Expo vs Honeycomb
Side-by-side trajectory, velocity, and editorial themes.
Extending from build-and-ship into runtime observability and CI primitives.
Expo is in active release mode — SDK 55 landed in February, SDK 56 beta is now out, and the team is filling the gaps with build-time wins (Gradle and compiler caches), new product surfaces (Expo Observe in private preview), and developer-ergo additions like GitHub sign-in. A separate thread on Expo Go's App Store posture keeps recurring, signaling continued platform-store friction.
The arc is broadening past "build and ship React Native apps" into the operational layer around them: production observability with Expo Observe, CI primitives via MCP tools and compiler caches, and authentication ergonomics. The SDK cadence remains the metronome, but the most interesting motion is happening adjacent to it — at the dev-experience and runtime-ops edges.
Expo Observe is the directional bet for 2026; expect it to exit preview tying crash, performance, and user-flow analytics directly to the EAS pipeline. On the iOS side, expect ongoing posts and a push toward Dev Client and bare workflows as the more durable distribution path, with Expo Go reserved for prototyping rather than production handoff.
Honeycomb is rebuilding observability around an autonomous investigation surface called Canvas.
Every meaningful release in the last quarter rolls up to one product motion: Canvas, an agentic investigation surface that Honeycomb is propagating across the entire product. The May 20 launch turned Canvas into a multiplayer workspace where humans and AI agents investigate together, with auto-investigations that kick off when triggers fire, GitHub-grounded analysis, custom skills for runbook knowledge, and a Slack app. Around the headline launch, Honeycomb shipped BubbleUp Insights (AI-summarized anomaly diffs), a Gen-AI tab in trace view, Query Math, dark mode, and earlier beta surfaces of Ask Canvas and Slack Canvas that the big release now consolidates.
Honeycomb is repositioning from 'query your telemetry' to 'investigate with agents that know your system.' Canvas is the through-line: it shows up on Home, in Slack, in alert flows, in traces. The Gen-AI trace tab and BubbleUp Insights point at a parallel bet - that the kind of system worth observing increasingly includes LLM-powered apps, and the observability tool has to speak that language natively. Together this is a category-redefining move on the AI-native ops front, where competitors are still bolting chatbots onto dashboards.
Expect Canvas to keep absorbing surface area: deeper IDE/GitHub integration so investigations can suggest or open PRs, marketplace-style sharing of custom skills, and Canvas access via MCP so agents in other tools can query Honeycomb directly. The next spark will likely be Canvas writing back to the system - e.g., proposing config changes or runbook edits from what it learned.
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See more alternatives to Honeycomb →