Less engineering overhead.
More room to build.

Investigate incidents, review code, and understand your stack with Vedin. Hand over recurring checks so your engineering team has more time for the product.

Vedin shows a pending request to restart a production service, including a success check and rollback guidance.
A proposed production action, waiting for approval. View full size ↗

More understanding. Less backtracking.

Start with evidence.

Investigate an alert or a reported problem using connected tools. Review the findings and the recommended next step.

Review what changed.

Get pull-request reviews and suggested fixes grounded in the code. Keep your own review and test process in place.

See what depends on what.

Explore repositories, service relationships, and architecture context when you need to understand the impact of a change.

From alert to a next step.

Vedin takes an incoming alert through an investigation and records the outcome. Your team can inspect the findings and decide what happens next.

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What this demo shows

The Alerts page shows a checkout API error-rate alert with a concluded investigation. The recorded recommendation is to restore the database pool and load-test before redeploying.

An alert investigation with findings and a recommended next step.

Catch the costly details in a change.

Vedin reviews changed lines, explains potential issues, and suggests fixes. Here, a review identifies a JSON sorting problem and shows a possible correction.

Review and test generated fixes before merging or deploying them.

A Vedin code review identifies JSON sorting behavior, suggests a type conversion, and recommends requesting changes.
A code review with a suggested correction. View full size ↗

Keep the understanding. Lose the repeat work.

Knowledge close to the work.

Bring runbooks and generated documentation into the same workspace as your questions and investigations.

Context for your coding tools.

Use Vedin’s MCP interface to make supported knowledge available to external coding agents.

Checks that remember to run.

Schedule recurring checks and agent tasks, then inspect their results instead of starting the same job from scratch.

Your network. Clear boundaries.

An in-network agent can reach private systems through outbound connections. Team access, enabled tools, and action approvals define how Vedin works with those systems.

This connects private systems; it does not host the full Vedin service or its AI models inside your network.

Explore team controls

A few things
worth knowing.

Will Vedin make production changes on its own?

Sensitive tool calls follow the configured action policy and can require an authorized person’s approval. Review your connection scopes and enabled tools before handing over work.

How can Vedin help with technical debt?

Use Vedin to understand dependencies, spot issues in code changes, and review suggested fixes. Your team still decides what to address and validates each change; Vedin does not automatically clear an existing backlog.

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