v1.2
June 2026
Update
Syncs that survive navigation — on-demand fetches now run independently of the screen that started them and stream new invocations into the list live — plus a cluster of background-sync reliability fixes.
Syncs that survive navigation
- On-demand log syncs now run independently of the screen that started them — navigate away from the Invocations tab or switch to another function and the fetch keeps running, then picks up exactly where it left off when you come back
- Newly synced invocations appear in the list as each page lands — whether from an on-demand or background sync — without resetting your scroll position or dropping the invocation you had selected; counts and sparklines tick up live
- Cancelling a sync now keeps every page already fetched instead of discarding the whole run, so the next sync resumes from where you stopped rather than re-fetching from scratch
Reliability
- Background and on-demand syncs no longer fetch the same function at the same time — background defers to an in-flight on-demand sync and resumes on a later cycle
- Fixed background sync silently stalling on actively-running functions — showing "0 events" cycle after cycle — when AWS's reported stream timestamps lagged behind freshly ingested events
- Background sync now honors your configured interval after a catch-up finishes, instead of immediately re-firing a redundant cycle
- A sync that fails mid-flight (e.g. a dropped connection) now clears its spinner and surfaces the error, instead of spinning forever and blocking every later sync with "already in progress"
MCP
- The Claude Integration settings now list every available MCP tool, so you can see what Claude Code can do before enabling the local server
v1.1
June 2026
Update
Async-retry awareness, smarter correlation, and faster drill-downs from charts into the invocations that drive them.
Async retries are now first-class
- Lambda async invocations (EventBridge, SNS, S3, etc.) retry failed attempts and reuse the same request ID — previously each retry quietly overwrote the earlier one and its logs, so a failure followed by a successful retry looked like a plain success
- Every attempt is now persisted as a distinct invocation, with its own status, duration, and full log lines
- A compact retry marker on every multi-attempt invocation in the list, mirroring the cold-start indicator
- Click the Attempt N/M badge in the detail view to jump between sibling attempts, with status and duration shown per attempt
- MCP
get_invocation_logs returns every attempt's logs, with cumulative size budgeting so high-retry requests never blow the response
Smarter correlation across profiles
- The same execution synced under two LogStitch profiles no longer appears "correlated" with a duplicate of itself — correlated views collapse rows by logical identity (function, region, request ID, timestamp)
- Two new filters in the Invocations popover: Correlation (All / Correlated / Standalone) and Attempts (All / Multiple / Single)
- The correlated-invocations popover now anchors correctly to its button and no longer clips the "View in Timeline" action
Faster drill-downs from charts
- View Invocations shortcut on the Error Rate and Cold Starts cards (and their full-size views) opens the Invocations list pre-filtered to exactly the rows the chart represents, in the same time window
- Opening a larger graph from an Overview card carries the Overview tab's selected window with it, instead of resetting to each report's default
- Opening a report from the Invocations tab's Analytics Reports popover scopes it to the time range you're already looking at
Reliability
- Patterns tab no longer falsely marks every pattern as Resolved after a large sync backlog — the incremental refresh now drains the full backlog before classifying lifecycle
- Inline guidance on the SSO profile screens explaining the IPv4-only access portal URL vs. the Dual-stack URL, so the first sign-in doesn't fail on a confusing OIDC error
v1.0
May 2026
Initial release
The first public release of LogStitch — a native macOS app that reads CloudWatch logs, groups them into AWS Lambda invocations by request ID, and runs entirely on your machine.
Stitching engine
- Groups CloudWatch log lines into AWS Lambda invocations by request ID
- Cold-start detection, init duration, and billed duration surfaced inline on every invocation
- Auto-parses JSON log lines into a navigable, collapsible tree
Cross-account & cross-region
- Unlimited AWS profiles via the standard
~/.aws/config, including SSO and IAM role assumption
- Correlates a single request across functions, accounts, and regions
- No additional CloudWatch cross-account observability setup required
Pattern & anomaly detection
- Auto-clusters similar error messages into named patterns (e.g.
Unhandled exception · 500 · userId={userId})
- Tracks pattern frequency, first-seen, last-seen, and runtime impact
- Z-score anomaly scoring on duration, error rate, cold-start rate, and projected cost
Cost & performance analytics
- Per-function memory, duration p50/p95/p99, error rate, and cost trends
- Cost projection and memory-tuning suggestions
- 24h, 7d, and 30d windows — re-query for free after the initial fetch (no per-scan CloudWatch charges)
MCP server for Claude & AI tools
- Local Model Context Protocol server bound to
127.0.0.1 only (configurable port, default 47821) — never exposed to the network
- Works with Claude Code and any MCP-aware client that can reach a local server. Claude Desktop is not supported because its custom connectors route through Anthropic's servers.
- 20+ tools:
search_logs, get_invocation_logs, get_patterns_summary, get_cost_projection, get_correlated_invocations, run_pattern_detection, and more
- Your AWS credentials never leave the macOS Keychain — the AI talks to LogStitch, not to AWS
Issue-tracker integrations
- Link error patterns to Jira issues and GitHub issues/PRs
- OAuth handled by
auth.logstitch.app so no client secrets ship inside the app binary
Local-first privacy
- All logs cached in a local SQLite database on your machine
- No LogStitch cloud, no telemetry, no account required
- Works offline after the initial fetch
Platform
- Native macOS app built on AppKit
- Universal binary — runs on Intel and Apple Silicon Macs, macOS 26.1 or later
- Distributed via the Mac App Store
- Free 14-day trial. $49 Personal for personal projects, $99 Business for commercial use at work. One-time purchase.