Debugging a Lambda failure in CloudWatch is rough. Logs scattered across streams, no timeline, endless scrolling. LogStitch is a native Mac app that stitches your Lambda logs into one clear timeline. It clusters repeating error patterns and surfaces latency outliers, so you find the failure fast. It also ships a built-in MCP server, so AI assistants can query your Lambda logs directly and debug alongside you. One-time price, no subscription. 14-day free trial.
Hey Product Hunt! 👋
I built LogStitch because I kept losing hours to CloudWatch.
I run a few AWS Lambda backends, and every time something broke, debugging meant hopping between log streams, scrolling endlessly, and reconstructing what actually happened in my head. There was no single timeline, no clean way to follow one request from start to finish. For a stack that's supposed to be fast and serverless, the debugging part felt anything but.
So I built the tool I wanted: a native Mac app that stitches your Lambda logs into one readable timeline. It clusters repeating error patterns so you can see what's actually failing, and surfaces latency outliers so slow invocations stop hiding. It also ships a built-in MCP server, so you can point Claude or another AI assistant straight at your logs and investigate conversationally.
A few things I care about:
Native macOS, not a web app in a wrapper. It feels the way a Mac app should.
One-time price, no subscription.
14-day free trial, no account needed to start.
For launch day, PHLAUNCH20 takes 20% off. These offer code links are valid through 7/31/2026:
Personal: https://apps.apple.com/redeem?ct...
Commercial: https://apps.apple.com/redeem?ct...
This started as a personal itch and became something I use every day. I'd love to hear how you debug Lambda today and what would make this genuinely useful for you. Happy to answer anything!
Does LogStitch work with any MCP-compatible AI assistant, or mainly Claude?
The MCP integration caught my attention more than log stitching. Being able to ask questions directly against Lambda logs could change how developers investigate incidents if the responses stay accurate.
I like the constraint of focusing on Lambda failures specifically instead of trying to become a general observability dashboard. That usually makes the product much easier to reason about. Curious how much setup is needed before it can start surfacing useful failures.
Lambda debugging in CloudWatch is genuinely terrible. You're juggling 4 browser tabs - one for each log stream, scrolling backward through timestamps trying to reconstruct what actually happened. The "one clear timeline" approach is exactly right. The error pattern clustering is the feature I didn't know I needed - often when a Lambda starts failing it's the same error repeating across 20 invocations and CloudWatch just shows you all 20 separately. Does it work with VPC-bound Lambdas where direct CloudWatch access is locked down, or does it need standard IAM permissions to the log groups?
Oh yeah, that definitely resonates with me as a developer. Debugging Lambda in CloudWatch always falls apart the same way. Something breaks --> you hop between scattered log streams --> scroll forever trying to rebuild the timeline in your head. Of course it sucks. Having it all stitched into one readable timeline sounds like such a relief.
Quick q though - does the MCP server work with any AI assistant, or is it mainly tuned for Claude?
About LogStitch on Product Hunt
“Find AWS Lambda failures fast, right on your Mac”
LogStitch launched on Product Hunt on June 23rd, 2026 and earned 88 upvotes and 11 comments, placing #21 on the daily leaderboard. Debugging a Lambda failure in CloudWatch is rough. Logs scattered across streams, no timeline, endless scrolling. LogStitch is a native Mac app that stitches your Lambda logs into one clear timeline. It clusters repeating error patterns and surfaces latency outliers, so you find the failure fast. It also ships a built-in MCP server, so AI assistants can query your Lambda logs directly and debug alongside you. One-time price, no subscription. 14-day free trial.
LogStitch was featured in Mac (103.6k followers), Software Engineering (42.7k followers) and Developer Tools (515.4k followers) on Product Hunt. Together, these topics include over 90.9k products, making this a competitive space to launch in.
Who hunted LogStitch?
LogStitch was hunted by Ryan P. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Ryan P