FRIDA
GenAI agents for
modern engineering

FRIDA is Softtek’s intelligent automation platform for AI-powered service delivery, covering every stage of the software development lifecycle (SDLC) through its GenAI agents and copilots.
Our GenAI agents
for software engineering
We add intelligence to workflows across the SDLC—boosting productivity, improving quality, and raising the ceiling on what teams can achieve.
Ideation
Your next big idea.
Requirements
Pain points
- Breaking down requirements into user stories, test cases, and criteria takes weeks and eats up valuable sprint time.
- Important conversations get delayed, causing rework down the line.
- Teams lose momentum bouncing between tools like Jira, spreadsheets, and shared docs.
FRIDA Product Planner
Instantly generates detailed user stories, epics, test cases, and acceptance criteria. Fits into tools your teams already use and connects directly with Jira and others.
- Generate context-aware user stories and epics
- Auto-flag out-of-scope elements
- Build acceptance criteria and testware early
- No new logins—just a smarter Excel add-in
Design
Pain points
- Teams only have time to try a few design variations per sprint.
- Designers spend too much time on tasks like component cleanup and writing UI copy.
- Design systems exist, but adoption is manual and inconsistent.
FRIDA Design Assistant
A Figma plugin for web and desktop that speeds up design ops with AI-powered support for layout, color, copy, and assets.
- Save and reuse components across projects
- Get AI-generated copy for faster handoffs
- Suggest color palettes and icon sets on the fly
- Export everything devs need in just a few clicks
Development
Pain points
- Developers spend hours translating design specs into code.
- No consistent way to test front ends against design expectations.
- Even small UI tweaks can delay a full release.
Figma2FRIDA
Auto-generates production-ready code from design files—reducing manual work and tightening handoff between design and dev teams.
- Turn Figma files into Flutter, React, Kotlin, or Angular code
- Plug-and-play component engine with Git integration
- Design token support for visual consistency
- Cut front-end dev time by up to 40%
Pain points
- Custom component libraries take serious time to manage and apply.
- Tasks like refactoring, documentation, or regex pull focus away from development.
- Most AI coding assistants lack the control and context enterprise teams need.
FRIDA Code Copilot
Automates repetitive tasks across the SDLC with just the right level of control. It understands context and adapts to your standards —turning hours of cleanup into clean code in minutes.
- Generate code from natural language
- Refactor, parallelize, and translate code on command
- Create and explain regex and test cases
- Reduce cyclomatic complexity
- Optimize across languages and frameworks
Testing
Pain points
- Unit tests are incomplete, inconsistent, or hard to scale.
- Security and compliance checks come late in the cycle.
- Junior devs struggle to write high-quality test cases.
FRIDA ITA (Intelligent Test Automation)
Accelerates and scales high-quality testing with AI-generated artifacts, reusable code, and intelligent test coverage.
- Auto-generates unit tests across languages and frameworks
- Produces millions of synthetic data points for secure, scenario-rich testing
- Integrates with internal KBs to enhance test logic and coverage
- Accepts custom prompts (additional instructions) to tailor test cases
- Automates test documentation for faster onboarding and compliance
Deployment
Pain points
- Pull requests take too much time from senior developers.
- Code quality, documentation, and version control are hard to maintain under pressure.
- Bugs and security issues often slip through right before deployment.
FRIDA Code Guard
Analyzes every pull request to flag issues, summarize changes, and auto-generate documentation. It reduces review load on senior devs and adds a layer of quality control before code hits production.
Testing, Deployment, Review, Maintenance
Pain points
- Devs spend hours manually reviewing and navigating unfamiliar codebases
- Not all devs are fluent in every language used in the project
- Documentation lags behind the code, or contradicts it.
- Vulnerabilities and errors slip through in large migrations or updates.
FRIDA Large Scale Code Changes
Helps teams review, migrate, and document entire codebases across languages, branches, and repositories. Whether refactoring legacy systems or starting a new development track, FRIDA handles the heavy lifting and flags what matters.
- Auto-analyze legacy and multi-language codebases
- Generate clean documentation in .docx and markdown formats
- Suggest migration paths and required changes
- Chat with your files to get instant answers
- Built-in Git integration for seamless commits and branch creation
The principles
behind FRIDA
Add more people
^Empower
GenAI Agents help enterprises move from labor-based scaling to technology-driven productivity—boosting impact, not headcount. Learn more
Think outside the backlog
We used to think GenAI agents would help teams shrink their backlogs faster. And while that’s true, it’s only part of the story.
In practice, we’ve seen something surprising: when delivery speeds up, clients start asking for more. Features, improvements, and ideas that once felt too complex or time consuming are back on the table. Because now, they trust it’ll get done.
With FRIDA, the backlog doesn’t go away; it becomes a launchpad.
We make software engineering
No steep learning curves. No failed adoptions. FRIDA plays nice with your tech stack and processes, so delivery moves faster from day one.
Context-aware tools, reusable components, and predictive insights—these are the ingredients behind clever tech arbitrage.
FRIDA pairs perfectly with shift-left testing, DevOps pipelines, and EverythingOps execution—so quality and speed scale together.