The AI in Software Development market is experiencing robust growth, driven by the increasing demand for faster, more efficient, and higher-quality software development processes. The market, estimated at $15 billion in 2025, is projected to experience a Compound Annual Growth Rate (CAGR) of 25% from 2025 to 2033, reaching an estimated market value of $75 billion by 2033. This expansion is fueled by several key factors. Firstly, the adoption of AI-powered tools for tasks such as code generation, testing, and debugging is accelerating, leading to significant improvements in developer productivity and reducing development time and costs. Secondly, the rise of Agile and DevOps methodologies emphasizes continuous integration and delivery, creating a need for automated and intelligent solutions that AI can readily provide. Furthermore, the increasing complexity of software applications demands more sophisticated development tools, further boosting the adoption of AI solutions. The market is segmented by application (expert systems, project management, others) and by type (Natural Language Processing, Neural Networks, Fuzzy Logic, and others). North America currently holds a dominant market share due to the high concentration of technology companies and early adoption of AI technologies, but the Asia-Pacific region is anticipated to witness the fastest growth due to increasing digitalization and government support for AI development. Major restraints include the high cost of implementing AI-powered development tools, the need for skilled professionals to manage and maintain these systems, and concerns surrounding data security and privacy. Despite these challenges, the long-term outlook for the AI in Software Development market remains positive. The continuous advancements in AI technology, coupled with the growing demand for sophisticated software applications, are expected to drive further market expansion. Leading players such as Salesforce, IBM, Microsoft, and Google are heavily investing in research and development, continuously innovating and expanding their AI-powered software development offerings. This competitive landscape drives innovation, ensuring the delivery of advanced and cost-effective solutions to meet the ever-evolving needs of the software development industry.

The global AI SDK market is estimated to be valued at USD XX million in 2025 and is projected to register a CAGR of XX% over the forecast period (2025-2033). The growth of the AI SDK market is attributed to the increasing adoption of AI in various industries such as healthcare, manufacturing, and retail. AI SDKs provide developers with a set of tools and libraries that simplify the development of AI-powered applications. The market for AI SDKs is segmented based on type (independent SDK, framework dependent SDK), application (deep learning and machine learning, natural language processing, computer vision, other), and region (North America, South America, Europe, Middle East & Africa, Asia Pacific). North America is expected to dominate the market over the forecast period, followed by Europe and Asia Pacific. Key players in the AI SDK market include Huawei, Microsoft, Baidu, Nvidia, Rockchip, Tencent, Google, Advantech, Siemens, IBM, OpenAI, Helm und Nagel GmbH, Vercel, and SiMa Technologies.

Software developers using an AI co-pilot used nearly 56% less time than those without a co-pilot in 2023. This is a staggering difference in time, meaning that a software developer with a co-pilot could do the work of two developers without AI assistance.

Software Development AI Market Outlook

The global Software Development AI market size was valued at approximately USD 5.7 billion in 2023 and is projected to reach around USD 34.8 billion by 2032, growing at a remarkable compound annual growth rate (CAGR) of 22.3%. The market's expansion is driven by the increasing integration of artificial intelligence (AI) technologies in software development processes, which significantly enhances productivity, reduces errors, and accelerates project timelines. This trend is further amplified by the growing demand for sophisticated software solutions across various industries, which necessitates more efficient and intelligent development tools.

One of the main growth factors for the Software Development AI market is the increasing need for automation in software development. Traditional software development methodologies often involve repetitive and time-consuming tasks, such as code generation, testing, and debugging. AI-powered tools can automate these tasks, thereby reducing the time and effort required, and enabling developers to focus on more complex and creative aspects of software development. This not only speeds up the development process but also improves the overall quality of the software, as AI can identify and rectify errors more efficiently than human developers.

Another significant growth factor is the rising complexity of software applications and the need for quick adaptation to changing market demands. As businesses increasingly rely on software to enhance their operations and offer new services, the complexity of these applications has grown exponentially. AI in software development helps manage this complexity by providing advanced analytics and predictive modeling, which assist developers in making informed decisions and anticipating potential issues. This proactive approach is crucial in ensuring that software applications remain robust, scalable, and aligned with business objectives, even as they evolve.

The surge in investment in AI and machine learning technologies is also propelling the growth of the Software Development AI market. Major tech companies and startups alike are investing heavily in AI research and development, leading to continuous advancements in this field. These investments are resulting in the creation of more sophisticated AI tools and platforms designed specifically for software development. Consequently, companies are increasingly adopting these tools to stay competitive and meet the growing demand for innovative software solutions. This widespread adoption is expected to drive substantial growth in the market over the forecast period.

Regionally, North America is expected to dominate the Software Development AI market, owing to its early adoption of advanced technologies and the presence of major tech companies and AI startups. The region's robust infrastructure and supportive regulatory environment further facilitate the growth of AI in software development. Europe and Asia Pacific are also anticipated to experience significant growth, driven by increasing investments in AI and technological advancements. In particular, countries like China and India are emerging as key players, leveraging their strong IT sectors and government initiatives to boost AI adoption in software development.

Component Analysis

The Software Development AI market can be segmented by component into software, hardware, and services. The software segment is expected to hold the largest market share, largely due to the increasing demand for AI-powered development tools and platforms. These software solutions encompass a wide range of applications, from automated code generation and testing to project management and bug detection. As businesses strive to enhance efficiency and reduce development time, the adoption of these AI-driven software solutions is set to rise significantly. Moreover, continuous advancements in AI algorithms and machine learning models are further driving the growth of this segment.

Hardware components, while not as prominent as software, play a crucial role in supporting AI applications in software development. AI algorithms require substantial computational power, which is provided by specialized hardware such as Graphics Processing Units (GPUs) and Tensor Processing Units (TPUs). These hardware components enable faster processing and execution of AI models, thereby enhancing the performance of AI-driven software development tools. With the increasing complexity of AI models and the growing need for real-time processing, the demand for advanced hardware solutions is expected

Software developments is advancing the technological world today. This changes have far more reaching implications in I.T industries such as Big data, Artificial intelligence and Agile Software development methodologies. Competition in the software development ecosystem has made developers to build software that are quick and reliable and often referred to as Agile development. Agile transformation is real and requires rethinking the business management, recruitment process and data strategy in a bid to stimulate disruptive solutions from within in-house development and deployment. AI product development would require rapid transformational changes within any organization. This can be accomplished by establishing specific operating models that permit development teams with the freedom of technology choice. This publication highlights some operating models that can be adopted to improve the success of AI products using Agile software development methodologies.

Supplementary data to "The State of the ML-universe: 10 Years of Artificial Intelligence & Machine Learning Software Development on GitHub" accepted for publication at MSR 2020.

The data included in this package were used to conduct analyses to characterize the AI & ML software development community hosted on GitHub. Please read the paper for a full understanding of what data was collected and how it was used.

Questions and comments can be directed to Danielle Gonzalez dng2551@rit.edu

Artificial Intelligence (AI) Software Market was valued at USD 515.31 Billion in 2024 and is projected to reach USD 2740.46 Billion by 2032, growing at a CAGR of 20.4% during the forecast period 2026-2032.

Artificial Intelligence (AI) Software Market Drivers

Increasing Data Generation: The exponential growth of data across industries provides rich material for AI algorithms to learn from and make intelligent decisions.

Advancements in AI Technology: Continuous innovations in AI, such as machine learning, deep learning, and natural language processing, are expanding the capabilities and applications of AI software.

Growing Demand for Automation: Businesses are seeking AI-powered solutions to automate routine tasks, improve efficiency, and reduce operational costs.

Enhanced Decision-Making: AI software enables data-driven insights and predictive analytics, empowering organizations to make informed decisions.

Personalization and Customer Experience: AI-driven personalization tools tailor products and services to individual preferences, leading to improved customer satisfaction and loyalty.

The AI Programmer market is experiencing robust growth, driven by the increasing demand for automation in software development and the rising adoption of artificial intelligence across diverse sectors. The market, estimated at $5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 25% from 2025 to 2033, reaching an estimated $25 billion by 2033. Key drivers include the escalating complexity of software applications, the shortage of skilled programmers, and the need for faster and more efficient software development cycles. The Information Technology sector currently dominates the application segment, followed by Financial Services and Medical Insurance, each leveraging AI programmers for enhanced operational efficiency and data analysis. Large enterprises constitute the majority of the market share due to their greater investment capacity in advanced technologies and extensive data sets requiring sophisticated management. However, the SME segment is demonstrating significant growth potential as AI programming tools become more accessible and affordable. Geographic growth is robust across North America and Europe, driven by early adoption and advanced technological infrastructure, while Asia Pacific, particularly China and India, show strong emerging market potential fuelled by rapidly expanding tech industries. Restraints to market growth include the high initial investment costs associated with implementing AI programming solutions and the need for specialized expertise in both AI and software development. Further market expansion will hinge on technological advancements in areas such as natural language processing (NLP) and machine learning (ML), which will continue to enhance the capabilities of AI programmers. The market's growth trajectory is expected to be shaped by the integration of AI programmers into cloud-based platforms, offering increased scalability and accessibility. Increased collaboration between AI developers, software engineers, and businesses will also contribute to the expansion of the market. The continued focus on improving AI model explainability and addressing ethical concerns surrounding AI will play a crucial role in shaping market adoption across various sectors. The increasing availability of open-source AI programming tools and platforms will also fuel growth in the SME segment and in developing economies.

In 2024, ChatGPT Assistants API unsurprisingly emerged as the most proficient skill among artificial intelligence (AI) engineers worldwide, reporting an intermediate-level average score of 61 in DevSkiller assessments. This suggests that while AI development is advancing, the overall proficiency of even the top skills might be influenced by the relatively recent surge of interest in AI development. Azure Databricks and AI-code assistant Tabnine both scored 60, respectively. Notably, ethical AI usage scored around 52, reflecting a growing awareness and emphasis on responsible AI practices. Arrival of AI disrupts IT skills The advent of AI recently has led companies to rapidly adopt and integrate AI technologies into their business operations. Therefore, it comes as no surprise that AI/machine learning and data analytics were the IT skills expected to see the highest increase in demand globally in 2023, driven by the growing adoption of generative artificial intelligence. AI penetrates all IT tasks Using artificial intelligence as a product is not the only application in the tech world. In fact, it has become an integral tool for developers in their daily work. As of 2024, a significant majority of developers, approximately 82 percent, reported actively using AI tools to assist in writing code. This trend extends beyond just coding, with developers leveraging AI technology for searching answers to their queries, debugging, and documenting code among a wide range of applications.

The global Artificial Intelligence (AI) in Software Development market is projected to grow from USD 14670 million in 2025 to USD 29430 million by 2033, at a Compound Annual Growth Rate (CAGR) of 5.9% during the forecast period 2025-2033. The growth of the market is attributed to the increasing adoption of AI technologies in software development, rising demand for automation and efficiency, and growing need for personalized and intelligent software solutions. The major market drivers include the increasing adoption of AI in software development, rising demand for automation and efficiency, and growing need for personalized and intelligent software solutions. The major market trends include the increasing use of Natural Language Processing (NLP) and Machine Learning (ML) techniques, the development of new AI-powered tools and platforms, and the growing adoption of AI in cloud-based software development. The major market restraints include the high cost of AI development, the lack of skilled AI professionals, and the ethical concerns associated with AI. The major market segments include the application segment, the type segment, the company segment, and the regional segment.

The global internet software development services market is experiencing robust growth, driven by the increasing digital transformation initiatives across diverse industries and the escalating demand for customized software solutions. The market, estimated at $500 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching approximately $1.2 trillion by 2033. This expansion is fueled by several key factors, including the rising adoption of cloud-based solutions, the proliferation of mobile devices and the Internet of Things (IoT), and the growing need for enhanced user experiences. Businesses of all sizes, from individual entrepreneurs to large enterprises, are increasingly reliant on sophisticated software to streamline operations, improve efficiency, and gain a competitive edge. The market's segmentation reflects this varied demand, with cloud-based services gaining significant traction due to their scalability, cost-effectiveness, and accessibility. Geographic distribution shows strong growth across North America and Asia-Pacific, driven by robust technological advancements and substantial investments in digital infrastructure. However, the market also faces certain restraints, including cybersecurity concerns, talent shortages in the software development field, and the complexities associated with integrating legacy systems with modern software solutions. The competitive landscape is highly dynamic, with leading players like Accenture, Infosys, Tata Consultancy Services, IBM, and others vying for market share. These companies are investing heavily in research and development, strategic partnerships, and acquisitions to expand their service offerings and cater to the evolving needs of their clients. The ongoing technological advancements, such as the rise of Artificial Intelligence (AI) and Machine Learning (ML), are further shaping the market, creating new opportunities and driving innovation in software development methodologies and service delivery models. The transition to service-based models, such as SaaS (Software as a Service), is expected to accelerate, leading to further market consolidation and the emergence of new players focusing on niche software solutions. The forecast period promises continued growth, driven by sustained digital transformation efforts and the increasing reliance on internet-based technologies across various sectors.

The Artificial Intelligence (AI) coding tools market is experiencing rapid growth, driven by the increasing demand for efficient and automated software development processes. The market, estimated at $2 billion in 2025, is projected to expand significantly over the next decade, with a Compound Annual Growth Rate (CAGR) of approximately 25% from 2025 to 2033. This robust growth is fueled by several key factors. Firstly, the rising complexity of software development necessitates tools that can automate repetitive tasks, improve code quality, and accelerate development cycles. Secondly, the growing adoption of AI and machine learning across various industries is increasing the demand for developers skilled in these technologies, creating a need for tools that enhance developer productivity and efficiency. Furthermore, the emergence of advanced AI models capable of understanding and generating code is revolutionizing the way software is built, enabling faster development and reduced error rates. Key segments driving this growth include code testing tools, AI developer tools, and code migration tools, with software development and testing applications exhibiting the highest demand. Companies like GitHub Copilot, Sourcegraph, and OpenAI are leading the innovation in this space, shaping the future of software engineering. Despite the significant opportunities, the market faces certain challenges. High initial investment costs for implementing AI coding tools can deter smaller businesses. Furthermore, concerns about data security and intellectual property protection associated with using AI-powered tools need to be addressed to foster wider adoption. The market's growth trajectory, however, remains overwhelmingly positive, driven by continuous technological advancements, increasing developer adoption, and the expanding application of AI across diverse industries. The integration of AI within existing development workflows and the emergence of sophisticated AI-powered code completion and generation capabilities are expected to further fuel this expansion in the coming years. The geographical distribution of the market is also expected to see a shift, with regions like Asia-Pacific experiencing faster growth compared to more mature markets in North America and Europe.

In 2024, distrust of the output of artificial intelligence (AI) code assistants or generative AI (GenAI) tools was the greatest challenge to working with AI in the development work flow, according to very two in three developers worldwide. Moreover, nearly 30 percent of developers reported that lack of proper training and education on new tools was a challenge to working with AI. Interestingly, around 12 percent of developers reported that lack of executive buy-in was one of their challenges to working with AI.

The AI SDK market is experiencing robust growth, driven by the increasing adoption of artificial intelligence across diverse sectors. The market, estimated at $15 billion in 2025, is projected to expand significantly over the next decade, fueled by a compound annual growth rate (CAGR) of 25% from 2025 to 2033. This expansion is primarily attributed to the rising demand for faster and more efficient AI development, particularly within crucial applications like deep learning/machine learning (DL/ML), natural language processing (NLP), and computer vision (CV). The availability of pre-trained models and readily accessible tools within SDKs significantly reduces development time and costs, making AI solutions more accessible to a broader range of businesses, regardless of their size or technical expertise. Furthermore, the continuous evolution of AI algorithms and the growing availability of powerful computing resources are further bolstering market growth. The market segmentation reveals strong demand for both independent and framework-dependent SDKs, with independent SDKs offering greater flexibility and customization while framework-dependent SDKs providing a simplified development experience. Major technology companies like Google, Microsoft, and Nvidia, alongside industry players like Baidu and Huawei, are driving innovation through continuous improvements in their offerings and strategic partnerships, which further accelerates market penetration. The growth trajectory of the AI SDK market is influenced by several factors. While the increasing adoption across various industries remains a primary driver, challenges such as the high cost of development and maintenance for sophisticated AI models, and the requirement for specialized skills to effectively utilize these tools, act as potential restraints. However, these challenges are being actively addressed through the development of user-friendly tools, cloud-based AI platforms, and educational initiatives aimed at upskilling the workforce. The geographical distribution of the market reveals strong presence in North America and Europe, with Asia-Pacific emerging as a rapidly growing region. This growth is fueled by increasing investments in technology and the expanding digital landscape in developing economies within this region. The continued evolution of AI technologies, along with ongoing investments in research and development, is expected to propel the market towards even greater heights, creating numerous opportunities for both established players and emerging companies.

To inform a community strategy for building and maintaining U.S. leadership in software engineering and AI engineering, the Carnegie Mellon University's Software Engineering Institute (CMU SEI) and the Software Productivity, Sustainability, and Quality (SPSQ) Interagency Working Group co-hosted the workshop at the National Science Foundation from June 20th to the 21st, 2023. The event gathered thought leaders from federal research funding agencies, research laboratories, mission agencies, and commercial organizations. Participants used the SEI’s Architecting the Future of Software Engineering: A National Agenda for Software Engineering Research and Development1 as a starting point because the areas of focus that the study identifies have been confirmed as increasingly critical, particularly due to the rapid advances of generative artificial intelligence (AI) in the two years since its release. Specifically, participants identified the following three research areas from the study as having direct relevance: AI-augmented Software Development, Assuring Continuously Evolving Software Systems, and Engineering AI-Enabled Software Systems...

The custom software development solutions market is experiencing robust growth, driven by increasing digital transformation initiatives across diverse sectors. The market, estimated at $500 billion in 2025, is projected to achieve a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching a market value exceeding $1.5 trillion by 2033. This expansion is fueled by several key factors: the escalating demand for tailored software solutions to meet unique business needs; the growing adoption of cloud-based technologies, enabling scalable and cost-effective development; and the rising prevalence of mobile applications, requiring specialized software solutions for diverse platforms. The enterprise segment constitutes the largest share of the market, followed by merchants and other sectors. Within the software types, industry-specific and management-specific software dominate, reflecting the diverse needs of various industries and organizational functions. Geographical distribution shows a significant concentration in North America and Europe, although the Asia-Pacific region is emerging as a rapidly growing market, driven by increasing technological advancements and a burgeoning digital economy in countries like India and China. Significant restraints include the high initial investment costs associated with custom software development, the potential for project delays and cost overruns, and the ongoing need for maintenance and updates. However, these challenges are being mitigated by the emergence of agile development methodologies, improved project management tools, and the increasing availability of skilled developers globally. Leading companies in this space – including Appinventiv, BairesDev, Accenture, IBM, and others – are continually innovating to address these concerns and deliver high-quality, cost-effective solutions. The competitive landscape is characterized by both established players and emerging niche providers, creating a dynamic and rapidly evolving market. Future growth will be shaped by advancements in artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT), driving demand for increasingly sophisticated and interconnected software solutions.

The Enterprise Artificial Intelligence (AI) Development Services market is experiencing robust growth, driven by the increasing adoption of AI across various industries to enhance operational efficiency, improve decision-making, and create new revenue streams. The market, estimated at $15 billion in 2025, is projected to grow at a Compound Annual Growth Rate (CAGR) of 25% from 2025 to 2033. This significant expansion is fueled by several key factors: the rising availability of large datasets for training AI models, advancements in AI algorithms and computing power (making AI more accessible and affordable), and the growing demand for AI-powered solutions across sectors like finance, healthcare, and manufacturing. The market is segmented by service type (AI consulting, software development, app development) and application (data science, machine learning, video processing, face recognition, and others), with software development currently dominating the market share due to the high demand for bespoke AI solutions tailored to specific business needs. Continued growth is expected to be driven by the increasing adoption of cloud-based AI services, enabling businesses of all sizes to leverage AI capabilities without significant upfront investment. Furthermore, the development of more sophisticated AI technologies, such as natural language processing (NLP) and computer vision, will further expand the market's potential. However, challenges remain, including the need for skilled AI professionals, concerns around data security and privacy, and the ethical implications of AI deployment. Despite these restraints, the long-term outlook for the Enterprise AI Development Services market remains positive, with substantial opportunities for companies providing innovative and reliable AI solutions. The diverse range of companies mentioned, representing a global landscape, reflects the competitive yet expanding nature of this dynamic market.

The global Artificial Intelligence (AI) Coding Tools market is experiencing exponential growth, with a market size valued at XXX million in 2025 and projected to reach XXX million by 2033. This remarkable growth, with a CAGR of XX%, is driven by the increasing adoption of AI and machine learning (ML) in software development, the surge in data volumes, and the growing demand for efficient and accurate coding. The market is segmented into various types (e.g., Code Testing Tools, AI Developer Tools) and applications (e.g., Software Testing, Software Development). The competitive landscape of the AI Coding Tools market is characterized by the presence of established players such as Sourcegraph, SenseTime, ByteDance, Zhihui AI, and Tencent. These companies are investing heavily in research and development to enhance their offerings and gain market share. Additionally, emerging startups like GitHub Copilot, Grit, Kodezi, Open AI, Aurora, and C3 AI are disrupting the market with innovative AI-powered coding solutions. The market is expected to witness strategic partnerships, mergers and acquisitions, and product advancements as companies strive to stay competitive and meet the evolving needs of software developers.

AI Chat Software Developers Market Outlook

The global AI Chat Software Developers market size is projected to grow from USD 2.5 billion in 2023 to USD 9.8 billion by 2032, registering a compound annual growth rate (CAGR) of 16.5% during the forecast period. This substantial growth is driven by the increasing adoption of artificial intelligence (AI) technologies across various industries, the escalating demand for automated customer support solutions, and the rapid advancements in natural language processing (NLP) capabilities.

The primary growth factor for the AI Chat Software Developers market is the increasing need for efficient and cost-effective customer support solutions. Businesses globally are recognizing the value of AI-powered chatbots in enhancing customer service experiences, reducing operational costs, and ensuring round-the-clock availability. The integration of AI chat software in customer support is driving significant improvements in response times and customer satisfaction rates, which in turn, is propelling market growth.

Another pivotal growth driver is the advancement in natural language processing (NLP) and machine learning (ML) technologies. These advancements enable AI chat software to understand and process human language more accurately and contextually, leading to more effective and human-like interactions. This technological progress is making AI chat software more accessible and reliable, thus increasing its adoption across various sectors, including healthcare, retail, and BFSI, among others.

The proliferation of digital transformation initiatives across industries is also contributing to market expansion. Organizations are increasingly investing in digital tools and platforms to streamline operations and improve customer engagement. AI chat software is a critical component of these digital ecosystems, providing seamless and interactive communication channels that enhance user experience and operational efficiency. This trend is further amplified by the growing importance of personalized customer interactions, which AI chat software is uniquely positioned to deliver.

Artificial Intelligence Software is at the heart of the transformative capabilities of AI chat solutions. These software systems are designed to simulate human-like interactions by leveraging advanced algorithms and data processing techniques. The development and deployment of AI software are crucial as they enable chatbots to understand, learn, and respond to user queries with high accuracy. As industries continue to embrace digital transformation, the demand for robust AI software that can seamlessly integrate with existing systems and provide scalable solutions is on the rise. This trend underscores the importance of continuous innovation in AI software development to meet the evolving needs of businesses and consumers alike.

From a regional perspective, North America currently holds a substantial share of the AI Chat Software Developers market, driven by the early adoption of advanced technologies and the presence of major tech companies. However, the Asia Pacific region is expected to exhibit the highest growth rate during the forecast period, fueled by rapid technological advancements, increasing investments in AI infrastructure, and a burgeoning e-commerce sector. Europe also presents significant growth opportunities, supported by strong digital transformation initiatives and a favorable regulatory environment.

Component Analysis

The AI Chat Software Developers market is segmented by components into software and services. The software segment is anticipated to dominate the market owing to the increasing demand for advanced AI chat applications that can efficiently handle customer queries and provide personalized responses. AI chat software includes a range of applications from simple chatbots to complex conversational agents powered by NLP and ML technologies. These applications are becoming more sophisticated, offering enhanced user experiences and higher accuracy in understanding and responding to user queries.

Services, on the other hand, encompass various support and maintenance activities that ensure the smooth functioning of AI chat software. This includes installation, integration, training, and consulting services, which are crucial for optimizing the performance and capabilities of AI chat applications. The services segment is expected to grow steadily, driven by the increasing n

Global Generative AI In Software Development market size is expected to reach $161.34 billion by 2029 at 24.7%, segmented as by solutions, ai-powered code generation, automated software testing and debugging