available?

A: There are several popular AI coding tools available in the market, including GitHub Copilot, Tabnine, Kite, DeepCode, and Codota. These tools offer various features such as code autocompletion, bug detection, code suggestions, and documentation assistance.

Q: Can AI coding tools be used with different programming languages?

A: Yes, AI coding tools are designed to support multiple programming languages. They are trained on a wide range of code repositories, allowing them to provide assistance and suggestions across various programming languages and frameworks.

Q: Are AI coding tools only beneficial for large companies?

A: No, AI coding tools can be beneficial for developers and teams of all sizes. While the survey focused on developers in large companies, AI coding tools can be used by individual developers, small teams, and organizations of any scale to improve productivity, code quality, and collaboration.

Q: Are there any privacy concerns when using AI coding tools?

A: Privacy concerns can arise when using AI coding tools, as they often require access to code repositories or code snippets for training and providing suggestions. It is crucial to review the privacy policies and terms of service of the AI coding tools and ensure compliance with data protection regulations.

Q: How can developers leverage AI coding tools effectively?

A: To leverage AI coding tools effectively, developers should familiarize themselves with the capabilities and limitations of the tools they use. They should also validate and review AI-generated code to ensure quality, address potential biases, and adhere to security and best coding practices.

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How To Clone Someone’S Voice Using Ai

If you are really getting into the AI space at the moment you’ve probably dabbled with Midjourney, DALL·E, Stable Diffusion, chatGPT, and a ton of others. However, there is now a brand new tool on the market that allows you to clone voices simply by uploading audio samples. You can clone any voice you want using AI and a short sample of their voice.

AI voice cloning software is a technology that allows you to recreate someone’s voice by uploading audio samples. This technology uses artificial intelligence algorithms to analyze the speech patterns, pronunciation, tone, and rhythm of the person being cloned. Once the software has analyzed the samples, it generates a digital model of the person’s voice that can be used to produce new speech.

The crazy thing is that it is now possible to access voice cloning tools for free right now. While there are tons and tons of beneficial things that can be achieved using these tools, there are just as many potential downsides to this technology. One of the biggest concerns is the potential for misuse. For example, someone could use the software to create fake audio recordings of politicians or other public figures, which could be used to spread misinformation and propaganda. Alternatively,

In our case though, we’re just going to have a little bit of fun with it, so follow along as we show you how to quickly and easily clone any voice you want, and then generate content using text-to-speech software spoken using the newly cloned AI voice. So far after uploading a decent amount of sample content from my own voice I have found that it likes to favour American accents. Which isn’t all that surprising.

How to clone any voice using AI tools. How to clone someone’s voice using AI, then use text to speech to speak it.

Now you can upload up to 50 samples of a voice that you would like to clone. The longer and more samples you upload the better the cloned voice will be. So upload as much voice content as you can to get the best results. Don’t forget to give the voice clone a name.

This will open a new window where you can enter the text you want to speak using the cloned voice.

On this page, there is also a set of Voice settings options that you can use to adjust the voice. You can play around with this to get the most natural-sounding voice possible.

That’s all there is to it! Just keep in mind that you are responsible for everything you create using this tool and will be held legally accountable for any misuse of voices. It’s also important to remember voices also have copyright laws surrounding them so you may also end up with copyright infringements at some stage.

How To Generate Ai Images Using Adobe Firefly

What to know

Adobe Firefly offers a dedicated text-to-image generator that uses AI to create pictures based on your text input. 

The text-to-image generator is available for free when you use Adobe Firefly’s web app using your existing Adobe account. 

You can create any number of images using the Firefly text-to-image generator and change its look and composition using the customization options that are available for free. 

Images you create using the AI image generator carry a content credentials watermark to let others know that AI was used to create them.

Artificial intelligence has permeated various facets of our lives and has transformed the way we perceive and create art. With algorithms that can mimic human intelligence, AI can be used to recreate the visual wonders of our world and generate astonishingly realistic and original images. 

Adobe now offers its own AI-enabled creative tool called Adobe Firefly that lets users create lifelike photos and art with human imagination. In this post, we’ll explain everything you need to know about Adobe Firefly and how you can use it to generate AI images with ease. 

Related: AI Logo: How to Use Adobe Firefly to Create AI Logos With Text

What is Adobe Firefly?

Firefly is Adobe’s line of AI tools that are designed to generate images, create text and vector designs, and modify images by adding and replacing objects and backgrounds. To compete with the likes of OpenAI’s DALL-E, Microsoft Bing Image Creator, Midjourney, and Canva, Adobe offers the ability to create images and edit them for free for anyone with an Adobe account.

You can create images from scratch using your imagination and converting that into texts you can enter as prompts inside the Firefly web app. Adobe’s AI tool will then create a set of images based on your prompt and you can modify the generated images with various options like aspect ratio, content type, style, color and tone, lighting, and composition. The company says its Firefly image-synthesis model has been trained with millions of images in Adobe’s stock library with text descriptions.

How to access AI image creator on Adobe Firefly

Adobe offers its text-to-image generator as part of its Adobe Firefly web app which can be accessed for free by anyone who has an existing Adobe account. So, to start using Adobe’s AI image creator tool, you need to access the Adobe Firefly web app by going to chúng tôi on a web browser (works on Google Chrome, Safari, Microsoft Edge, and Firefox). 

You’ll now arrive at the Text to image page inside Adobe Firefly from where you can start using Adobe’s image generator to create AI-generated images with text prompts. 

Related: How to use AI Generative Fill on Adobe Firefly

How to use Adobe Firefly to create AI images 

To start using Adobe Firefly to create AI images, you can first go to Firefly’s Text to image page on a web browser. From here, you can generate images using text prompts and make modifications to images you generate using Adobe’s AI tool. 

Once you arrive at the Text to image page, you should see a bunch of AI creations by others who submitted their work to Adobe Firefly. You can hover over any of these images to look at the prompt used to create the selected image. This will help you get some inspiration before you start generating images using Adobe’s image creator yourself.

Firefly will now generate a set of 4 images based on your input. All of these images will be in a 1:1 (square) aspect ratio with the “Art” content type selected. You can modify these results with different settings and we’ll explain the available options in the next section. 

When you do that, Firefly will keep the selected image and create 3 more variations of it by replacing the rest of the images with new results. You must note that when you replace existing creations with new results, there’s no way of accessing previously generated content again. 

How to modify images generated on Adobe Firefly

In the above section, we showed you how you can create AI images with text prompts and how you can interact with the generated images. If you wish to modify your generated images to your liking, you can use the options we explain below to fine-tune your results the way you visualized them. 

Before we get started, you need to first generate images using Adobe Firefly by entering your prompt. 

Note: Modifying images with any of these settings will result in a new batch of images based on your prompt and settings. Since there’s no way to access the images you previously created, it’s a safe practice to download these images before refreshing the results. 

Choose an aspect ratio 

Here, you can select from any of these options – Square (1:1), Landscape (4:3), Portrait (3:4), Widescreen (16:9), or Vertical (9:16). 

Selecting any of the above options generates a fresh set of images with the chosen aspect ratio. 

At any time, you can switch to a different aspect ratio to get new images created inside Firefly’s image generator. 

Change content type

When you create an image inside Firefly, all of the generated images will be created with “Art” as the chosen Content type. This option refers to the category of images that are created on Firefly. Although Adobe automatically sets the content type, you can choose one that’s relevant to the image you want to create.

You can select any of these options under “Content type” when generating images on Firefly – Photo, Graphic, or Art. The first of these three will help you generate more realistic images that look natural while the other two will create images that are more aligned with artistic styles.

Apply a visual style 

Modify color, tone, lighting, and composition

Although you can create different kinds of images by selecting a unique combination of content type and style, Adobe lets you customize your creations a step further by letting you choose the color and tone, lighting, and composition for the picture you want to create. 

Color and tone

From here you can choose any of the following options – Black and white, Muted color, Warm tone, Cool tone, Vibrant color, or Pastel color. If you can’t decide which of these options would be right for you, you can generate images with any of these options to try them out first. 


From here, you can choose any of the following options – Backlighting, Dramatic lighting, Golden hour, Studio lighting, and Low lighting. If you can’t decide which of these options would be right for you, you can generate images with any of these options to try them out first.


From here, you can choose any of the following options – Blurry background, Close up, Wide angle, Narrow depth of field, Shot from below, Shot from above, or Macrophotography. If you can’t decide which of these options would be right for you, you can generate images with any of these options to try them out first.

You can generate new sets of images after applying either of these options or all of them at once. The latest bunch of images will include all the options you previously chose for your images. 

How to add or replace objects in an image created inside Adobe Firefly

Firefly lets you add and replace objects and backgrounds in an image you create inside the image generator using its Generative Fill tool. In case you’re not familiar, Generative Fill uses Adobe AI to Firefly AI to generate objects you visualize using text prompts, remove undesired elements from an existing image, replace backgrounds of subjects in an image, and extend an image on a larger canvas. 

The selected image will open inside the Generative Fill editor screen and from here, you can add or replace objects and backgrounds in the same way you would edit an image you uploaded onto the tool manually.

You can check out our dedicated guide on using Generative Fill to learn how to edit images. 

► How to use AI Generative Fill on Adobe Firefly

That’s all you need to know about generating AI images using Adobe Firefly. 


Github Integration With Selenium: Complete Tutorial

Git Hub is a Collaboration platform. It is built on top of git. It allows you to keep both local and remote copies of your project. A project which you can publish it among your team members as they can use it and update it from there itself.

Advantages of Using Git Hub For Selenium.

When multiple people work on the same project they can update project details and inform other team members simultaneously.

Jenkins can help us to regularly build the project from the remote repository this helps us to keep track of failed builds.

In this tutorial, you will learn

Before we start selenium and git hub integration, we need to install the following components.

Jenkins Installation.

Maven Installation.

Tomcat Installation.

You can find this installation steps in the following links:

Git Binaries Installation

Now let us start by installing “Git Binaries”.

Step 2) Download the latest stable release.

Step 4) Go to the download location or icon and run the installer.

Another window will pop up,

Step 8) In this step,

Select the Directory where you want to install “Git Binaries” and

Step 11) In this step,

Select Use Git from the Windows Command Prompt to run Git from the command line and

Step 12) In this step,

Select Use Open SSH It will help us to execute the command from the command line, and it will set the environmental path.

Step 13) In this step,

Select “Checkout windows-style, commit Unix-style line ending”.(how the git hub should treat line endings in text files).

Step 14) In this step,

Select Use MinTTY is the default terminal of MSys2 for Git Bash

Once git is installed successfully, you can access the git.

Open Command prompt and type “git” and hit “Enter” If you see below screen means it is installed successfully

Jenkins Git Plugin Install

Now let’s start with Jenkins Git Plugin Installation.

Step 1) Launch the Browser and navigate to your Jenkins.

Step 5) In this step,

Select GitHub plugin then

Now it will install the following plugins.

Once the Installation is finished. Restart your Tomcat server by calling the “shutdown.bat” file

After Restarting the tomcat and Jenkins we can see plugins are installed in the “Installed” TAB.

Setting Up our Eclipse with GitHub Plugin

Now let’s install GitHub Plugin for Eclipse.

Step 1) Launch Eclipse and then

Step 3) In this step,

Type the name “EGIT” and

Then restart the eclipse.

Building a repository on Git

Step 3) In this step,

Enter the name of the repository and

Testing Example Of Using Selenium with Git Hub.

Step 1) Once we are done with the new repository, Launch Eclipse

Step 2) In this step,

Select Maven Project and browse the location.

Step 3) In this step,

Select project name and location then

Step 5) In this step,

Enter Group Id and

Artifact Id and

Step 6)

Now let’s create a sample script

Let’s push the code/local repository to Git Hub.

Step 7) In this step,

Open eclipse and then navigate to the project

Select share project

In this step,

Select the local repository and

Now it’s time to push our code to Git Hub Repository

Step 9) In this step,

Step 10) In this step,

Enter a commit message and

Select the files which we want to send to Git Hub repository

Once you are done with it, you could see the icons in the project is being changed it says that we have successfully pushed and committed our code to Git Hub

We can verify in the Git hub in the repository that our project is successfully pushed into repository

Now it’s time for executing our project from Git Hub in Jenkins

Step 11) Launch browser and open your Jenkins.

Step 13) In this step,

Enter Item name

Select Maven Project

Step 14) In this step, we will configure Git Hub in Jenkins

Enter the Repository URI

If you have multiple repositories in Git Hub, you need to add name Refspec field of the repository.

We can get the URI in Git Hub

Step 15) In this step,

Add the chúng tôi file location in the textbox and

Specify the goals and options for Maven then

Select option on how to run the test

Finally, we can verify that our build is successfully completed/executed.

Top 12 Online Survey Best Practices In 2023

By some estimates,  companies can only hear from 4% of their customers, making it challenging to answer and meet their needs. Thus, consistently conducting online surveys can help companies hear more from their customers and implement strategies that correspond to their needs and expectations.

Here, we provide the top 12 online survey best practices for attracting respondents and designing a survey. 

Top 12 online survey best practices Survey respondents 1- Find a representative sample

A representative sample represents the population with high accuracy. So the results are representative of the general population. By the same token, if you ask the right questions from the wrong people, then misleading results are unavoidable. 

Be precise about who your target population is, and focus on how to find the most representative sample of that target population. If you have a specific target audience, you can create focus groups for data collection.

You can also use platforms with diverse participant pools to answer the survey questions to increase the representativeness of the survey sample.

For those interested, here is our benchmarking study on the top survey participant recruitment services.

2- Prescreen the respondents

By pre-screening the participants, companies can avoid taking the same survey twice from the same IP address or those who’ve taken the web survey from suspicious IP addresses. This can help increase the validity of the study.

3- Avoid sensitive topics

Source: Twitter

Figure 1. An example of a survey question that targets a specific race.

A study found that the most sensitive questions are about one’s financial state and contact information, such as phone numbers.

4- Ensure reliability and confidentiality

One factor that affects how likely a participant is to respond to a survey is the reliability of the surveying process and the sense of privacy. If the respondents feel either is violated, they may prefer not to answer. Thus, ensuring confidentiality (i.e., assigning random numbers to the respondents and not identifying their profiles with their answers) encourages higher response rates. 

Also, if anonymity is not ensured in the survey, let the participants know who can see their answers.

5- Determine a mode of distribution

There are multiple modes to conduct survey research and reach a target audience, such as through email, telephone surveys, face-to-face interviews, paper surveys, or online/web surveys. Marketers may want to conduct online surveys as they are cheap, easy to prepare, and useful. However, publishing the survey online may result in failing to reach people who prefer not to give information about themselves online. Thus, before distributing the survey online, ensure it is the right channel for your target population.

Survey design 6- Choose the right data-collecting method

There are two types of data: quantitative and qualitative. The former is measurable, and the latter isn’t. So, while quantitative data represents the numerical correspondence, qualitative data explains why and how a phenomenon occurs. Determine the right method for the right questions. If you are interested in why a specific marketing campaign did not get high engagement, you strive for qualitative data more. If you want to know when people check their e-mails, then you should be gathering quantitative data.

7- Have a clear question format

 It is important which wording marketers choose while asking the questions. Here are some examples of bad survey questions:

Source: Twitter

Figure 2. An example of a bad survey question

Source: Twitter

Figure 3. Another example of a bad survey question with unusual faces embedded

Source: Twitter

Figure 4. Another example of a bad survey question that response options are incompatible

Asking open-ended questions with binary answer choices or inconsistent language format (see Figure 4) confuses the respondents and can reflect poorly on the brand.  

8- Ask for a single information at a time

While preparing a survey, do not ask for detailed information, or a long answer, in a single question. Rather, split them, and provide different response options, such as multiple choice answers or the Likert scale, to ease responding to the survey. 

This helps respondents not to feel overwhelmed and focus on one answer at a time. Providing questions in a logical order can also keep the respondents engaged and help them easily follow the flow.

9- Incentivize for survey participation

Source: getsitecontrol

Figure 5. Example of an incentive offered by Pizza Pizza to the customers filling out the survey

Studies show that 60% respond to questions randomly without paying attention when not incentivized

10- Add “attention check” questions

Source: CloudResearch

Figure 6. An example of an attentional check question to embed in surveys

Companies can embed “attention check questions” into their surveys to detect those who respond without paying attention and remove them from further analyses.

11- Analyze the survey results

Analyzing the responses requires ease of mind as it is a demanding process, given the number of questions and responses, different modes of distribution, etc. As the quantitative data is more structured (i.e., it doesn’t require a coding scheme or a dictionary), it is better to start the analysis with quantitative data.

For the qualitative data, you can use Natural Language Processing (NLP) techniques to easily label or categorize the answers. Learn more about NLP data labeling through our comprehensive article.

You can also check our comprehensive guide on survey analytics.

12- Create visually appealing survey reports

Turning all the insights gathered from the survey into visually appealing reports help decision-makers understand the results faster and more easily. Thus, they can spend less time making inferences from the survey and start turning them into actions.

Further Reading

For those interested, here is our data-driven list of survey participant recruitment services.

Don’t hesitate to reach us for your further questions about conducting online surveys:

Begüm Yılmaz

Begüm is an Industry Analyst at AIMultiple. She holds a bachelor’s degree from Bogazici University and specializes in sentiment analysis, survey research, and content writing services.





The New World Of Ai

Any queries about slow house WiFi, dead zones, or other service disruptions that drive you mad? NetSpot enables you to see and troubleshoot your wireless system for you the very best relationship possible.

The simple to follow warmth map will show you which regions get the most powerful WiFi sign — and that get the weakest.

There are two varieties of learning, one general and the other particular to the child based upon the ability and specialized field of interest, necessitating even more critical focus.

Bloom’s Taxonomy has to be implemented for instruction; territory evaluation draws our focus on”educational goals”. This points to a lively notion of a framework for pupils to develop their cognitive and comprehensive skills

AI analytics to assist

Employing AI systems, applications, and assistance, students may learn from any place in the world at any given moment. E

ducational applications powered by AI happen to be helping pupils to become more empowered than previously.

AI-driven analytics in schooling can help identify critical tendencies and delineate key markers to assist teachers design the very best classroom experience and induce digital transformation, thus preparing a counseling course to emerge from general to particular.

Information analytics educated by adaptative AI solutions helps identify critical areas for teacher and student performance.

Individualized learning

From kindergarten to grad school, a few of the vital ways AI will influence schooling is via the application of higher levels of individualized learning.

Also read: 10 Top Android Apps For Personal Finances

Adaptive learning

A number of that is already occurring through growing quantities of adaptive learning applications, games, and applications.

Systems now react to the requirements of their pupil, placing greater emphasis on particular topics, replicating things that students have not mastered, and usually helping pupils to work in their own pace, whatever that might be.

AI flexible programs are sharply expanding and improving. Voice controlled AI apparatus, in our houses today makes recommendations based on queries immediately adapts to our wants and controls, and almost all research related tastes.

A custom-tailored education might be a teacher and machine-assisted remedy to assisting pupils at various levels work together in one classroom, with instructors easing the learning and offering assistance and support when required.

Teachers are mentors

Teachers aren’t just there to encourage and gauge the requirements of pupils concerning their skill level and fundamental knowledge–educators create scenarios for pupils to work together and socialize. Finally teachers are mentors. They’re supporters. They’re our inspirations.

Inside and out the classroom, they’re there for us. Folks will need to feel a feeling of belonging and also have meaningful relations, all which a system can’t supply.

These apps can teach students fundamentals, but so far are not perfect for helping pupils learn high-order thinking and imagination, something that real world teachers continue to be needed to ease.

Flipped classroom model

While teachers are made to supply the vast majority of learning at a whole-class environment, whereas AI can provide tailored learning, just to carefully assess every answer to calibrate when to stay with the present subject and when to move on another.

In many ways, technology is currently forcing a few of those modifications in the classroom, particularly in schools who are online or adopt the flipped classroom version.

Also read: Top 10 Job Search Websites of 2023

AI-guided classroom

A teacher can also be looking after the pupils in the course, spotting those undergoing problems and encouraging them as essential.

In this way it’s among the very human tasks we’ve got. Reading subtle social cues that pupils need help isn’t something robots do nicely.

The fact isthe more connected men and women are to technologies, the more disconnected they’re physically to different men and women.

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