{"id":93678,"date":"2024-06-14T11:50:25","date_gmt":"2024-06-14T08:50:25","guid":{"rendered":"https:\/\/www.instinctools.com\/?p=93678"},"modified":"2025-06-02T17:09:00","modified_gmt":"2025-06-02T14:09:00","slug":"artificial-intelligence-in-software-development","status":"publish","type":"post","link":"https:\/\/www.instinctools.com\/blog\/artificial-intelligence-in-software-development\/","title":{"rendered":"Ascending New Heights of Coding with AI in Software Development"},"content":{"rendered":"\n<div class=\"wp-block-yoast-seo-table-of-contents yoast-table-of-contents\"><h2>Contents<\/h2><ul><li><a href=\"#h-benefits-of-ai-for-software-development-go-beyond-automation\" data-level=\"2\">Benefits of AI for software development go beyond automation<\/a><\/li><li><a href=\"#h-7-ways-ai-can-supercharge-your-software-development-process\" data-level=\"2\">7 ways AI can supercharge your software development process<\/a><\/li><li><a href=\"#h-which-tasks-ai-for-software-development-is-failing-at\" data-level=\"2\">Which tasks AI for software development is failing at?<\/a><\/li><li><a href=\"#h-choosing-an-ai-software-development-assistant-open-source-vs-proprietary-tools\" data-level=\"2\">Choosing an AI software development assistant: open-source vs proprietary tools<\/a><\/li><li><a href=\"#h-a-new-era-of-development-empowerment-is-underway\" data-level=\"2\">A new era of development empowerment is underway<\/a><\/li><\/ul><\/div>\n\n\n\n<p>Today, every company, irrespective of their focus, is a tech-first company. When technology becomes an integral part of everything your organization does, having the means to master continuous delivery is instrumental to fuelling your business growth. In 2025, AI in software development is billed to become that growth engine.<\/p>\n\n\n\n<p>As an AI-savvy company, we help our clients leverage the power of artificial intelligence in software development, applying it to specific tasks \u2014 and we\u2019re sharing our battle-tested expertise and best practices in this guide.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/www.instinctools.com\/wp-content\/uploads\/2024\/06\/ascending-new-heights-of-coding-with-ai-in-software-development-_02-1024x683.jpg\" alt=\"Gen AI and SaaS enterprise penetration rate, % of spending by year since introduction\" class=\"wp-image-93680\"\/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-benefits-of-ai-for-software-development-go-beyond-automation\">Benefits of AI for software development go beyond automation<\/h2>\n\n\n\n<p>When AI made its debut into mainstream technology, organizations approached it with a cautious mindset. These days, IT-related use cases such as assisted code creation, testing automation, and others are already enjoying high adoption rates and are making the largest share (<a href=\"https:\/\/www.mckinsey.com\/industries\/technology-media-and-telecommunications\/our-insights\/navigating-the-generative-ai-disruption-in-software\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">40%<\/a>) of planned enterprise gen AI spending. Let\u2019s see what benefits have turned AI software development from faddish to fundamental.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/www.instinctools.com\/wp-content\/uploads\/2024\/06\/ascending-new-heights-of-coding-with-ai-in-software-development-_03-1024x683.jpg\" alt=\"AI assistants' impact: developers' perspective\" class=\"wp-image-93681\"\/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-cutting-costs-associated-with-development-efforts\">Cutting costs associated with development efforts<\/h3>\n\n\n\n<p>AI-powered software development is one free from time-consuming tasks, such as test cases, exploratory data analysis, small code updates, bug detection, and others. By automating away menial activities, AI tools bring down the number of labor hours, ultimately leading to a more cost-effective development process. Some of our clients wield the sword of <a href=\"https:\/\/www.instinctools.com\/machine-learning-app-development-services\/\" target=\"_blank\" rel=\"noreferrer noopener\">machine intelligence<\/a> to <strong>optimize maintenance costs for cloud infrastructure<\/strong>.<strong>&nbsp;<\/strong><\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>Our client\u2019s team automated repetitive tasks inherent in infrastructure maintenance by <a href=\"https:\/\/www.instinctools.com\/blog\/ai-development\/\" target=\"_blank\" rel=\"noreferrer noopener\">employing AI<\/a> to produce a prewritten set of recommendations for the automated execution of tasks. Bundling the recommendations in a playbook, the team drew up blueprints for repetitive actions, cutting development efforts and associated costs by 30%.<\/p>\n<cite>\u2014 <em>Aleksej Morskoj, Delivery Manager, *instinctools<\/em><\/cite><\/blockquote>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-accelerating-developers-productivity-and-time-to-value\">Accelerating developers\u2019 productivity and time-to-value<\/h3>\n\n\n\n<p>Software engineers can join forces with an AI pair programmer to tap auto-complete features like code recommendations and context-aware suggestions. The latter eliminates the need to manually search for code snippets or specific function syntax, <strong>minimizing context switching<\/strong> for developers.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/www.instinctools.com\/wp-content\/uploads\/2024\/06\/ascending-new-heights-of-coding-with-ai-in-software-development-_04-1024x683.jpg\" alt=\"AI code assistant benefits\" class=\"wp-image-93688\"\/><\/figure>\n\n\n\n<p>AI toolbelts like Github Copilot also keep developers in the zone by offering integrated development environments, summaries for pull requests, and explanations for code blocks.<\/p>\n\n\n\n<p>The majority of professional developers \u2014 <a href=\"https:\/\/survey.stackoverflow.co\/2024\/ai#developer-tools-ai-ben-prof\" target=\"_blank\" rel=\"noreferrer noopener\">82,7%<\/a>, to be exact \u2014 cite increased productivity as the biggest benefit of AI-powered coding assistants.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>We&#8217;ve seen this firsthand: on average, our clients have achieved a 25% improvement in their development velocity by <a href=\"https:\/\/www.instinctools.com\/machine-learning-consulting-services\/\" target=\"_blank\" rel=\"noreferrer noopener\">introducing artificial intelligence<\/a> into the software development process.<\/p>\n<cite>\u2014 <em>Aleksej Morskoj, Delivery Manager, *instinctools<\/em><\/cite><\/blockquote>\n\n\n\n<p><strong>Our client, a prominent bank in the MENAT region, stated: \u201cEmbedding AI tools into the development workflows has changed the game for our developers. These tools can produce an entire script based on just a single comment, cutting coding time in half\u201d.<\/strong><\/p>\n\n\n\n<p>Productivity gains also translate into swifter and more cost-efficient innovation cycles that allow companies to rapidly adapt to shifting customer needs and snap opportunities faster than their competitors.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-improving-code-quality\">Improving code quality<\/h3>\n\n\n\n<p>AI-powered developer tools leverage natural language processing to dissect context from a user\u2019s existing code and suggest additional lines of code and functions. It means that smart assistants can identify the optimal approach or solution to the development challenge \u2014 based on the natural-language prompt from human software engineers.&nbsp;<\/p>\n\n\n\n<p>AI tools can also improve the debugging process by <strong>quickly identifying and rectifying errors<\/strong>, contributing to a higher quality of deliverables. AI-assisted code reviews and static code analysis <strong>minimize the code vulnerability surface<\/strong> and improve its consistency. For example, artificial intelligence puts edge cases, which might be hard to spot through manual testing, on sharp display, leading to a more reliable final product.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-focusing-on-building-and-creating-vs-repetitive-tasks\">Focusing on building and creating vs. repetitive tasks<\/h3>\n\n\n\n<p>Artificial intelligence in software engineering helps <a href=\"https:\/\/survey.stackoverflow.co\/2024\/ai#developer-tools-ai-ben\" target=\"_blank\" rel=\"noreferrer noopener\">25%<\/a> of developers manage their workloads more effectively, freeing them up to focus on more creative and challenging tasks instead of grinding away at mind-numbing activities like code formatting or documentation updates. Developers then use this headroom to flex their problem solving skills, analyze feedback from end users, and hatch solutions to novel problems.<\/p>\n\n\n\n<p class=\"has-text-color has-link-color has-medium-font-size wp-elements-5140c5939d6fe9033f87017d3ebfc3c1\" style=\"color:#99cc00\"><strong><em>According to our client, a world-known educational technology company, thanks to AI tools, their software engineers stay in the peak state of productivity instead of wading through code libraries and documentation.<\/em><\/strong><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-speeding-up-the-onboarding-process-and-flattening-the-learning-curve-for-new-hires\">Speeding up the onboarding process and flattening the learning curve for new hires<\/h3>\n\n\n\n<p>Apart from being the wingman for experienced software developers, AI systems can also <strong>help junior specialists get up to speed<\/strong>. By training intelligent systems on the company\u2019s software stack, <a href=\"https:\/\/www.instinctools.com\/blog\/dedicated-development-team-guide\/\" target=\"_blank\" rel=\"noreferrer noopener\">dedicated software development teams<\/a> can integrate new hires into the fold faster than usual, accelerating their modus operandi.&nbsp;<\/p>\n\n\n\n<p>Also, these tools can improve the availability of mentorship and support for junior developers. Unlike team leads, AI tools, with their never-ending bandwidth, can provide <strong>instant feedback<\/strong> or <strong>relevant suggestions 24\/7<\/strong> to lead rookie developers in the right direction. This creates a valuable tool \u2014 artificial intelligence is always there to support junior developers, while senior developers can leverage AI&#8217;s insights to provide targeted support when new hires need it most.&nbsp;<\/p>\n\n\n\n<div class=\"wp-block-cta-blog-block-cta cta-blog\"><span class=\"draw draw_color-right draw_undefined\"><\/span><span class=\"draw draw_color-left draw_gray\"><\/span><div class=\"cta-blog__wrap\"><div class=\"cta-blog__left\" style=\"max-width:367px\"><p class=\"cta-blog__title\">Need AI software developers to set up smart coding assistants? <\/p><p class=\"cta-blog__desc\"><\/p><\/div><div class=\"button button_undefined button_bg-gray cta-blog__btn\"><a href=\"#contact-form\" class=\"link-anchor\" target=\"_self\" rel=\"noopener\">Reach out\u00a0<\/a><\/div><\/div><div class=\"cta-blog__form form_light\"><\/div><\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-7-ways-ai-can-supercharge-your-software-development-process\">7 ways AI can supercharge your software development process<\/h2>\n\n\n\n<p>Name any software engineering task \u2014 and chances are good that, supercharged with artificial intelligence, it can be performed at least 50% faster and up to the highest quality standards.<\/p>\n\n\n\n<p>Have no doubt: thanks to the powerful combo of artificial intelligence and software engineering your team can really speed things up, especially when it comes to these seven activities:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-1-writing-boilerplate-code\">1. Writing boilerplate code<\/h3>\n\n\n\n<p>Boilerplate code is a developer\u2019s long-time nemesis, forcing engineers to spend an eternity writing the same tedious sections of code over and over. Artificial intelligence software development can eliminate the associated drudgery by streamlining the process of boilerplate code generation:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Pattern recognition \u2014 once trained on the existing code base, large language models can identify patterns commonly used in boilerplate code, such as database connections, error handling blocks, and other structures.<\/li>\n\n\n\n<li>Contextual awareness \u2014 intelligent teammates can figure out developers\u2019 intent and fine-tune the boilerplate code to the unique needs of the project.<\/li>\n\n\n\n<li>Code completion \u2014&nbsp;<a href=\"https:\/\/www.instinctools.com\/blog\/conversational-ai-chatbot-vs-assistants\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI-enabled virtual assistants<\/a> can suggest code snippets based on the surrounding code and auto-complete the boilerplate structure for a specific function.<\/li>\n<\/ul>\n\n\n\n<p class=\"has-text-color has-link-color has-medium-font-size wp-elements-ec618055c72b844c484e15332c5ec096\" style=\"color:#99cc00\"><strong><em>Expanding on their previous insights, our client, an EdTech company, shared: \u201cBoilerplate code is the AI\u2019s strong suit \u2014 we\u2019ve seen a 25% increase in developer velocity thanks to the granular suggestions provided by AI tools\u2019.&nbsp;<\/em><\/strong><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-2-code-suggestions\">2. Code suggestions<\/h3>\n\n\n\n<p>Much like with boilerplate code, AI co-pilots can act as smart code whisperers for developers, offering semantically relevant code snippets based on their deep learning capabilities. These tools can also guide developers toward the right solution by directing them to the relevant libraries and common coding patterns.&nbsp;<\/p>\n\n\n\n<p>Besides accurate suggestions with comments, developers can pick the AI brains to <strong>get their code inline fixed.&nbsp;<\/strong><\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-video\"><video controls src=\"https:\/\/github.blog\/wp-content\/uploads\/2024\/01\/06-inline-code-copilot.mp4#t=0.001\"><\/video><figcaption class=\"wp-element-caption\"><em>Source: GitHub<\/em><\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-3-code-refactoring-and-modernization\">3. Code refactoring and modernization<\/h3>\n\n\n\n<p>Most codebases get messy over time due to constant fixes and changing project requirements. Generative AI models fed with well-refactored code <strong>can highlight code smells in your existing codebase<\/strong> and <strong>suggest refactoring techniques or alternative code structures<\/strong> for enhanced system performance.&nbsp;<\/p>\n\n\n\n<p>Developers can also ask AI tools to<strong> explain legacy code<\/strong> \u2014 and then feed this explanation, supplemented with additional information, back into the system to modernize the code and facilitate technical debt management.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-4-code-translation\">4. Code translation<\/h3>\n\n\n\n<p>Old-school code translation tools fail to understand the underlying purpose of code due to their focus on the code structure. Conversely, AI-enabled models can discern the code semantics to suggest translations that preserve the original functionality.&nbsp;<\/p>\n\n\n\n<p class=\"has-text-color has-link-color has-medium-font-size wp-elements-b9601fccdc67e1bc7b4a69044da22b61\" style=\"color:#99cc00\"><strong><em>At *instinctools, we also help our clients train AI tools on their existing codebases to augment the model\u2019s translation capabilities and adjust translations to the unique specific coding style, patterns, and libraries used in the project.<\/em><\/strong><\/p>\n\n\n\n<p>Development teams can capitalize on this superpower to streamline code conversion or app modernization projects, such as converting COBOL to Java.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-5-bug-detection\">5. Bug detection<\/h3>\n\n\n\n<p>Development teams can also harness the duo of software engineering and artificial intelligence to automatically catch bugs early in the software development lifecycle. Thanks to built-in pattern recognition and machine learning anomaly detection trained on historical data from similar codebases, AI coding tools can spot subtle anomalies in the existing code that might otherwise go unnoticed.<\/p>\n\n\n\n<p>AI pair programmers can also perform code reviews in the background, bringing potential issues to the fore and suggesting areas for closer inspection.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-6-testing\">6. Testing<\/h3>\n\n\n\n<p>Quality assurance and testing have a significant scope for automation due to inherent redundancy. Although AI can\u2019t take over testing tasks completely, it can significantly improve testing speed and coverage by enhancing the following aspects:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Test case generation and execution \u2014 following software specifications, generative AI can produce test cases to help testers cover a wider range of scenarios.<\/li>\n\n\n\n<li>Data generation for testing \u2014 artificial intelligence proves effective in generating edge cases and corner scenarios that might be challenging to create manually.<\/li>\n\n\n\n<li>Performance and load testing \u2014 AI-powered testing tools can produce load for performance and load testing.<\/li>\n\n\n\n<li>Test planning \u2014 smart coding tools can suggest test cases based on historical data, identify missing test cases, and map out dependencies to identify the right order of test execution.<\/li>\n<\/ul>\n\n\n\n<p>Artificial intelligence also acts as a collaborative assistant for visual testing, exploratory testing assistance, and maintenance of test cases.<\/p>\n\n\n\n<p><strong><em>\u201c<\/em><\/strong><strong>Before introducing AI in the testing workflow, our developers haven\u2019t had enough time to create unit, functional, and performance tests for their code. Bug slipped through the cracks, causing issues in production with missing tests snowballing into tech debt. AI tools have tackled this problem by automating repetitive testing tasks and increasing test coverage without developers doubling the code\u2019, \u2014 noted a representative from a consulting company, partnering with us on software development initiatives.<\/strong><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-7-preparing-documentation\">7. Preparing documentation<\/h3>\n\n\n\n<p>Code is never static \u2014 it evolves throughout development cycles, making it challenging for developers to keep up with documentation updates. Based on code comments and function signatures, machine learning models can automatically <strong>create a document that accurately outlines system behavior and its functionality<\/strong>. These tools can also account for the implemented tech stack and project-specific functionalities to generate comprehensive documentation aligned with the specific codebase.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-video\"><video controls src=\"https:\/\/github.blog\/wp-content\/uploads\/2024\/01\/08-docs.mp4#t=0.001\"><\/video><figcaption class=\"wp-element-caption\"><em>Source: GitHub<\/em><\/figcaption><\/figure>\n\n\n\n<div class=\"wp-block-cta-blog-block-cta cta-blog\"><span class=\"draw draw_color-right draw_undefined\"><\/span><span class=\"draw draw_color-left draw_gray\"><\/span><div class=\"cta-blog__wrap\"><div class=\"cta-blog__left\" style=\"max-width:367px\"><p class=\"cta-blog__title\">Train AI on your data and get personalized insights you can\u2019t find elsewhere<\/p><p class=\"cta-blog__desc\"><\/p><\/div><div class=\"button button_undefined button_bg-gray cta-blog__btn\"><a href=\"#contact-form\" class=\"link-anchor\" target=\"_self\" rel=\"noopener\">Contact our team<\/a><\/div><\/div><div class=\"cta-blog__form form_light\"><\/div><\/div>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/www.instinctools.com\/wp-content\/uploads\/2024\/06\/ascending-new-heights-of-coding-with-ai-in-software-development-_07-1-1024x683.jpg\" alt=\"AI code assistant's key features\" class=\"wp-image-93689\"\/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-which-tasks-ai-for-software-development-is-failing-at\">Which tasks AI for software development is failing at?<\/h2>\n\n\n\n<p>Now the main question is: can AI replace software engineers? Not in the foreseeable future. While AI and software development are a power couple, their duo is still a far cry from a fully automated software development process. <a href=\"https:\/\/www.instinctools.com\/ai-development-company-in-usa\/\" target=\"_blank\" rel=\"noreferrer noopener\">Artificial intelligence development<\/a> requires human oversight and collaboration to do its best.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-1-handling-a-combination-of-legacy-and-updated-code\">1. Handling a combination of legacy and updated code<\/h3>\n\n\n\n<p>AI software solutions have a hard time clawing through a repository that contains both legacy and new code due to the fragmentation and incompatibility caused by the former. Legacy codebases may not integrate well with common frameworks or libraries and often lack structure and adherence to current best practices \u2014 which makes it challenging for AI to understand its functionality.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-2-contributing-to-organizational-and-project-context\">2. Contributing to organizational and project context<\/h3>\n\n\n\n<p>Canned AI\u2013based coding tools are know-it-alls, so they are not designed to consider the unique requirements of your project or your business context. It means that unless you train it on your proprietary data, AI output might not meet your specific performance or security needs.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-3-non-generic-architectures\">3. Non-generic architectures<\/h3>\n\n\n\n<p>Artificial intelligence coding tools are capable of mustering basic, high-level design blueprints, while more nuanced architectural solutions remain a near-impossible feat for these tools. Also, the innovative potential of AI is limited by the training data, which means that cutting-edge architectural solutions fall under the domain of human ingenuity, not machine intelligence.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-4-navigating-tricky-coding-requirements\">4. Navigating tricky coding requirements<\/h3>\n\n\n\n<p>While AI coding tools are all for answering basic prompts, they hit a brick wall when faced with more complicated coding challenges. For example, AI-based tools wrestle with combining multiple frameworks with disparate code logic or generating a code suggestion based on the big picture.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-choosing-an-ai-software-development-assistant-open-source-vs-proprietary-tools\">Choosing an AI software development assistant: open-source vs proprietary tools<\/h2>\n\n\n\n<p>Standing at the AI crossroads, companies usually face two options. They can either leverage open-source tools such as OpenCV, PyTorch, and Codestral or invest in proprietary solutions such as Microsoft Github Copilot and IBM watsonx Code Assistant.<\/p>\n\n\n\n<p>Open-source tools that put AI algorithms, pre-trained models, and data sets up for public use are favored by the community due to their transparency and limitless options for innovation. Proprietary tools hide the source code from the public eye, yet offer support from the vendor, and potentially more advanced features.<\/p>\n\n\n\n<p>So which one should you opt for? Here&#8217;s a table from our experts that summarizes the key differences:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Criteria<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\"><strong>Open-source AI tools<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\"><strong>Proprietary AI tools<\/strong><\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Source code access<\/td><td class=\"has-text-align-center\" data-align=\"center\">Freely available<\/td><td class=\"has-text-align-center\" data-align=\"center\">Not publicly available<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Cost<\/td><td class=\"has-text-align-center\" data-align=\"center\">Lower upfront costs + potential hidden costs (additional infrastructure, feature development)<\/td><td class=\"has-text-align-center\" data-align=\"center\">Higher upfront costs, lower TCO due to pre-built features<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Security<\/td><td class=\"has-text-align-center\" data-align=\"center\">Higher control over data, yet the vulnerability surface is larger<\/td><td class=\"has-text-align-center\" data-align=\"center\">Less transparent, vendor is responsible for security updates<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Customization<\/td><td class=\"has-text-align-center\" data-align=\"center\">Highly customizable, can be fine-tuned to suggest code based on best practices in your repositories<\/td><td class=\"has-text-align-center\" data-align=\"center\">Limited customization with a few configuration options (custom extensions, plugins)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-a-new-era-of-development-empowerment-is-underway\">A new era of development empowerment is underway<\/h2>\n\n\n\n<p>As AI continues to push the boundaries of software development, it\u2019s important to remember that it\u2019s not a panacea. Artificial intelligence is an augmentation tool whose true potential lies in its ability to automate menial tasks, enable developers to spend more time on problem-solving and empower them to build high-quality software faster. You can\u2019t expect it to work miracles, but you can embrace the technology to ship software solutions more efficiently than ever before.<\/p>\n\n\n\n<div class=\"wp-block-cta-blog-block-cta cta-blog\"><span class=\"draw draw_color-right draw_undefined\"><\/span><span class=\"draw draw_color-left draw_gray\"><\/span><div class=\"cta-blog__wrap\"><div class=\"cta-blog__left\" style=\"max-width:367px\"><p class=\"cta-blog__title\">Take your software development to the next level with AI<\/p><p class=\"cta-blog__desc\"><\/p><\/div><div class=\"button button_undefined button_bg-gray cta-blog__btn\"><a href=\"#contact-form\" class=\"link-anchor\" target=\"_self\" rel=\"noopener\">Schedule a consultation<\/a><\/div><\/div><div class=\"cta-blog__form form_light\"><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Learn about the true potential of AI in software development, its real-world use cases and limitations to be prepared for the next era of product engineering.<\/p>\n","protected":false},"author":29,"featured_media":93685,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"cta":"","footnotes":""},"categories":[715,632],"products_posts":[],"consulting_posts":[],"industry_posts":[],"engagement_model_posts":[],"class_list":["post-93678","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-development","category-software-product-development"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v24.5 (Yoast SEO v24.5) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AI for Software Development in 2025 | *instinctools<\/title>\n<meta name=\"description\" content=\"Learn about the true potential of AI in software development, its real-world use cases and limitations to be prepared for the next era of product engineering.\" \/>\n<meta name=\"robots\" content=\"index, follow, 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