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Synlets

Synlets is an agentic coding platform that turns Jira/GitHub or GitLab tickets into working pull requests, from planning to PR review.

Synlets

What is Synlets?

Synlets is an agentic coding platform that turns software tickets into working pull requests. It assigns tickets to AI agents (or engineers) so work can move from planning to technical implementation and into PR review.

The core purpose is to reduce the operational friction around ticketing, clarifying requirements, writing code, and coordinating PR review—so teams can focus on higher-impact engineering work.

Key Features

  • Ticket-to-PR workflow: Generate tickets, assign them to AI agents, and produce pull requests as the outcome of the development cycle.
  • Context-aware ticket creation: Create well-defined tickets in plain language; the agent pulls context from your codebase, documentation, and existing tickets.
  • Repository connectivity: Link GitHub or GitLab repositories so agents can work within your existing development setup.
  • Jira workflow mapping: Connect Jira and map workflow statuses for automatic updates as work progresses.
  • Knowledge ingestion: Add documentation sources (e.g., Confluence) to provide better context for ticket understanding.
  • PR review and iteration: Agents handle PR-related work, including providing preliminary review content and responding to feedback iteratively.
  • Reporting and visibility: Produce insights and reports on what shipped, progress, and code quality/security posture based on the tracked work.

How to Use Synlets

  1. Sign up and create a project to organize your repositories and AI agents.
  2. Connect your GitHub or GitLab repositories.
  3. Connect Jira and configure the workflow/status mapping for how tickets should move.
  4. Choose an AI provider and configure agent behavior.
  5. (Optional) Add knowledge sources such as Confluence documents to improve context.
  6. Create tickets (or generate them via plain-language input), then assign them to an agent; monitor the resulting PRs and review updates.

Use Cases

  • PM-led change requests to unblock delivery: A product manager creates well-defined tickets, assigns them directly to AI agents for implementation, and avoids waiting behind engineering queue prioritization.
  • Engineering leads handling routine work: An engineering lead drafts technical tickets for bug fixes or small-to-medium improvements and assigns them to agents so engineers can focus on complex problems.
  • Executives tracking delivery without extra coordination: A stakeholder checks project status, progress, and delivery insights without repeatedly asking engineers for updates.
  • Security- and standards-oriented PR review support: For teams with coding standards, agents review PRs against specified guidelines and produce automated checks as part of the workflow.
  • Developers accelerating review cycles: Agents provide preliminary PR review content quickly, so senior engineers can focus on higher-level correctness and architectural decisions.

FAQ

  • What kind of work does Synlets handle? Synlets is designed to take tickets through code implementation and PR review steps, including tasks like code improvements, bug fixes, small-to-medium feature work, and PR management.

  • Which systems can it integrate with? Based on the site, Synlets integrates with Jira, GitHub, GitLab, Confluence, Notion, and other tools listed as integrations (e.g., Anthropic and other AI providers shown on the page). Slack is marked as “Coming Soon,” and a few other items are listed as “Coming Soon.”

  • Can engineers stay in control of PR review? The product positions engineers as staying in control: agents can generate preliminary reviews and create PRs, while engineers review and approve as needed.

  • How does it understand what to build? The agent pulls context from the codebase, documentation, and existing tickets to help write a ticket that is ready to assign and to guide the implementation.

  • What output should I expect? The primary output described is a working pull request created from a ticket, along with review and reporting updates.

Alternatives

  • AI coding agents that generate pull requests from prompts/tickets: These focus on agentic code generation, but may rely more on user-provided context rather than structured ticket + workflow integration.
  • CI/CD and automation platforms that streamline development workflows: These can reduce manual steps (e.g., testing, status updates), but typically do not convert tickets into code and PRs end-to-end by themselves.
  • Ticketing and issue-to-workflow tooling (without agentic coding): Tools that manage Jira workflows and visibility help with tracking and coordination but generally require humans to implement changes.
  • Static analysis and automated code review tooling: These can improve quality and consistency during PR review, but they don’t perform the ticket-to-implementation coding loop described for Synlets.