Overview
The SDLC Bottleneck
Enterprise engineering teams lose time at every handoff: requirements get reinterpreted between business and engineering, developers spend more hours reading unfamiliar code than writing new code, and test coverage lags release schedules. Most delivery slowdowns don't come from a lack of skilled people, they come from the manual, repetitive work sitting between each stage of the SDLC.
SoftSpell - AI Agents Across the Full Lifecycle
SoftSpell pairs specialized engines with a layer of orchestration agents, so work started in one stage carries cleanly into the next:
ReqSpell - Requirements Engineering
Converts business requirements into structured, engineering-ready artifacts
Surfaces legacy business logic, dependencies, and system knowledge for teams modernizing older systems
Gives both business and engineering a shared, unambiguous starting point
CodeSpell - AI-Powered Development
Agent works autonomously across coding tasks: understanding existing code, implementing changes, resolving issues, and raising pull requests
Integrates directly with your code repository, so changes flow into your existing workflow rather than a separate tool
Generates production-ready code rather than boilerplate scaffolding
Converts Figma designs directly into working front-end code
TestSpell - AI-Assisted Testing
Generates test cases based on user stories/API documentation
Expands coverage without adding manual QA headcount
When the Agent triggered IT Validates the codebase and make the changes in testcases automatically
Orchestration, With Humans Still in Control
The agents pass context to one another across requirements, development, and testing, but nothing ships without a human checkpoint. Engineers and reviewers approve key outputs at each stage, SoftSpell removes the repetitive work.
Aspire System’s - Delivery Model
Discover - Requirements intake and legacy system analysis via ReqSpell
Build - AI-assisted development through CodeSpell's agent, with engineers reviewing and directing output
Validate - Automated test case generation and coverage expansion via TestSpell
Deploy - Production readiness checks and release support
Modernize (where applicable) - Legacy logic extraction and migration planning for teams modernizing existing applications
Aspire's engineers remain the ones making architectural and quality decisions throughout, SoftSpell accelerates the work between those decisions.
This service is delivered on AWS, with specific AWS services selected based on each engagement's architecture and requirements, spanning compute, containers, serverless, developer tools, and CI/CD across the AWS portfolio.
Highlights
- AI-Led SDLC Automation: ~50% faster SDLC and 3× faster feature delivery and ship cycles with specialized AI agents.
- Legacy Modernization: Accelerate legacy application understanding and modernization, with ~25% reduction in overall project costs.
- Design-to-Code & Quality: Transform Figma designs into production-ready code with up to 70% fewer design-to-code defects and ~30–50% lower manual testing effort.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
Custom pricing options
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Email ID: partnerships@aspiresys.com
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