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@stacktale

stacktale

Stack traces that tell the tale — AI-ready error reports for Java.
stacktale

stacktale

Stack traces that tell the tale — Java error logs, rewritten for the reader that increasingly triages them: an AI.

Maven Central  Java 17+  Apache-2.0

When an exception hits, stacktale captures the culprit line, the story that led to it, the args / MDC / exception state, and the environment — at the source — and writes one compact, AI-ready report to errors-ai.log. Your normal logs stay untouched. Up to 98% fewer tokens, carrying more context, not less.

A raw stack trace is distilled into a compact stacktale report, pasted to an AI, which writes the fix — 2,119 tokens down to 411.

The ecosystem

A framework-agnostic core, with thin adapters on top — plug it into any framework, or none.

Repo What it is
stacktale The library: the agnostic engine + adapters for Logback / Log4j2 / JUL, a Spring Boot starter, an MCP server, and a javaagent. On Maven Central.
stacktale-intellij IntelliJ / JetBrains plugin — a tool window over errors-ai.log: jump to the culprit line, copy-for-AI.

Roadmap: a VS Code extension, a stacktale CLI, and idiomatic starters for Micronaut & Quarkus — both already usable today via the Logback / JUL adapters.

Contributing

good first issue and help wanted tickets live in stacktale/stacktale/issues. PRs and feedback are very welcome.

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  1. stacktale stacktale Public

    Stack traces that tell the tale — a Logback appender that turns Java errors into AI-ready reports

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  2. stacktale-intellij stacktale-intellij Public

    IntelliJ IDEA plugin for stacktale — surfaces errors-ai.log in a tool window, jump-to-culprit, copy-for-AI

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  3. .github .github Public

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