LogStitch
Stitch AWS Lambda logs into clear timelines on your Mac.

What it does
LogStitch is a native macOS app that transforms messy CloudWatch log streams into structured, invocation-level timelines. It reads the request ID stamped on each log line and weaves them back into the individual Lambda execution they belong to — locally, in milliseconds. The app also clusters repeating error patterns, surfaces latency outliers, and provides built-in analytics for duration trends, cold-start distributions, memory right-sizing, and cost projection. A local Model Context Protocol (MCP) server lets AI assistants like Claude query your Lambda logs directly, without exposing your AWS credentials.
Who it is for
LogStitch is built for developers and DevOps engineers who work with AWS Lambda and need to debug failures quickly. It is especially useful for teams managing many functions across multiple AWS accounts and regions, who are tired of scrolling through interleaved CloudWatch log streams. The tool is designed for individual developers (Personal license) and for commercial use at work (Business license).
Why it matters
CloudWatch interleaves log lines from every concurrent Lambda execution into one timestamp-sorted river, making it nearly impossible to follow a single invocation. LogStitch solves this by grouping logs by request ID, presenting each invocation as a coherent story. It also correlates requests across functions with a swim-lane timeline, detects anomalies and error patterns automatically, and keeps all data local — no cloud backend, no third-party analytics, no telemetry on your log content. This means faster root-cause analysis, reduced debugging time, and full control over sensitive log data.
Launch signal
LogStitch is available now as a one-time purchase ($49 Personal, $99 Business) with a 14-day free trial. It can be downloaded directly from the website or from the Mac App Store. The app requires macOS 26.1 or later and runs natively on both Intel and Apple Silicon Macs. The website includes a detailed feature list, a side-by-side comparison with CloudWatch Logs Insights, and clear privacy and security documentation.
Brand and naming
The name "LogStitch" effectively communicates the core value proposition: stitching together fragmented log lines into coherent stories. It is short, memorable, and domain-appropriate. The branding positions the product as a developer-friendly, privacy-first alternative to CloudWatch's built-in tools, emphasizing local processing and one-time pricing over subscriptions.
Founder
Ryan P
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