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shipguard

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Autonomous AI incident-response agent for deployment failures: investigates across Jenkins, GitHub, Jira and Slack, derives a root cause with an auditable confidence score, gates destructive actions on human approval,...

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Related by shared tags and keywordsfull_stack_projectai-job-trackerAmethyst
ai-agentdevopsfastapiincident-responsejenkinsaiai assistantautomation

Overview

ShipGuard is an autonomous incident-response agent for software deployment failures. It receives a report such as "production is broken after the latest deployment" and investigates across Jenkins, GitHub, Jira, and Slack. The agent builds an evidence graph, derives a root cause with an auditable confidence score, coordinates the response, and refuses to call the incident resolved until it has observed a passing deploy. The system is designed to be transparent and auditable, with a deterministic scorer that owns confidence and evidence links, and an LLM that writes prose and selects read tools. Safety is enforced through two independent gates: a confidence gate that escalates if the score is below a threshold, and an approval gate that requires human approval for destructive actions. Verification of recovery is deliberately hard to satisfy, requiring a build that ran after the failure with a passing pipeline, a successful deploy stage, and the absence of the original error signature.

Pricing

Free

Detailed plans have not been confirmed in our catalog. Check the official website for current limits and billing terms.

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Prices and limits may change. Confirm the currency, billing period, seat minimum and usage caps on the official website.

Use Cases

  • Teams use ShipGuard to reduce log data sent to LLMs by extracting only relevant excerpts within a byte budget.
  • Teams use ShipGuard to maintain an auditable trail of incident response actions, including blocked and skipped steps.

Features

Investigate reported deployment failures

Correlate Jenkins, GitHub, Jira, and Slack evidence

Build an incident evidence graph

Assign auditable root cause confidence scores

Coordinate incident responses across connected services

Require human approval for destructive actions

Verify recovery through an observed passing deploy

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