{"id":1855,"date":"2026-02-20T15:23:42","date_gmt":"2026-02-20T12:23:42","guid":{"rendered":"https:\/\/aetsoft.net\/blog\/?p=1855"},"modified":"2026-02-23T19:42:59","modified_gmt":"2026-02-23T16:42:59","slug":"legacy-modernization","status":"publish","type":"post","link":"https:\/\/aetsoft.net\/blog\/legacy-modernization\/","title":{"rendered":"Legacy system modernization: Core strategies and the role of AI agents"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Our new blog post features how to implement legacy system modernization with AI agents to increase enterprise efficiencies, speed up scalability, enhance security, and slash maintenance costs.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Nowadays, companies that still rely on legacy software in their daily operations face a number of problems. Thus, according to the <\/span><a href=\"https:\/\/www.servicenow.com\/products\/it-operations-management\/legacy-systems-cost.html\"><span style=\"font-weight: 400;\">stats from ServiceNow<\/span><\/a><span style=\"font-weight: 400;\">, such systems cost enterprises about $40,000 a year in maintenance, and 44% of experts experience difficulties in incorporating new techs due to the legacy drain.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">With this in mind, stakeholders start taking the legacy modernization side, and here\u2019s the proof. In 2025, the legacy application modernization market size was estimated at $15.14 billion, and by 2029, this number is expected to reach <\/span><a href=\"https:\/\/www.researchandmarkets.com\/reports\/6215677\/legacy-software-modernization-global-market-report\"><span style=\"font-weight: 400;\">$27.3 billion<\/span><\/a><span style=\"font-weight: 400;\">, growing at a compound annual growth rate (CAGR) of 15.9%.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">And before getting down to the grain, describing major strategies of legacy modernization and explaining how you can accelerate the process with AI agents, let\u2019s first cover the essentials.<\/span><\/p>\n<div id=\"What is legacy system modernization?\" class=\"anchor\"><\/div>\n<h2><span style=\"font-weight: 400;\">What is legacy system modernization?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Legacy system modernization is the process of refining, updating, transforming, or even replacing obsolete software within an enterprise to align with modern techs and tailored business needs. As a result of such transformation, you get more scalable, agile, and secure systems, at the same time eliminating technical debt and maximizing operational efficiencies.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">The reasons for modernization of legacy systems differ depending on the legacy type:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Technology-based<\/b><span style=\"font-weight: 400;\"> legacy software that usually runs on COBOL, Fortran, or old versions of Java\/Python (that are no longer supported) is prone to attacks, as there are no more security patches for such software or developers with the needed expertise.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Architecture-base<\/b><span style=\"font-weight: 400;\">d type presupposes that the \u201cbones\u201d of the solution are no longer agile, i.e. monolithic architectures where the UI and logic are glued together and slight changes like changing a button might lead to the system failure.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Business-based<\/b><span style=\"font-weight: 400;\"> legacy systems create situations when specific business logic was implemented by experts who left the company years ago, and new product launches or pricing model changes are difficult to introduce.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Integration-based<\/b><span style=\"font-weight: 400;\"> legacy means your outdated systems don\u2019t have APIs and rely on manual data entry, which creates data silos and in turn errors, delays, and a fragmentation vision of your business.<\/span><\/li>\n<\/ul>\n<div id=\"Why do you need to implement legacy system modernization?\" class=\"anchor\"><\/div>\n<h2><span style=\"font-weight: 400;\">Why do you need to implement legacy system modernization? Four key reasons<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">The modernization of legacy systems will give a number of perks for your enterprise, and we have the statistical proof.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Cost reduction<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Although costly at first sight, legacy application modernization will bring you more bang for your buck. By replacing fragile, outdated foundations with modular, standard-compliant architectures, you eliminate the technical debt, as modern software is easier to maintain and troubleshoot. For example, IBM <\/span><a href=\"https:\/\/www.ibm.com\/think\/insights\/four-steps-to-app-modernization-success\"><span style=\"font-weight: 400;\">reports<\/span><\/a><span style=\"font-weight: 400;\"> 15-35% yearly savings on infrastructure as well as 74% lower costs on hardware, software, and staff.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Enhanced efficiency<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">By eliminating code smells and complex logic, your teams start spending less time on manual fixes, thus concentrating on high-value feature development. Besides, modern architectures and languages are greatly optimized for speed, so tasks that took hours can be completed in minutes or even seconds. Resource optimization is another benefit. Instead of running expensive servers at 20% capacity just in case, you can automatically scale up and down cloud resources, reaching maximum output with minimum waste.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Rock-solid security and compliance\u00a0<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Statista says that <\/span><a href=\"https:\/\/www.statista.com\/statistics\/1420607\/main-drivers-modernizing-legacy-applications-data\/\"><span style=\"font-weight: 400;\">58% of enterprises<\/span><\/a><span style=\"font-weight: 400;\"> cite improved security as the number-one driver for updating obsolete software. And for a reason. Outdated technology lacks support for modern encryption and multi-factor authentication, making it prone to malicious attacks. For example, a <\/span><a href=\"https:\/\/www.bbc.com\/news\/articles\/c724e12zpndo\"><span style=\"font-weight: 400;\">massive data breach<\/span><\/a><span style=\"font-weight: 400;\"> at the UK Electoral Commission resulted in disclosing about 40 million individuals\u2019 personal data, and the vulnerabilities stemmed from unsupported, unpatched software. On top of that, by modernizing legacy solutions, you make it a way easier to comply with regulations like GDPR, HIPAA, or PCI-DSS.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Business agility and innovation<\/span><\/h3>\n<p><a href=\"https:\/\/www.forbes.com\/sites\/edwardsegal\/2025\/07\/05\/the-barriers-that-discourage-companies-from-embracing-new-technologies\/\"><span style=\"font-weight: 400;\">According to Forbes<\/span><\/a><span style=\"font-weight: 400;\">, 88% of respondents say they\u2019re preoccupied with the fact that their obsolete software makes them lagging behind more innovative rivals. Another 68% report that old techs prevent them from adopting innovations. In turn, by moving to modern codebases, you can easily connect your solutions with AI, machine learning, big data analytics, and other trailblazing techs, rapidly deploying gestures that will make you stand out from the crowd.<\/span><\/p>\n<div id=\"Top-5 legacy application modernization strategies\" class=\"anchor\"><\/div>\n<h2><span style=\"font-weight: 400;\">Top-5 legacy application modernization strategies<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Introduced by Gartner as 5 Rs, legacy application modernization strategies range from some slight changes to deep transaction and transformations.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Rehosting<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Also called as lift-and-shift, this legacy modernization strategy is the fastest and the least expensive. It usually comprises moving the outdated software to a new environment, mostly from on-premises to the cloud \u2014 with minimal changes to the app and its architecture. This method is perfectly fitted for:<\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><b>Urgent deadlines<\/b><span style=\"font-weight: 400;\">, when you need to move a data center quickly.<\/span><\/li>\n<li><b>Cost management<\/b><span style=\"font-weight: 400;\">, when you want to make a transition from high capital expenditure (CapEx) for hardware to a pay-as-you-go operational expense (OpEx) model.<\/span><\/li>\n<li><b>Stable legacy<\/b><span style=\"font-weight: 400;\"> that works well and doesn\u2019t need new features.<\/span><\/li>\n<\/ul>\n<p>Pros<span style=\"font-weight: 400;\">:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">High transition speed<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Low initial cost as there\u2019s no code rewriting<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Low risks of introducing bugs<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Immediate scalability<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>Cons<span style=\"font-weight: 400;\">:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Technical debt (messy code) will move to a new environment.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Missed perks: you won\u2019t benefit from cloud-native features like auto-scaling and serverless computing.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cost inefficiency, as your poorly designed solution might consume more cloud resources than necessary.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Use case:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Netflix started its cloud endeavor with a lift-and-shift to Amazon Web Services (AWS) before later refactoring its entire system into microservices.<\/span><\/li>\n<\/ul>\n<h3><span style=\"font-weight: 400;\">Replatforming<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Replatforming, or Lift-and-Reshape, is a strategy that includes making a few key adjustments to the legacy software to optimize it for the new environment. This method is typically used when the solution works fine, but there are problems with infrastructure management or licensing costs:<\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><b>Managed databases<\/b><span style=\"font-weight: 400;\">. You can eliminate manual backups and patching by moving from a self-installed SQL Server on a VM to a managed service like AWS RDS or Azure SQL.<\/span><\/li>\n<li><b>Containerization<\/b><span style=\"font-weight: 400;\"> is another use case. By packing the legacy solution into Docker containers, you make it easy to manage, without changing the actual code logic.<\/span><\/li>\n<li><b>Middleware upgrades<\/b><span style=\"font-weight: 400;\"> presupposes moving from heavy and costly servers such as WebLogic to more lightweight versions like Apache Tomcat.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Pros:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Enhanced automation as you eliminate manual backups, OS patching, and hardware scaling.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cost effectiveness as managed services are optimized for price-performance.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Minimal risk because you don\u2019t break the app functionality.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Cons:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Scope creep that might turn a quick project into a massive one.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Technical debt still stays.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Use case:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">In the years of its early growth, Pinterest replatformed their data layer to Amazon S3 and managed NoSQL databases, sparing engineers the need of manually managing server maintenance.<\/span><\/li>\n<\/ul>\n<h3><span style=\"font-weight: 400;\">Refactoring<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">This method includes restructuring and optimizing the existing code without altering its external behavior. The code becomes more maintainable to better suit a cloud environment. Here are the use cases, when refactoring is the best choice:<\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><b>High technical debt<\/b><span style=\"font-weight: 400;\">. The code is messy, and it\u2019s difficult and expensive to add new functionality to the app.<\/span><\/li>\n<li><b>Performance issues<\/b><span style=\"font-weight: 400;\">, i.e. legacy software is slow or inefficient despite having powerful hardware.<\/span><\/li>\n<li><b>Long-term value<\/b><span style=\"font-weight: 400;\">. When the app is critical to your business, refactoring is the optimal investment in code quality.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Pros:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Increased agility, because the code becomes cleaner<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Enhanced performance due to resource optimization\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Reduced technical debt and easier software maintenance<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Cons:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Time- and effort-consuming<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Risk of regression<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Testing intensive<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Use case:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Etsy refactored its messy PHP code to isolate search logic and implement modern API-first patterns, which resulted in increased solution scalability with no need to rewrite the entire marketplace.<\/span><\/li>\n<\/ul>\n<h3><span style=\"font-weight: 400;\">Rearchitecting<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">The re-architect strategy comprises changing the internal structure and code of the legacy software to move it to a new architecture. This is a fundamental shift that often includes moving from a monolithic structure to a microservices-based \/ serverless architecture. The situations when minor updates are not enough are the following:<\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><b>Scalability barriers<\/b><span style=\"font-weight: 400;\">. When the outdated software isn\u2019t able to cope with traffic spikes, even when extra hardware is available.<\/span><\/li>\n<li><b>Incompatibility<\/b><span style=\"font-weight: 400;\">, namely when legacy apps fail to pair up with modern AI tools, IoT solutions, or advanced data analytics systems.<\/span><\/li>\n<li><b>Increased technical debt<\/b><span style=\"font-weight: 400;\">, meaning the cost of maintaining the old system and finding specialized talent outweighs the cost of transformation.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Pros:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Auto-scaling and high availability<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Resilience (if one server fails, the entire app won\u2019t go down)<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Future proofing (enhanced compatibility)<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Cons:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Quite high cost<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Time-consuming<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Operations complexity<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Use case:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Airbnb moved their Ruby on Rails monolith to a microservices-based infrastructure to reach immense scalability and as a result revenue growth.<\/span><\/li>\n<\/ul>\n<h3><span style=\"font-weight: 400;\">Rebuilding<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">The most radical legacy system modernization strategy, rebuilding presupposes entirely discarding the existing code and developing the software from scratch on a new architecture and tech stack. At the same time, the previous business requirements are maintained.<\/span><\/p>\n<ul>\n<li><span style=\"font-weight: 400;\">Total <\/span><b>obsolescence<\/b><span style=\"font-weight: 400;\"> is the code that is impossible to maintain (for example, COBOL or Delphi).<\/span><\/li>\n<li><b>Logic pollution<\/b><span style=\"font-weight: 400;\"> (impossible to understand or modify) due to many-year messy code fixes.<\/span><\/li>\n<li><b>Strategic pivot<\/b><span style=\"font-weight: 400;\">. This includes the necessity to rebuild, when the outdated platform can\u2019t do the things your business needs, for example, real-time AI processing.<\/span><\/li>\n<li><b>High costs<\/b><span style=\"font-weight: 400;\">, i.e. when it\u2019s cheaper to build a new system than to keep maintaining the old one.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Pros:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Zero technical debt<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Optimized system performance\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Competitive edge performance<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Cons:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">High risks<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Scope creep<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Large upfront investment<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Use case:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The Capital One bank relied on legacy code and instead of moving old apps to the cloud, they rebuilt the core infrastructure, using modern languages and APIs. It allowed the traditional bank to better compete with trailblazing fintech startups.<\/span><\/li>\n<\/ul>\n<div class=\"vendor-block vendor-block-not-p\">\n<div class=\"vendor-pic relative\">\n<div class=\"vendor-pic-content\">\n<picture><source srcset=\"\/blog\/wp-content\/uploads\/2026\/02\/Why-Your-Business-Needs-ChatGPT-Powered-Applications.png\" media=\"(max-width: 624px)\" \/><\/picture><picture><\/picture>\n<h2>Implement modernization of legacy systems<\/h2>\n<div class=\"btn-download-wrap\"><a class=\"btn btn-white\" href=\"https:\/\/aetsoft.net\/#quote\" target=\"_blank\" rel=\"noopener\"><span class=\"not-m\">Rely on our multi-year expertise to transform your business<\/span><span class=\"only-m\">Rely on our multi-year expertise to transform your business<\/span><\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n<div id=\"How agentic AI accelerates legacy software modernization\" class=\"anchor\"><\/div>\n<h2><span style=\"font-weight: 400;\">How agentic AI accelerates legacy software modernization<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">The <\/span><a href=\"https:\/\/aetsoft.net\/blog\/the-rise-of-agentic-ai\/\"><span style=\"font-weight: 400;\">agentic AI<\/span><\/a><span style=\"font-weight: 400;\"> has enhanced a number of business operations, and it also finds its feet in legacy system modernization. To wit, AI agents act as digital teammates, accompanying human developers at every stage of the migration \/ rebuilding and even executing complex transformation workflows independently.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/www.mckinsey.com\/capabilities\/quantumblack\/our-insights\/ai-for-it-modernization-faster-cheaper-and-better\"><span style=\"font-weight: 400;\">According to McKinsey<\/span><\/a><span style=\"font-weight: 400;\">, multi-agent systems for modernization can bring tangible benefits, such as a 40-50% acceleration in tech modernization timelines and a 40% reduction in costs (after the elimination of technology debt). Such measurable business impact is possible through automation in the following areas.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Reverse engineering<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">AI agents don\u2019t just analyze the legacy code, they reverse engineer it to comprehend the core business logic. Special crews of agents also go through millions of lines of code to generate up-to-date specifications, dependencies, and architecture diagrams. Besides, you can translate legacy languages as COBOL to Java with AI agents, thus allowing developers and stakeholders to validate rules before new code is generated.\u00a0<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Code conversion and refactoring<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Legacy software modernization is often split between specialized agents. An Architect Agent deals with the code structure, a BA Agent manages business rules, and a Developer Agent implements the actual migration.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Context-aware rewrites are also performed by agentic AI. By understanding the target environment, agents refactor the code with the best practices like turning synchronous calls to asynchronous or updating legacy APIs. If the code fails to compile, they autonomously spot the error, trace it back to the root cause, and fix it.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Automated testing<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Considering the fact that testing is often the most time- and resource-consuming phase of modernization, AI agents are here to help. QA agents are able to autonomously generate a huge number of test cases, perform regression tests, and validate transactional integrity after the migration is completed. What is particularly important, they create safe and realistic testing environments with synthetic data not to expose sensitive production data.<\/span><\/p>\n<div id=\"How Aetsoft can help with legacy modernization\" class=\"anchor\"><\/div>\n<h2><span style=\"font-weight: 400;\">How Aetsoft can help with legacy modernization<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">To effectively operate in a competitive business environment, where legacy application modernization is becoming a necessity, you can\u2019t dispense with the implementation of agentic AI. By leveraging advanced technology in this context, you can speed up the process and significantly increase efficiency.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">However, to do it right, you\u2019ll certainly need an expert in <\/span><a href=\"https:\/\/aetsoft.net\/services\/artificial-intelligence\/\"><span style=\"font-weight: 400;\">artificial intelligence<\/span><\/a><span style=\"font-weight: 400;\"> and <\/span><a href=\"https:\/\/aetsoft.net\/services\/machine-learning\/\"><span style=\"font-weight: 400;\">machine learning<\/span><\/a><span style=\"font-weight: 400;\"> like Aetsoft. From overarching consulting to full agentic AI system integration into your modernization process, we\u2019re here to assist, while delivering utmost security, resilience, and cost effectiveness. Rely on our competence in <\/span><a href=\"https:\/\/aetsoft.net\/services\/chatgpt-development\/\"><span style=\"font-weight: 400;\">ChatGPT development<\/span><\/a><span style=\"font-weight: 400;\"> and related spheres to bring your business to a brand new level. <\/span><a href=\"https:\/\/aetsoft.net\/\"><span style=\"font-weight: 400;\">Schedule a call<\/span><\/a><span style=\"font-weight: 400;\"> with our engineers to discuss your legacy system modernization endeavors.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">FAQ<\/span><\/h2>\n<h3><span style=\"font-weight: 400;\">What is the difference between RPA and Agentic AI in modernization?<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Robotic process automation (RPA) leverages a specific pre-described script to perform repetitive tasks. In software legacy modernization, it\u2019s usually used as a temporary bridge to connect old systems that lack APIs to new ones. Conversely, AI agents are goal-oriented and reasoning-based. They use <\/span><a href=\"https:\/\/aetsoft.net\/blog\/how-to-build-private-llm-guide\/\"><span style=\"font-weight: 400;\">large learning models<\/span><\/a><span style=\"font-weight: 400;\"> (LLM) to analyze the intent of legacy code and automatically rewrite it, while troubleshooting its own errors.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">How long does a typical AI-driven legacy modernization take?<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">This process typically takes from 6 months to 2 years, depending on the modernization scope. Still, agentic-fueled legacy modernization gives a 30%-50% acceleration as compared to traditional methods.\u00a0<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">What are the risks of using AI agents for code transformation?<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Although AI agents have proved to be effective in legacy application modernization, still they\u2019re certain risks like semantic drift (app logic loss), security issues (as AI is usually trained on public code), and compliance problems (in highly regulated industries). To prevent these challenges, partner up with an experienced AI development company.<\/span><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Our new blog post features how to implement legacy system modernization with AI agents to increase enterprise efficiencies, speed up&#8230;<\/p>\n","protected":false},"author":18,"featured_media":1859,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[7],"tags":[53],"class_list":["post-1855","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-ai"],"aioseo_notices":[],"acf":[],"_links":{"self":[{"href":"https:\/\/aetsoft.net\/blog\/wp-json\/wp\/v2\/posts\/1855","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aetsoft.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aetsoft.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aetsoft.net\/blog\/wp-json\/wp\/v2\/users\/18"}],"replies":[{"embeddable":true,"href":"https:\/\/aetsoft.net\/blog\/wp-json\/wp\/v2\/comments?post=1855"}],"version-history":[{"count":7,"href":"https:\/\/aetsoft.net\/blog\/wp-json\/wp\/v2\/posts\/1855\/revisions"}],"predecessor-version":[{"id":1866,"href":"https:\/\/aetsoft.net\/blog\/wp-json\/wp\/v2\/posts\/1855\/revisions\/1866"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aetsoft.net\/blog\/wp-json\/wp\/v2\/media\/1859"}],"wp:attachment":[{"href":"https:\/\/aetsoft.net\/blog\/wp-json\/wp\/v2\/media?parent=1855"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aetsoft.net\/blog\/wp-json\/wp\/v2\/categories?post=1855"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aetsoft.net\/blog\/wp-json\/wp\/v2\/tags?post=1855"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}