AI Code Generation Platform (Jira-to-Code Workflow)
Convert requirements into code—faster and more consistently
EasiioDev is building an AI code generation platform that helps teams translate structured requirements (e.g., Jira tickets) into working code changes: implementation, tests, and review-ready pull requests.
Project entry point: https://aicodegen.easiiodev.ai/
What It Does
Streamline your development workflow with AI-powered automation
Reads Tickets
Jira or structured requirements are parsed and understood by the AI system.
Analyzes Repository
Examines your codebase and identifies relevant modules for changes.
Proposes Implementation Plan
Creates a step-by-step approach before generating code to reduce mistakes.
Generates Code Changes + Tests
Produces working implementation along with comprehensive unit tests.
Creates PR-Ready Output
Delivers diff + explanation ready for pull request submission.
Supports CI/CD Workflows
Integrates with your continuous integration and deployment pipelines.
Ideal Use Cases
Scenarios where AI code generation delivers maximum value
Feature Implementation
Features with clear acceptance criteria are perfect for AI-assisted development, ensuring consistency and reducing manual coding effort.
Bug Fixes
Fix bugs from reproducible steps with AI-generated patches that address root causes effectively.
Test Generation
Automatically generate comprehensive unit tests aligned with acceptance criteria and edge cases.
Refactoring Support
Improve code quality and maintainability with AI-suggested refactoring patterns and optimizations.
Internal Tool Scaffolding
Quickly generate CRUD operations, endpoints, and integrations for internal tools and utilities.
Core Capabilities
What makes our AI code generation platform powerful
1) Repo-Aware Code Generation
Understands your codebase patterns, project structure, and conventions to generate code that fits seamlessly with existing code.
2) "Ticket to Plan to PR"
Creates a step-by-step plan before generating code, allowing review and adjustment to reduce mistakes and ensure alignment.
3) Test Generation
Generates unit tests aligned to acceptance criteria, covering edge cases and expected behaviors automatically.
4) Developer-in-the-Loop Control
You decide what to accept, modify, or reject—reducing risk and maintaining control over the codebase.
5) Open Source Direction
We plan to release an open-source version soon, with optional enterprise enhancements for governance, integrations, and observability.
Typical Workflow
From ticket to pull request in 5 steps
Provide Ticket + Context
Submit ticket text, links, specs, and acceptance criteria to the system.
Identify Impacted Modules
System analyzes your repository and determines which files and components need changes.
Generate Plan & Confirm
AI generates an implementation plan and confirms assumptions before writing code.
Generate Code & Tests
Creates the actual code changes and corresponding unit tests automatically.
Output PR Package
Delivers pull request with diff, explanation, and summary for team review.
Integration Options
Seamlessly connect with your existing tools and workflows
Jira
Direct integration with Jira for ticket management and status updates
GitHub / GitLab
Seamless integration with version control and pull request workflows
CI Pipelines
Support for GitHub Actions, GitLab CI, and other CI/CD tools
Slack Notifications
Optional alerts and updates directly to your Slack channels
API Automation
RESTful API for building custom integrations with internal tools
Want to Pilot the Platform?
Get started with AI-powered code generation for your team
Please provide the following information:
- Repo type + tech stack
- Sample Jira ticket(s)
- Expected output format (PR/diff/patch)
- Security constraints (private repos, access model)
Frequently Asked Questions
Everything you need to know about our AI Code Generation Platform
Does it replace developers?
No—best results come from developer-guided workflows, where AI accelerates implementation and testing while developers provide oversight and expertise.
Can it follow our coding standards?
Yes—by providing conventions, linters, and repository context, the AI adapts to your team's coding standards and practices.
What programming languages are supported?
The platform supports major programming languages including JavaScript, Python, Java, C#, Go, and more. Language support continues to expand.
Is our code secure?
Yes. We maintain strict security protocols, and your code is never used to train public models. Private repos remain private.
How accurate is the generated code?
The system generates code based on your repository patterns and best practices. Developer review is part of the workflow to ensure quality and correctness.
Get Started Today
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