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Your agents push PRs into a system they don't understand — overloading reviewers, stacking queues, and slowing everything down. Efiros gives them real context before the next bad decision.
Run by CTOs fixing what agents break.
AI agents generate fast, low-context code. More PRs. More rework. More pressure on your team.
Agents create more work than you handle.
More PRs. Same reviewers. Review queues explode. Delivery slows down instead of speeding up.
You pay for bad agent decisions.
Wrong reviewer. Bad timing. Low-quality PRs. Your team spends time cleaning up instead of shipping.
We make your agents actually work.
Connect them via MCP. They get real delivery context — capacity, bottlenecks, load — and stop breaking your system.
They generate work blindly. That's why they don't speed you up — they overload your system.
Your agents stop guessing and start operating with awareness.
Create a PR
Checks load and cycle time before opening. No blind PRs into broken queues.
Assign a reviewer
Picks based on capacity. Avoids overloaded engineers.
Generate work
Adapts to real system capacity. Stops flooding the pipeline.
Add to pipeline
Sees bottlenecks before adding work. Doesn't pile onto blocked stages.
Act with context
Every action based on real data — load, capacity, bottlenecks.
If it supports MCP — it connects. Your agents get real delivery context before they act.
You added AI to go faster. Here's what's actually happening inside your delivery system.
PRs flooding your pipeline
Agents generate PRs faster than your team can review. Queues grow. Cycle time stretches. Releases slip. More output doesn't mean more delivery. It means more work waiting.
Reviewers getting overloaded
Agents assign work without seeing real capacity. The same engineers get pulled into every review. They become the bottleneck. Everything starts waiting on them.
Low-signal PRs everywhere
Agents generate code without context. PRs are larger, noisier, harder to review. Your team spends time filtering instead of shipping. Rework becomes part of the process.
Work stuck in the system
Agents don't see where work is already blocked. They keep adding more into the same broken stages. Work piles up where nothing moves. And your delivery slows down with every PR.
FAQ
How fast can we get started?
Minutes, not days. Connect your repo, enable the MCP endpoint, and your agents start using real context immediately.
Do we need to change how our team works?
No. Your team keeps working the same way. Efiros changes how your agents behave — not your process.
What do our agents actually get?
Real-time delivery context: review capacity, queue load, cycle time, bottlenecks. They use it before every action — so they stop making bad decisions.
Do we need custom integrations?
No. If your tools support MCP, you're ready. One endpoint and your agents are live.
Will this slow down our agents?
No. Agents move faster because they stop guessing and stop creating rework.
Is our code safe?
Yes. Your code stays where it is. Agents get delivery context — not your codebase.
What changes after we connect?
Your agents stop breaking your system. They stop overloading reviewers, stop creating work at the wrong time, and start acting with real awareness.
How quickly will we see impact?
Immediately. You see the problems right away — and your agents start making better decisions from the first action.
Connect your repo. Your agents either see real system load and bottlenecks — or keep breaking your delivery.
No more blind actions. You stay in control.
