🔍 CI/CD Pipeline Debugger / CI/CD流水线调试器

Parse pipeline logs, identify failure root causes, and suggest fixes for GitHub Actions, GitLab CI, or Jenkins. / 解析流水线日志，定位失败根因并给出修复建议。

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Who This Is For / 适用人群

• Developer stuck on a cryptic error in a 3000-line GitLab CI log. The tool parses the log, identifies a missing environment variable, and suggests the fix. / 开发者被GitLab CI中3000行日志的诡异错误卡住，工具秒级解析后定位缺失环境变量并给出解决方案。 • Team lead debugging a Jenkins pipeline that fails intermittently. The tool highlights flaky network calls and recommends retry logic. / 团队主管调试间歇性失败的Jenkins流水线，工具标出不稳定的网络请求并建议加入重试逻辑。 • DevOps engineer optimizing slow GitHub Actions workflows. The tool analyzes job timing and identifies a caching misconfiguration as the bottleneck. / DevOps工程师优化缓慢的GitHub Actions工作流，工具通过分析任务耗时发现缓存配置错误是瓶颈。

Core Capabilities / 核心能力

• Parse complex pipeline logs in seconds and pinpoint exact failure root causes. / 秒级解析复杂流水线日志，精准定位故障根因，让问题无处遁形。 • Auto-suggest actionable fixes with code snippets for GitHub Actions, GitLab CI, and Jenkins. / 自动给出可执行的修复方案和代码片段，覆盖GitHub Actions、GitLab CI和Jenkins，一劳永逸。 • Support multi-step dependency chain analysis across jobs and stages. / 支持跨任务、跨阶段的依赖链条分析，一眼看穿复杂流水线。 • Highlight flaky tests vs. true failures with confidence scoring. / 智能区分不稳定测试与真正故障，并附带置信度评分，减少无效排查。 • Generate a full diagnostic report with logs, stack traces, and resolution history. / 一键生成诊断报告，包含日志、堆栈和修复记录，团队协作零障碍。 • Unlock advanced caching analysis and parallelization optimization in Pro version. / Pro版本解锁缓存分析及并行化优化，直击性能瓶颈。

Try It Now / 立即体验

$ ci-debug --file build.log --ci github-actions Analyzes a raw build log from GitHub Actions and outputs root cause summary with fix suggestions. / 分析来自GitHub Actions的原始构建日志，输出根因摘要和修复建议。 

Feature Comparison / 功能对比

• Unlock parallelization and caching optimization insights to halve build times. / 解锁并行化与缓存优化洞察，将构建时间缩短一半。 • Get prioritized fix recommendations with estimated resolution time for each failure. / 获取优先级排序的修复建议及每个故障的预计解决时长。 • Access historical trend analysis to predict and prevent recurring pipeline issues. / 访问历史趋势分析，预测并预防反复出现的流水线问题。\n\n

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