The backlog problem nobody budgets for
Every team has a list that never reaches the top of the queue: tests, migrations, dependency upgrades, small features, documentation. Meanwhile the response is usually "let's hire" — but a hire is ~3 months and $150k+/yr, and the backlog grows the whole time.
The math of "hire vs. run agents on it"
One senior engineer costs roughly $12,500/month fully loaded. A team of autonomous agents — Sweet Team at $1,000/month — is about 8% of one engineer. If agents clear even 8% of one engineer's output, the tool has paid for itself; anything beyond is margin. See the pricing and a Team plan breakdown.
Where agents fit (and where they don't)
- Good fit: well-scoped, verifiable work — tests, refactors, migrations, small features, upgrade PRs.
- Poor fit: ambiguous product decisions and architecture. Keep humans on the hard calls.
The honest framing: agents aren't a replacement for senior judgment — they're capacity for the queue your seniors never get to.
How to run it safely
The first question a CTO asks is "is it safe to let an agent run code?" Sweet runs the CLI locally on your machine; web sessions run in isolated, unprivileged, egress-restricted microVMs. See how isolation works → Every agent change arrives as a standard git PR your engineers review.
A practical rollout
- Pick one boring, well-scoped backlog area (test coverage is the classic starter).
- Agree on a success metric up front — "open N PRs that pass CI" beats vague goals.
- Review the diffs like any teammate's PR; keep the ones that pass.
- Expand to migrations/refactors once the first area clears.
Comparing your options
Cursor and Copilot autocomplete while you drive; autonomous agents ship whole tasks while you're away. They're complementary. See the full comparison — including vs Cursor, vs Devin, and vs Claude Code.
The takeaway
You probably can't hire fast enough to clear the backlog. You can put agents on it this week. Start a 30-day team pilot →