Why this fit
Developers using AI assistance for code generation, review and refactoring, particularly observability and monitoring, container platforms β source available on GitHub.
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AI Coding / Catalogue record

Catalogue record
github.com
π¦ π π πͺ π§ - Log-stream tools for on-call / SRE agent workflows β expose rlg (RustLogs) log files as MCP tools. Three tools: taillog (la...
Field notes
π¦ π π πͺ π§ - Log-stream tools for on-call / SRE agent workflows β expose rlg (RustLogs) log files as MCP tools. Three tools: taillog (last N events, filtered by level/target), filterlog (JSON-path-style predicates), summarizeerrors (grouped error taxonomy). Speaks JSON-RPC 2.0 over stdio; near-lock-free structured logging engine underneath (65k-slot ring buffer, 14 output formats, oslog/journald sinks). Install cargo install rlg-mcp or docker run -i ghcr.io/sebastienrousseau/rlg-mcp. D...
Best for
Developers using AI assistance for code generation, review and refactoring, particularly observability and monitoring, container platforms β source available on GitHub.
Known limitations
Codebases where every change must be authored and reviewed entirely by humans.
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Evidence summary
Why this fit
Developers using AI assistance for code generation, review and refactoring, particularly observability and monitoring, container platforms β source available on GitHub.
Known limitations
Codebases where every change must be authored and reviewed entirely by humans.
Catalogue confidence
Catalogue data checked Oct 27, 2026.
GitHub-backed record with source-attributed context.
Repository context
GitHub / sebastienrousseau/rlg
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