AMP by CanyonTechs AI

About AMP by CanyonTechs AI

AMP (Autonomous Mitigation Platform) is an observability tool that monitors production logs, detects incidents, and generates a pull request with a proposed fix. The workflow runs without prompting, though a human reviews the PR before anything merges. It launched this week and is built by Canyon Technologies LLC.

Review

AMP sits in a specific niche between log monitoring and automated code fixes. Instead of alerting a human and waiting for a response, it goes one step further and prepares the remediation. The tool is certified for Java, Python, TypeScript, Node.js, and Rust, with additional language certification in progress. The core loop is straightforward: watch logs, detect a problem, create a fix, open a PR, and let a person approve or reject it.

Key Features

• Continuous log monitoring that triggers on incidents automatically, with no prompts required
• An 80%+ fix rate on detected issues, with the generated patch delivered as a GitHub PR
• Automatic ticket filing in Jira or any bug tracking system
• Sandboxed execution on AWS with no code persistence and no direct production access
• Human-in-the-loop review as the default workflow, keeping the final decision with your team

Pricing and Value

Pricing starts with a free tier at signup, and the site lists a monthly plan structure. During the launch window, the code PH3MOFREE grants three months free on any monthly plan. The tool currently supports Java, Python, TypeScript, Node.js, and Rust; support for additional languages is listed as in progress, not yet available.

Pros

• Runs autonomously around the clock, so incidents get a proposed fix before standup rather than waiting for someone to triage
• Keeps a human in the loop via PR review, which prevents unvetted code from reaching production
• Works with existing workflows through native Jira and GitHub integration

Cons

• Language support is limited to five certified runtimes right now, so teams using other stacks won't get the full fix pipeline
• An 80% fix rate means roughly one in five incidents will still land on an engineer's plate to resolve manually
• Not well suited for teams that need direct database or infrastructure access, since the sandbox deliberately blocks those paths

AMP fits teams that use GitHub, Jira, and one of the five supported languages, and that want automated first-pass fixes without losing review control. It's less useful for organizations with non-certified runtimes or those that require the tool to touch production systems directly. For a launch-week product, the core loop is functional and the pricing entry point is low.