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Hyperprobe
Hyperprobe is an AI debugging tool that lets coding agents capture live production state and data without redeploying services.
HyperProbe lets coding agents place read-only probes on specific lines of running production code to capture live variable states without redeploying or restarting services. It captures data that standard logs miss, such as silent failures and race conditions, helping engineers find root causes quickly. The tool operates asynchronously with less than one percent overhead at 3,000 requests per second to ensure zero user impact. All probes are read-only, non-blocking, and run securely inside your own infrastructure with automatic PII redaction. It integrates with coding agents through an MCP server and supports JavaScript, TypeScript, Java, Kotlin, Python, and Ruby.
Hyperprobe at a glance
- Best for: Software engineer
- Runs on: Web, API, self-hosted
- Pricing: Free plan available; Professional plans and Enterprise self-hosted options priced per service with unlimited captures.
- Released: September 2026
- Category: AI coding tool
- Website: hyperprobe.co
Key features
- Place read-only virtual breakpoints on running services
- Capture live variable states without redeploying
- Operate with less than one percent overhead
- Redact PII automatically at the agent level
- Enforce time-to-live and rate limits on probes
- Maintain immutable audit trails of all probes
- Integrate with coding agents via MCP server
Use it for
- Debugging production incidents without redeploying
- Investigating silent failures and missing log values
- Inspecting live memory state during traffic spikes
- Tracing upstream write failures and third-party drift
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- code2prompt — Written in Rust for high speed and efficiency when handling large codebases.
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- Autoprompt Skill — Reduces coding failures by 45 percent through automated verification loops.
- Stagewise — Maintain full sovereignty over AI models while running agents in parallel.
- NoCodePro.AI — Generates code and deploys production-ready apps using specialized AI departments.
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