RapidX™ redefines software engineering by acting as an AI catalyst, enhancing human expertise with advanced intelligence. It seamlessly integrates AI into software development, driving AI-powered build, maintenance, and modernization.
Build | Maintain | Modernize with Generative AI
Build with Cognitive Mesh: AI-Woven Software Development
Complex Tapestry
Software development is complex—interweaving product strategy, architecture, engineering, & business objectives.
AI-Powered Velocity
RapidX™ uses AI-powered automation—understanding code, industry landscape, and strategic intent to simplify & accelerate development.
Cognitive Mesh
RapidX™—a Cognitive Mesh weaves every functional thread intelligently, creating an AI-driven, context-aware system for speed and quality.
Roadblocks to Scalable, Efficient Software Development
Enterprise applications are complex, interconnected ecosystems—spanning diverse tech stacks, legacy systems, COTS solutions, and internal platforms. Delivering high-quality software requires rigorous architecture, structured design, and adherence to engineering standards, yet fragmentation, inefficiencies, and technical debt slow progress.
Lack of detail in specifications and backlogs causes misalignment, rework, and scope confusion. Missing details lead to repeated clarifications, slowing development.
Poor estimates result in rushed development, resource misallocation, and last-minute defects. Delayed effort estimates enable scope creep, while missing impact analysis causes regressions, technical debt, and hidden dependencies.
Incomplete or suboptimal designs lead to scalability issues, frequent redesigns, and high maintenance costs. Short-term fixes create long-term complexity.
Development is slowed by technical debt, redundant work, poor code quality, and excessive rework. Flaky unit tests, sluggish code reviews, lack of mentorship, and too many clarification meetings drain productivity.
New developers struggle due to scattered knowledge, increasing ramp-up time and reliance on SMEs for critical context.
Roadblocks to Scalable, Efficient Software Development
AI Agents Orchestrating Every Stage of Software Development
RapidX™ embeds AI-powered virtual project gurus into development workflows—acting as trusted allies to your project teams. Trained in your application landscape, engineering principles, and best practices, they streamline execution without compromising quality.
AI assists in solution design, architectural decisions, and implementation planning, ensuring scalability, reuse, and alignment with enterprise standards.
AI refines epics, user stories, and estimations, keeping feature development aligned with business intent and execution predictable.
AI strengthens engineering workflows with test generation, regression automation, and system-wide reliability checks.
Maintain with Cognitive Continuity: AI-Driven Ongoing Engineering
Software Must Evolve
Software isn’t just built—it must evolve intelligently while staying robust. Without discipline, it grows complex & inefficient.
Cognitive Continuity
RapidX™’s Cognitive Continuity is an AI-driven ecosystem that ensures every modification aligns with best practices and system health.
Engineers’ Allies
RapidX™’s AI agents are Engineers’ Allies trained on your IT portfolio—delivering AI-driven software continuity and maintenance at scale.
Roadblocks to Ongoing Engineering: From Technical Debt to Deployment Delays
Insufficient impact analysis and frequent changes can break existing functionality, causing regressions and repeated fixes. Quick fixes accumulate technical debt, while unoptimized legacy code slows system performance.
New developers face a steep learning curve due to poor documentation while departing employees leave critical knowledge gaps. Inconsistent practices across teams lead to redundancy and errors.
Unclear dependencies delay feature rollouts, forcing engineers to spend time on workarounds instead of innovation. Poor dependency tracking further stalls system updates, creating release bottlenecks.
Slow root-cause analysis extends downtime, frustrating customers and impacting SLA compliance. With more time spent firefighting issues, overall system improvements suffer, leading to higher costs.
Limited test coverage in hybrid and legacy environments restricts testing scope, while weak automation delays bug fixes. Gaps in end-to-end testing increase the risk of production rollbacks and costly fixes.
Even minor updates in legacy systems can cause disruptions, leading to high change costs. Compliance challenges arise as outdated systems struggle to meet evolving regulations, while security vulnerabilities grow due to difficulties in patching defects.
Roadblocks to Ongoing Engineering: From Technical Debt to Deployment Delays
AI Agents Powering Software Evolution and IT Continuity
RapidX™ Cognitive Continuity integrates AI-driven engineering agents that deeply understand an organization’s application codebases, system interdependencies, connectivity, data flows, and embedded business logic. Trained on institutional domain knowledge, these agents take on specialized roles to drive structured, intelligent software evolution.
Some agents perform Ripple Effect Analysis, evaluating the downstream impact of changes and generating precise implementation plans. Others provide accurate estimations for large-scale upgrades, ensuring efficient resource planning. AI agents dedicated to troubleshooting and bug replication swiftly identify, diagnose, and resolve complex issues, minimizing disruptions. Meanwhile, quality enforcement agents uphold engineering guardrails, ensuring all modifications align with original design principles and architectural best practices.
By orchestrating the AI agents through Agentic AI, RapidX™ eliminates bottlenecks, accelerates IT productivity, and creates a seamless, continuous engineering ecosystem that future-proofs software evolution.
Modernize with Cognitive Modernization: AI-Powered Legacy Transformation
Legacy Challenges
Legacy systems—mainframes, older client-server architectures, and outdated middleware—are costly to maintain with a shrinking talent pool.
Modernize with AI
RapidX™ simplifies modernization with Generative AI—identifying business logic, mapping dependencies, and extracting critical insights.
Blueprint for Change
RapidX™ AI Agents help create a structured blueprint for modernization—including architecture designs, transformation roadmaps, and more.
The True Cost of Legacy Systems
According to a report by Flexera, organizations spend up to 70% of IT budgets on maintaining legacy systems. Costs keep rising due to licensing, outdated hardware, and complex fixes.
Mainframe expertise is rapidly declining. With 60% of specialists over the age of 50 and retiring quickly, the shortage of skilled professionals is making legacy system maintenance increasingly difficult and expensive.
Many legacy systems were built with minimal documentation and rely on a few experts for critical knowledge. When they leave, essential insights are lost, increasing the risk of disruptions.
Legacy technology quietly hinders growth. While competitors advance with AI, cloud, and automation, outdated systems prevent businesses from seizing key opportunities to scale and innovate.
In today’s interconnected business landscape, outdated architectures struggle to integrate with modern ecosystems. This lack of compatibility with cloud platforms, APIs, and new technologies leads to inefficiencies and scalability challenges.
Aging systems are increasingly vulnerable to failures, security breaches, and compliance risks. Each outage, security gap, or workaround poses a potential business disruption.
Regulations constantly evolve, but legacy systems struggle to keep up. Non-compliance can result in hefty fines, legal issues, and reputational damage.
The True Cost of Legacy Systems
AI Agents That Help You Modernize with Confidence
RapidX™ AI Agents conduct deep code analysis, using reverse engineering to decode undocumented legacy systems (such as mainframe, older client-server technologies, older middleware technologies) and uncover hidden dependencies, dead code, data lineage, and critical business logic. It goes beyond surface insights by mapping process flows, interlinking business rules, and analyzing data forensics. This intelligence enables IT and business teams with critical insights needed to shape their modernization strategy and move to microservices, cloud-native technologies, etc.
Modernization requires business scenario alignment and architectural clarity—RapidX™ AI SMEs enable both.
- Business Blueprinting: AI SMEs help business teams mine existing relevant scenarios and process flows while defining new ones, ensuring modernization aligns with real business needs.
- Architecture Blueprinting: AI SMEs define enterprise, solution, and technical architecture, covering application components, integration, and interdependencies.
RapidX™ AI Agents empower engineers, architects, and product teams, actively guiding development and modernization.
- Product Agents: Create a prioritized roadmap with estimations, themes, epics, and stories, ensuring it is functionally rich, domain-aware, and technically precise for seamless execution.
- Engineering Agents: Create solution designs, define features, and implementation paths, ensuring technical feasibility and alignment with business needs.
- QA Agents: Generate test cases, automate regression testing, and validate functionality for reliability.
Case Studies
FAQs
RapidX™ puts agentic AI at the heart of modern software engineering. AI agents read legacy code, draft architecture blueprints, and generate features from plain-language prompts. Teams move from Minimum Valuable Demonstration (MVD) to production in weeks, cut technical debt early, and keep governance intact. This build-maintain-modernize loop replaces slow, linear SDLCs with an AI-native workflow built for scale and resilience.
RapidX™ treats plain English as executable specs, converting stories or voice input into code. Acceleration happens through these AI steps:
- Virtual “guru” agents extract business rules and craft design blueprints
- Development agents assemble code blocks and unit tests automatically
- Validation agents run autonomous quality checks, delivering real-time feedback
Natural-language coding removes syntax barriers, boosts developer productivity, and slashes hand-off delays across teams.
Enterprises see measurable gains in speed, cost, and quality. Key advantages include:
- Ten-times faster delivery from AI-powered build pipelines and cognitive mesh orchestration
- Up to 70 percent cost savings by trimming manual effort and reducing rework
- Fifty percent fewer defects thanks to autonomous testing and ripple-effect analysis
- Seamless legacy modernization that extracts logic, maps dependencies, and generates future-ready blueprints without lengthy rewrites
Yes. Intelligent adaptive maintenance keeps software healthy after go-live. AI agents monitor code bases, perform impact analysis, and suggest fixes before issues hit production. Automated knowledge capture removes silos, while continuous quality gates ensure every enhancement aligns with performance and security standards. This cognitive continuity lowers support costs, shortens enhancement cycles, and guards against skill-gap risks in evolving digital ecosystems.
Hexaware pairs decades of enterprise delivery with RapidX™ to provide a turnkey AI-native platform. Clients receive startup-style innovation squads, cognitive mesh design, and automated DevOps that work across industries—finance, healthcare, manufacturing, and more. With proven outcomes such as 10× faster releases and 70 percent lower cost, Hexaware delivers secure, governed solutions that keep your business ahead in the age of AI-driven software development.
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