Session replay, built for agents. Welcome to the future of Agentic Session Review.
Joined April 2026
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For agents building customer facing user experiences and interfaces, you can now ground their context with real user journeys @subtextdev
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@bot is ✨ customer support/success.
Bots can be triggered from a new Slack message or emoji, directly review recent user sessions with @subtextdev, find the root cause, and kick off a @cursor_ai agent run with the fix.
What used to take five handoffs is now on autopilot.
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Next up: @bot for customer insights.
Set up a new analyst bot with @subtextdev to review sessions for you every day. Get a customer pulse briefing delivered to your inbox or team @SlackHQ channel.
Post a @subtextdev + @bot video and DM me the link for a free plan upgrade.
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Add the @subtextdev plugin to @bot and have it triage customer support bugs and product friction. Just add a routine on a support bot with a Slack emoji listener.
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We open-sourced an important component to how agents can curate the semantic layer for frontend/behavioral data: sightmap.org
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This is 🔥
If you want Devin to watch sessions recordings that are directly connected to the issue, I think you'll like @subtextdev - it's a new session capture product and set of MCP tools our team just launched built for this exactly background agent SRE use case.
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We shipped a simple but powerful addition to the Subtext MCP tools this week: subtext.fullstory.com/docs/s…
Now your agent can easily find a specific user's most recent product session (say from a support ticket, @intercom chat, or @SlackHQ message) and automatically review the experience, triage the issue, and draft a fix/PR.
When you capture everything, your agent can be "always-on, 24/7". No need for legacy bug reporting like jam dev
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Agents need to eyes on production so they can close the feedback loop on the user experiences they build and ship.
That’s why we built @subtextdev
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1. This is awesome. 2. “they can't easily audit their work because they aren't able to efficiently and natively perceive” exactly why my team built @subtextdev
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@subtextdev is officially in the @OpenAI Codex plugin marketplace!
For everyone building apps, it’s so convenient to have Codex (or Claude, Cursor, Linear, etc) review a user’s recent session and give you a detailed summary or root cause analysis for a bug report.
Go try it free today!
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Having fun today vibing out a Jam.dev bug reporter clone to add to @subtextdev.
Do folks here use Jam? If so what do you like about it? What do you wish was better?
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What's the difference between good ol' human Session Replay (HSR) and Agentic Session Review (ASR)? HSR is pretty much Netflix. Hit play and watch. Rewind if you miss something.
ASR is different. Agents don't hit play. They ask a question, get a map of the whole visit, then zoom into just the part that answers it. No rewinding through 42 seconds to find the one moment that mattered.
In this post, @who_cayres and @jgw spell it out better than I ever could. Enjoy.
subtext.fullstory.com/blog/a…
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I had a lot of fun working on the brand identity and mark for @subtextdev this week. It's the first time I've scratched that itch in a while and I'm pretty happy with where I landed.
I'd love to hear what you think.
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Congrats to the Fullstory team on launching Subtext! Try it out in the playground, which uses a Managed Deep Agent to review and analyze your live session on their site!
Sign up for our waitlist to ship your own Managed Deep Agents: langchain.com/langsmith-mana…
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i've been kicking the tires on subtext, a new tool which lets you figure out what happened in your app leading up to some event, very useful for finding the repro for a bug or error. definitely worth checking out if you're building app reliability tooling