AI-Native Delivery
Build, orchestrate, and scale AI agents and workflows across the entire SDLC — from planning to deployment.
Unite intelligent assistants, multi-agent workflows, integrations, and project knowledge — all in one platform.

by Codemie Team
AI that crafts and delivers responsive email campaigns. Generates HTML responsive format for newsletter emails using best marketing techniques and sends them to defined email addresses.

by Codemie Team
AI-powered architectural design, system analysis, and technical documentation. Guides teams through design decisions, creates system diagrams, and maintains architectural documentation.

by Codemie Team
AI business analyst for efficient Jira ticket generation and requirements management. Analyzes requirements, clarifies questions, and creates structured tickets in Jira with detailed descriptions.

by Codemie Team
Intelligent coding assistant integrated with JetBrains IDE for rapid, accurate implementation. Provides code suggestions, refactoring assistance, and automated code generation.
Smart coding assistant with JetBrains IDE for quick implementation

Create custom AI agents tailored to your workflow

Let multiple AI agents collaborate on complex tasks

Give your assistants structured access to your entire project
Equip your AI agents with custom knowledge bases — index Git repos, Jira tickets, Confluence pages, docs, and files. Manage context and combine sources for smarter responses.

Connect your stack. Automate every step.
Make your work easier and smarter with automated workflows for every stage of software delivery.

Turn business needs into structured requirements, user stories, and well-defined scope. Accelerate stakeholder alignment and backlog grooming.
Speed up developer ramp-up with codebase guidance, project context, and team best practices—all accessible through intelligent assistants.
Transform architectural vision into reality with AI-assisted standards-based design, technology assessment, and automated Mermaid diagrams.
Boost development speed with AI-powered code exploration, automated implementation, instant code reviews, and CLI productivity tools.
Automate test case creation, streamline bug tracking, and validate releases with AI-driven quality workflows.
Streamline every stage of your delivery pipeline with AI-powered setup, monitoring, CI/CD automation, and deployment management.
Connected workflows for end-to-end modernization — not isolated tools.

AICE (AI Code Exploration) transforms your source code into a highly connected Knowledge Graph using a multi‑level Unified Graph Data Model.
By combining deep static code analysis with semantic analysis powered by Large Language Models (LLMs), it builds a rich, interconnected representation of your codebase that captures real relationships and dependencies between components.
You can plug this Knowledge Graph into your AI agents so they query true structural and semantic links — rather than relying only on full‑text or similarity search — enabling deeper exploration of code dependencies, structures, and behaviors, and delivering more accurate, trustworthy results.

MFLens (AI/RUN Mainframe Lens) is an AI-powered solution that accelerates the analysis, visualization, and modernization of complex legacy mainframe applications. By automating code structure mapping and business rule extraction from COBOL, JCL, and related mainframe assets, MFLens enables developers, architects, and modernization teams to quickly understand application logic and dependencies.
This tool reduces modernization risks and costs, preserves critical business logic, and allows teams to work in parallel — delivering results up to 8 times faster than manual approaches. With interactive visualization and AI-assisted code queries, MFLens brings agility and transparency to mainframe transformation projects.
Mainframe modernization with AI-powered analysis and code transformation
Deep codebase exploration for understanding legacy systems at scale
Smart technology recommendations and architecture guidance
Automated test generation for modernized applications
20+ proven migration patterns for cloud, framework, and language transitions
End-to-end chains validated in real delivery—not demos
Built-in measurement tracking productivity gains
Fixed-price delivery methodology with predictable economics
Multi-agent orchestration for complex modernization scenarios
An AI-powered automation platform that transforms your organization work — from software delivery to business operations, finance to HR, marketing to legal. Build agents, automate workflows, and integrate with 50+ business tools.

AI agents for finance, operations, support, HR, legal, and sales workflows
Built-in governance, monitoring, and quality control for production AI
Design personalized assistants or deploy community solutions instantly
Orchestrate specialized AI agents that collaborate on complex business tasks
Powering AI-native workflows across enterprises and tech organizations.
Strategic Partner for GenAI Migration & Modernization
Together with AWS, we drive the future of AI-native enterprise transformation. Our strategic partnership accelerates migration and modernization initiatives, harnessing generative AI to unlock scalability, innovation, and continuous modernization.
Accelerating Healthcare Innovation with AI & AWS
In collaboration with AWS, we're powering a large-scale migration and modernization journey for Philips Healthcare. By integrating AI-native software development lifecycle (SDLC) practices, we enable faster, safer, and smarter healthcare technology delivery.
Pioneering AI for Government Services
Trusted by Ukraine's Ministry of Digital Transformation to deliver advanced AI solutions across multiple government domains—including Diia Business and Diia. Our work enhances the digitalization of public services, improving efficiency and accessibility for millions.
AI-Native SDLC for Business Transformation
Helping Dawn Foods lead in digital transformation by integrating and scaling AI-native SDLC processes. We empower their teams to leverage artificial intelligence for faster innovation, better decision-making, and a future-ready enterprise.
Find answers to common questions about CodeMie and get the essentials you need to get started.
CodeMie revolutionizes software development, project management, and business analysis by integrating state-of-the-art AI-assistants into workflows. It enhances operations across various use cases and facilitates seamless integrations with multiple data sources and third-party tools.
Follow this page CodeMie Guide & Instructions for comprehensive documentation and step-by-step tutorials.
The most simple use cases to start working with CodeMie are the following:
Code exploration
Configure your Git token, add your repository, create an assistant based on "[Template] Project Onboarding Assistant" with indexed repo as context, and start chatting with your codebase.
Jira automation
Read, create, update issues, change statuses, log time and add comments in Jira. For this you need to configure your Jira token in integration, after that you can create an assistant based on the template "[Template] Epic/User story Composer" and start working with your Jira.
FAQ helper
Create your FAQ helper. You will need to create a Google Document as described in CodeMie documentation, add it via Add new Data Source and create an assistant based on the template "[Template] Project Onboarding Assistant" with a Datasource Context set to create a Data Source.
To start your journey with CodeMie, simply reach out to our team by sending an email to AskCodeMie@epam.com. Please include information about your business needs, use cases you'd like to cover, or any specific details on where the CodeMie platform could provide value.
If you'd like to see CodeMie in action, you can also request a live demonstration by contacting us at CodeMieDemo@epam.com.
