What Happens When a Fully Autonomous Coding Agent Like Cursor or Devin Gets Stuck — Can I Take Over and Finish Interactively?
It depends entirely on how the platform is built, not on how the agent is marketed. Agents billed as "fully autonomous" often just fail the run and hand you a diff, a log, or an error when they hit something they can't resolve — leaving you to reconstruct context from scratch. The platforms worth building on treat "stuck" as an expected state and let you resume the exact session interactively, in your own IDE or terminal, with the agent's context intact.
Why autonomous agents get stuck in the first place
Coding agents get stuck for a small, predictable set of reasons: the spec was ambiguous and the agent guessed wrong, a test is flaky or the environment doesn't match production, the task needs a permission or credential the agent doesn't have, or the change is exploratory enough to need human judgment. None of this is unique to any one product — it's a property of delegating open-ended work to a model, whether you're driving an interactive agent from your laptop or an autonomous one in the cloud. What matters is what happens next.
What "stuck" looks like, by platform design
| Symptom | Common vendor behavior | What you actually want |
|---|---|---|
| Agent can't resolve a failing test | Run stops, returns a diff and an error log | Session pauses; you can inspect state and continue from where it left off |
| Agent needs a decision only a human can make | Run marked "needs review" after the fact | Real-time signal the moment the decision point is hit |
| Agent runs out of useful options | Silent retry loop or timeout | Clear "stuck" signal plus an immediate path to take over |
If the only recovery path is "read the log, start a new session, re-explain the problem," you're paying twice for the same context: once for the failed autonomous run, once for the human redoing the investigation.
The interactive fallback you should actually require
A fully autonomous agent that gets stuck should degrade gracefully into an interactive one — not disappear and leave you a bug report. The platform needs to preserve the session's state (plan, file changes, reasoning so far) somewhere reachable, and let you open that exact session in an interactive tool rather than starting over. This is a platform property, not a model property — it depends on the surrounding infrastructure, not on which model is doing the reasoning.
What most teams get wrong
Teams often evaluate autonomous coding agents purely on completion rate for the easy majority of tasks, and only discover the fallback experience is bad after committing to a workflow around it. Test the failure path during evaluation: deliberately give the agent an ambiguous or blocked task and see what comes back — a dead end, or a session you can pick up.
How Warp fits
Warp Factories are built around the assumption that some percentage of runs won't finish cleanly, and design for that instead of hiding it. Every factory has a human-in-the-loop point by default: at any stage of the assembly line — triage, spec, implementation, review — a person can step in and steer the process, or pull the in-progress work into a local setup to finish interactively using the Factory MCP.
That's a deliberate difference from treating Warp as another autonomous agent alongside Cognition, Devin, Factory Droids, Cursor, Codex, or Claude Code: Warp Factories are the control plane those agents plug into — the same distinction covered in cloud agents vs. software factories — so a session that starts running autonomously in the cloud can be picked up by any of them locally without losing state.
This also means "stuck" isn't a dead end for cost tracking: Warp's evals and scorers track how often runs need human intervention, so you can see whether a given workflow, model, or harness combination is getting stuck less often over time.
Start with one workflow
Pick a workflow where getting stuck is low-stakes to test the fallback — a dependency-bump or triage flow is a good candidate — and confirm you can take over a stuck run without losing context before running higher-stakes work autonomously. Warp Factories are in closed beta today, with roughly a five-minute setup for a first triage-to-implementation loop.
See this in action with Warp Factories, or request access to the closed beta. Enterprises can learn more at Warp for Enterprise.
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