
Synlets
Synlets is an AI-powered autonomous software development platform that handles the full development cycle from ticket creation to code review by converting natural language tickets into working pull requests.
https://www.synlets.com/?ref=producthunt

Product Information
Updated:Feb 28, 2026
What is Synlets
Synlets is an innovative agentic coding platform that acts as an AI team member for software development teams. It integrates with popular tools like Jira, Asana, GitHub, GitLab, Confluence, and Notion to streamline the development process. The platform is designed to address common challenges in software development, such as limited engineering bandwidth, lengthy development queues, and inefficient ticket management, by providing AI agents that can autonomously handle various development tasks.
Key Features of Synlets
Synlets is an AI-powered autonomous software development platform that handles the full development cycle from ticket creation to code review. It allows teams to assign development tasks to AI agents that can generate tickets, implement code changes, create pull requests, and perform code reviews. The platform integrates with common tools like GitHub, GitLab, Jira, and Asana, working alongside human engineers to increase development velocity while maintaining code quality.
Autonomous Ticket-to-PR Pipeline: AI agents automatically convert plain language descriptions into well-defined technical tickets and implement them as working pull requests
Intelligent Code Review: Automated review system that checks code against team standards, security policies, and architectural guidelines while providing detailed feedback
Project Analytics & Insights: Real-time reporting on project progress, code quality, security posture, and team velocity with AI-powered recommendations for improvements
Multi-Tool Integration: Seamless integration with popular development tools including GitHub, GitLab, Jira, Asana, Confluence, and Notion
Use Cases of Synlets
Small Team Productivity Enhancement: Helps small development teams multiply their output without hiring additional engineers by automating routine tasks
Enterprise Development Operations: Streamlines large-scale development operations by providing automated code review, compliance checking, and progress tracking
Product Management Acceleration: Enables product managers to create and implement minor feature changes without waiting for engineering bandwidth
Pros
Reduces development bottlenecks by automating routine tasks
Provides 24/7 development capacity without additional hiring
Maintains high code quality through automated reviews and standards enforcement
Cons
Requires initial setup and integration configuration
May need human oversight for complex architectural decisions
Usage-based pricing (ACU credits) might be unpredictable for some teams
How to Use Synlets
Sign up and Create Project: Go to app.synlets.com and create a free account. Set up a new project to organize your repositories and AI agents.
Connect Repositories: Link your GitHub or GitLab repositories that you want the AI agents to work with.
Configure Ticket System: Connect your ticket management system (Jira or Asana) and map workflow statuses for automatic updates.
Set Up AI Configuration: Choose your preferred AI model (Claude Haiku 4.5 or Claude Opus) and configure agent behavior settings.
Add Knowledge Sources: Connect documentation from Confluence or Notion to provide better context for the AI agents.
Create Tickets: Create well-defined tickets in plain language describing what you need done.
Assign to AI Agents: Assign tickets directly to AI agents who will automatically pick them up and start working.
Review and Approve: Engineers review the AI-generated pull requests, provide feedback if needed, and approve changes for merging.
Monitor Progress: Track progress through the platform's analytics and generate reports on delivery, code quality, and security.
Synlets FAQs
Synlets supports Claude Haiku 4.5 for fast, cost-effective work, and Claude Opus 4.5 and 4.6 for complex reasoning and architectural decisions. Users can switch models per project at any time.











