One change. From request to review.
Follow a dependency upgrade through context, execution, tests, feedback, and approval. The conversation, computer, and reviewable result stay together.
Start with a specific change.
A dependency upgrade starts with your repository, its instructions, and a clear definition of done. Keep the scope and conversation together.
Upgrade TanStack Query
BenjaUpgrade TanStack Query to 5.90.0. Run the tests and build, then open a PR.
I’ll check the repo instructions and existing dashboard tests first.
Read AGENTS.md and package.json
Searched dashboard queries
The Tembo stack
Large Language Models
Run any frontier model and switch between them as they improve. Tembo stays model-agnostic, so every agent uses the best LLM for the task at hand.
Agentic Harness
The orchestration that turns a model into an agent through planning, tool use, and multi-step runs. Harness-agnostic, so you’re never locked in.
Cloud Runtime
Every agent runs in its own isolated cloud VM, preloaded with your repo, tools, and dependencies. No local machine or setup required to start.
Context & Connections
Shared context across all your repos, tickets, docs, and the tools you connect, so agents and your team always work from the same picture.
Product / Control Plane
The control plane that ties every layer together, with one place to deploy, observe, and operate every agent across your whole organization.
Security & Governance
SOC 2 Type II, SSO, and role-based access come built in, with the option to self-host so the entire platform runs inside your own environment.
Tembo
Every layer above brought together in one platform your team owns, deploys, and scales end-to-end, from model to production. That’s Tembo.
Next, write a short status update I can paste in Slack
rewrite it in a more concise tone, no fluff
define states + transitions for the queued card
when done, write acceptance criteria for this behaviour
Codex: GPT-5As fast as local
Work hands-on in a live session using Cursor, Claude Code, or Codex. The environment runs in the cloud so it can keep running, resume later, be shared, or hand off to a background agent.
- Feels local. Runs in the cloud.
- Pause, resume, share, or hand off anytime.
- Your agent configs and repo instructions work the same way.
Codex: GPT-5Background agents
Hand off work from Slack, Linear, GitHub, schedules, or webhooks. Tembo runs agents in the background and pings your team when there is output to review.
- Triggered from Slack, Linear, GitHub, schedules, or webhooks.
- Runs unattended while your team stays focused.
- Pings your team the moment there's output to review.
Any agent. Any model. Zero lock-in.
Tembo orchestrates Claude Code, Cursor, Codex, custom agents, and the latest models through one workflow. No proprietary wrapper. No new agent concept to learn.
Use agents by mention. Call on agents directly from Slack, Jira, Linear, and more using simple @mentions.
Swap agents with a dropdown. Choose from supported agents and models from Anthropic, OpenAI, and more. Switch without rebuilding your workflow.
Your configs work the same way. Existing agent configs, repo instructions, and local workflows work the same way in Tembo.
Filter models...
Auto
Composer 2.5
Claude Fable 5
Claude Opus 4.8
Claude Sonnet 5
GPT-5.5
Gemini 3.1 Pro
Grok 4.3
Multiple agents
Filter agents...
Claude Code
Codex
OpenCode
Cursor
Pi
Amp
Grok Build
Antigravity
Use agents by mention. Call on agents directly from Slack, Jira, Linear, and more using simple @mentions.
Swap agents with a dropdown. Choose from supported agents and models from Anthropic, OpenAI, and more. Switch without rebuilding your workflow.
Your configs work the same way. Existing agent configs, repo instructions, and local workflows work the same way in Tembo.
Inspect the work. Review the result.
Follow agent activity, inspect the diff and check results, and request changes before merging through your team’s approval process.
Real-time monitoring
Watch agents work as it happens: see changes and decision points the moment they occur.
Session inspection
Open a session to inspect its conversation, recorded tool activity, and output.
Review and revisions
Inspect proposed changes, request revisions, and approve PRs through your repository’s review process.
Parallel execution
Run dozens of agents at once across repos, and track all of them from a single dashboard.
Intervention controls
Step in, redirect, or cancel any agent at any point. You stay in control the whole way.
Audit trail
Use session records to understand how a change was made and support your team’s reviews.