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Promptworks LLC was founded in 2013. The company's line of business includes providing computer programming services.

PromptWorks

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Ravago Americas LLC announced yesterday the acquisition of Polymer Technology & Services LLC (PTS; Murfreesboro, TN). PTS will become part of Ravago's Amco Polymers business, a North American distributor of commodity, engineering and specialty polymers.

Ravago Americas acquires Polymer Technology & Services

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Department for Science, Innovation and Technology

What is Business Information Technology? Business information technology helps organizations solve problems and enhance processes to improve efficiency, serve customers and achieve business goals. Sometimes referred to as business IT or BIT, business ...

Business Information Technology Jobs & Careers

This year’s event received 1,456 entries, up 30% from the number in the previous edition, and including 78 works submitted by foreigners and Overseas Vietnamese. They covered the country’s ...

Best works for external information service honoured

Heartland Value Fund highlighted stocks like Stewart Information Services Corporation (NYSE:STC) in the third quarter 2023 investor letter. Headquartered in Houston, Texas, Stewart Information ...

Should You Hold Stewart Information Services (STC)?

UPS Healthcare has expanded its logistics service for health laboratory customers. Credit: sladkozaponi via www.shutterstock.com UPS Healthcare has announced the launch of UPS Pickup Point locations, a new reverse logistics service for health laboratory ...

UPS Healthcare debuts healthcare logistics service in Europe

As the co-founder of Puzzle Partner, Ivana is an advocate for innovation with marketing expertise in technology ... essential information, travel brands further enrich the self-service experience ...

The Cost Of Convenience: Is Self-Service Technology Hindering Meaningful Connections And Social Skills?

The Crown Commercial Service (CCS) has recently granted a comprehensive agreement contract for technology-related products and services, which includes a specialised category for acquiring and overseeing IT resources with a greater emphasis on sustainability.

Launch of new sustainable technology products and services agreement

WASHINGTON, Oct 11 (Reuters) - Internet companies Google, Amazon and Cloudflare say they have weathered the internet's largest-known denial of service attack and are sounding the alarm over a new ...

Internet companies report biggest-ever denial of service operation

Fidelity National Information Services (FIS) ended the recent trading session at $53.12, demonstrating a +0.04% swing from the preceding day's closing price. The stock's performance was behind the ...

Fidelity National Information Services (FIS) Rises But Trails Market: What Investors Should Know

AI is revolutionising software development, making it more efficient, productive, and innovative. In this article, we explore the impact of AI in software development, delving into the insights gained from our investigation of GitHub Copilot performed by the ELEKS R&D team. As the world of software development continues to evolve, the role of has become increasingly important. With benefits like the ability to reduce the time and effort required for coding and more, it's no wonder AI in software development is a hot topic nowadays. AI 92% of developers based in the U.S. are already using AI coding tools both at work and outside of it. - GitHub 70% of developers believe that AI coding tools will give them a distinct edge in their professional endeavours, including improved code quality, reduced completion time, and enhanced incident resolution capabilities. - GitHub 4 out of 5 developers expect AI coding tools to make their team more collaborative. - GitHub Although AI hasn't reached a stage where it can independently create, test, and launch software products without human input, compared to the past, it has greatly speeded up the overall turnaround time. Many AI-driven tools are available that can assist in developing custom applications by generating and autocompleting code, as well as detecting and fixing bugs. The ELEKS Research & Development team thoroughly assessed one such tool - GitHub Copilot - to evaluate its influence on developers' tasks, completion duration, and quality standards for recommendations provided. Let's take a closer look. What is GitHub Copilot? GitHub Copilot is a tool for code autocompletion and generation. It is built based on OpenAI Codex and trained on public GitHub repositories. As a result, it suggests code for any programming language. However, the quality of proposals depends on the number of public repositories that are based on a specific programming language and framework. GitHub Copilot works with program code using Integrated Development Environment (IDE) plugins. Only the following IDEs are currently supported: Visual Studio Code Visual Studio Neovim all IDEs from JetBrains Overview of ELEKS' GitHub Copilot investigation This investigation aimed to explore the impact of using Copilot on both development speed and quality. To conduct this study, a small pet project was initiated as a testing ground for various assumptions. With a team comprising four skilled middle developers armed with expertise in React, Redux, TypeScript, Jest, Vite, PHP, Symfony, and Codeception, we started the investigation and defined our goals and approaches as follows. Goal Approach Evaluate the dependency between the developer’s competency and performance when using Copilot We selected the Symfony framework for back-end development. The back-end team had no substantial experience with this framework. To assess the quality of the back-end solution, a Symfony expert was involved in a code review. The expert also developed a basic project structure that went beyond the typical one and was used in a large commercial project. Investigate the impact on typical developer tasks Before the project started, we created a WBS that covered the typical work of a developer on a commercial project. Also, we conducted a task estimation session. Investigate the impact on programming languages and frameworks by popularity We developed a web application with test coverage. Evaluate the impact on task completion time We made a preliminary estimation of individual tasks on the project. Enhance the research effectiveness We conducted knowledge-sharing sessions within the team during daily syncs. Explore the quality of suggestions We tested how Copilot deals with a non-classical and more complex project structure. Key findings from ELEKS' GitHub Copilot investigation ELEKS' investigation of GitHub Copilot yielded several key findings that shed light on the tool's capabilities and benefits. Here is a more detailed description: Please note that the investigation outcomes are based on the team's subjective feedback, observations of their work, and code reviews of their solutions. The GitHub Copilot has two modes of operation: Code auto-completion mode – almost always positively affects performance. Code generation mode based on a comment with a prompt – works well only for typical code structures. It can be counterproductive when generating business logic or non-typical solutions because analysing the proposed code variants takes a lot of time. The quality of GitHub Copilot code suggestions depends on the following: Popularity of the selected tech stack in public repositories. The more popular the technology or language, the higher the quality of GitHub Copilot suggestions. Code structure and application architecture. The more typical your solution is, the more effective suggestions GitHub Copilot provides. This is especially noticeable at the start of the project development. Other advantages of GitHub Copilot: Over time, the quality of code suggestions increases. GitHub Copilot learns and adapts to the project structure, code style, and typical approaches to technical solutions on the project. Positively influences developer job satisfaction. GitHub Copilot takes on a portion of routine, typical, and boring tasks. The ratio between developing interesting and routine tasks changes, which increases developers’ comfort. General team findings: The tool showed no impact on the code quality—neither positive nor negative. We think that for now, it cannot replace the code review process, manual code testing done by the developer, running autotests, security testing, and so on. The effectiveness depends on the developer's competence in the given tech stack. The better the developer's skills, the more effective this tool proves to be. The value of GitHub Copilot for learning new technologies is very doubtful. The team formed an impression that code suggestions become better if all code-related files are open in the IDE. Like any other tool, GitHub Copilot requires certain skills. The more the team practiced, the more positive feedback was received. The feedback regarding the increase in performance varies depending on the tech stack, the specialist’s competency level, and subjective reasons. 5–10% the average increase in productivity of team members. - ELEKS R&D team On a side note, during the project, the team encountered several bugs in GitHub Copilot. For example, Copilot proposed code suggestions based on the code from another project open in another IDE window. It offered syntactically incorrect code. Copilot conflicts with the features of some plugins (built-in or added by a third party) that also have a code auto-completion functionality. Conclusions GitHub Copilot is a powerful tool that positively impacts development speed and developer job satisfaction. Like any other development tool, it requires time to master it. At this point, an individual monthly license costs only $10, while the business plan is priced at $19 per month. GitHub Copilot will undoubtedly be financially beneficial for use on the projects, especially for the specialists of middle competency level and higher. The team predicts that with the growth of experience using GitHub Copilot, the development speed can increase by 5–25%, depending on the technology's popularity and the developer's competency level. GitHub Copilot is guaranteed not to slow down development because developers will gradually gain the expertise and understanding of when it is beneficial to use the tool and when not. In conclusion, the impact of AI in software development, exemplified by tools like GitHub Copilot, is undeniable. Overall, such tools as GitHub Copilot cannot replace a developer but serve as valuable tools to enhance developers' comfort and productivity, contributing to the evolution of software development in an increasingly AI-driven world. Unlock the path to an efficient software development process and successful outcomes, . contact ELEKS experts Also published . here

AI in Software Development: Exploring GitHub Copilot with Insights from the ELEKS Team

সফটওয়্যার ডেভেলপমেন্টে AI: ELEKS R&D টিমের অন্তর্দৃষ্টি সহ GitHub কপাইলট অন্বেষণ করা

KI in der Softwareentwicklung: Erkunden Sie GitHub Copilot mit Erkenntnissen des ELEKS-Forschungs- und Entwicklungsteams

IA en el desarrollo de software: exploración de GitHub Copilot con información del equipo de I+D de ELEKS

L'IA dans le développement de logiciels : exploration de GitHub Copilot avec les informations de l'équipe R&D d'ELEKS

सॉफ्टवेयर विकास में एआई: ईएलईकेएस आर एंड डी टीम की अंतर्दृष्टि के साथ गिटहब कोपायलट की खोज

ソフトウェア開発における AI: ELEKS R&D チームからの洞察で GitHub Copilot を探索する

소프트웨어 개발의 AI: ELEKS R&D 팀의 통찰력으로 GitHub Copilot 살펴보기

IA no desenvolvimento de software: explorando o GitHub Copilot com insights da equipe de P&D da ELEKS

ИИ в разработке программного обеспечения: изучение GitHub Copilot с помощью идей команды исследований и разработок ELEKS

Yazılım Geliştirmede Yapay Zeka: ELEKS Ar-Ge Ekibinin İçgörüleriyle GitHub Copilot'u Keşfetmek

AI trong phát triển phần mềm: Khám phá GitHub Copilot với những hiểu biết sâu sắc từ Nhóm R&D ELEKS

软件开发中的人工智能：借助 ELEKS 研发团队的见解探索 GitHub Copilot

ChatGPT is a large language model developed by OpenAI that allows the automatic generation of text based on initial input. In this article, we'll explore how to use ChatGPT to create high-quality content quickly and efficiently. Introduction to ChatGPT ChatGPT is a Transformer-like language model pre-trained on a large amount of text on the internet. With this training, the model can generate coherent and plausible text in response to initial input. How to use ChatGPT To use ChatGPT, you need to log in generation provided by OpenAI. Once logged in (either by email with various social accounts such as Google), it will be possible to enter an initial input and automatically generate the desired text. at the interface It is important to note that ChatGPT works best with inputs of adequate length and that the text generated can have variable quality depending on the input provided. Examples of using ChatGPT Such a model allows it to be integrated into different fields and areas as with the right input information, it is possible to expand the conversation with this "AI", and below are some interesting areas: Generation of product descriptions for e-commerce, by entering the basic information of the product, we can obtain a better and more in-depth description of the same Creation of blog articles, a function appreciated by many and which allows you to have a basic structure of the article, which we will then add, modify and edit the same to make it better Generation of automatic responses for chatbots, very useful for obtaining a wide range of responses to be pasted into the chatbots used on the site to help the visitor with doubts and frequently asked questions Advertising copywriting is also excellent for marketing as it can take advantage of its skills to help us create advertising and marketing in seconds and with different nuances for every type of need Limitations of ChatGPT Despite its great potential, ChatGPT has some limitations. In particular, the model cannot generate original content and cannot wholly replace human creativity. Also, the template may cause implausible or inappropriate text in some cases. The secret plugin for Chat GPT Now that we have a first smattering of what ChatGPT is, the time has come to talk about a recent plugin for this chat that allows you to manage and already have various interesting models and templates just a click away, allowing us to create content and more at depending on the model chosen. This plugin, which is a browser extension, was made by Christoph C. Cemper, who started working in the internet marketing industry as SEO and Link Builder in 2003. He started developing SEO software for internal use in 2006. In 2009, Christoph launched his popular SEO tools like LinkResearchTools in the SaaS model. When the famous Google Penguin update changed the rules of SEO in 2012, Christoph launched Link Detox, a software to find risky links in a website's backlink profile. Christoph has been speaking and writing about link risk management since early 2011 and introduced the technology and formal process for ongoing link checks in 2012 as well as the proactive removal and "disavow" of bad links, as well as URL inspector. But only recently, to be exact on January 8, 2023, released the browser extension (which indicates AI Prompt Manager), which integrates within ChatGPT, showing us the relative interface to quickly access the various prompts already created, both by the AIPRM team and by other users, as also other users can create their prompts and publish them in the interface: AIPRM How AIPRM works After installing the plugin in the browser (a simple procedure that can be done in 1 click), starting from the top, we see two menus, one for the Public Prompts and the other for those created by us, Own Prompts: Below we find other drop-down submenus from where we can choose the type of topic "Topic" and also the activity "Activity", and among other things, we can also sort them based on popularity, as the various prompts can be voted by users who judge whether or not the proposed prompt works: Generate the prompt Once we have chosen the model for the prompt, we just have to enter the keyword or text we want to process; in this case, we have used the "Keyword Strategy" model by entering the NFT keyword: After a few seconds, a splendid table is generated where the data is all organized: Conclusions ChatGPT is an important tool for automatic content generation and can be particularly useful for speeding up text creation. However, it is important to use the model with knowledge of the facts and to keep in mind its limitations. The same rule also applies to AIPRM as the prompts we find are not always useful or allow us to obtain an acceptable result, so we need to test them to see if they can be of help and support to what has already been done and these tools are not used as a complete replacement of professional figures that allow the creation of contents and strategies optimally and professionally. Finally, we leave you with an in-depth video where he illustrates the plugin and how to use it: https://www.youtube.com/watch?v=NrfJCsHUb60&embedable=true

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