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Assign user stories directly to @Klority Sage. Sage loads your Project Wiki PRDs into memory, asks questions directly in ticket comments, writes code and matching QA test suites, and opens verified Merge Requests.
Wiki > Architecture > Payments_Spec_v2.md and Schema > subscriptions.ts into active memory.
The acceptance criteria specifies retrying webhook events on 5xx failures. Should we fail-open or mark the transaction as pending_review if Stripe sends an invalid signature header?
Mark as pending_review, log a security audit event, and return a 400 Bad Request to Stripe.
Understood. Implementation complete with 5 passing unit tests:
From story assignment to verified pull request — zero prompt babysitting.
Drag any user story or bug fix on your Kanban board to Sage. Sage acts as a persistent System AI User on your project roster.
Sage pulls the relevant Product Requirement Documents, architecture Mermaid diagrams, and DB schemas directly into context memory.
When requirements are ambiguous, Sage posts a question on the card. Your team answers inline without switching tools.
Sage writes the feature implementation AND the matching QA test suite, executing tests in an isolated sandbox until 100% green.
Sage pushes a clean branch to GitHub, GitLab, or Bitbucket and opens a Merge Request pre-linked to the sprint card for review.
Your senior engineers spend their time reviewing high-confidence PRs instead of writing repetitive boilerplate code.
Why an autonomous sprint teammate beats interactive chat windows.
| Capability | Generic Claude + MCP | Cursor / Devin | Klority Sage |
|---|---|---|---|
| Workflow Model | Synchronous chat prompts | IDE editor autocompletion | Asynchronous Sprint Teammate |
| Business Memory | Manual MCP file links | Local syntax only | Full Project Wiki (PRDs + Specs) |
| Ambiguity Resolution | Halts in private terminal | Guesses / Hallucinates | Comments directly on ticket |
| Quality Assurance | Raw code diff only | Unverified code | Code + Verified QA Test Suite |
| Output Artifact | Console output | Local git diff | Git Branch + Verified MR |
Everything you need to know. Click a question to expand the answer.
Klority Sage is an autonomous AI software engineer delivered as a native extension in Klority. When enabled on a project, Sage becomes a System AI User on your sprint board. You can assign user stories directly to Sage, and Sage reads the Project Wiki, writes the implementation code, generates matching QA test suites, and opens a verified Merge Request.
Generic AI coding assistants hallucinate because they only see raw code syntax without knowing the business context. Klority Sage has full in-memory access to your Project Wiki (PRDs, architectural specs, and database schemas). Because it is grounded in your actual product requirements, it writes code that satisfies business acceptance criteria, not just compiler checks.
Sage doesn't guess or fail silently. It operates with a human-in-the-loop clarification flow: it posts a comment directly on the sprint ticket asking the team for guidance (e.g., 'Should the payment webhook retry on HTTP 500 or mark as pending?'). The developer or product manager replies inline on the ticket, and Sage resumes execution.
Claude + MCP and Cursor are interactive tools for a single developer sitting in a private terminal or chat window typing prompts. Klority Sage is an asynchronous virtual teammate that lives on the team's sprint board. You assign the ticket, walk away, and Sage writes the code AND the matching QA tests, opens the Git branch, and submits a clean Merge Request with passing test reports.
Sage integrates natively with GitHub, GitLab, and Bitbucket. It checks out your repository in an isolated environment, creates a dedicated branch (e.g. feat/sage-104-webhook), runs unit/integration tests, and opens a formal Pull Request or Merge Request for your engineers to review.
Klority Sage is available as a modular extension on top of Klority's $2/user/month base workspace. Teams can activate Sage as a dedicated virtual engineer seat ($100–$300/mo per active project agent) or utilize usage-based compute with support for BYOK (Bring Your Own Key) to keep LLM costs at near zero.
Get started free on Klority. Connect your PRDs, code, and test management into a single source of truth.