Agentify Software Engineering
inside your own environment with Cyclotron Forge
Every engineering team now has AI assistants. Almost none has AI throughput, because writing code was never the bottleneck. Delivery is gated on the verification, orchestration, and governance that happen after the code exists.
That’s where an agentic software development lifecycle (aSDLC) come in. As a closed-loop AI engineering system, Cyclotron Forge enables agents to write, test, repair, and ship your software so your team can focus on steering the ship. It installs in your environment, on your repositories, under your identity model, with deterministic gates deciding what merges while your engineers maintain control holding the production key.
Our Expertise
an Agentic Software factory built for the AI-powered enterprise
Installed in Your Own Environment
Your repositories stay in your git forge, GitHub or Azure DevOps. Agents run in isolated cloud environments with scoped, revocable credentials in your tenant. We stand up the forge, the agent stack, CI, and the merge gate for one project end to end.
Governed and Bounded by Construction
Three labels are the whole control surface: opt in, stop everything, or block the merge while fixes continue. Attempt budgets end in a structured handoff to a person, never a runaway. In seven weeks of production, 2.2% of changes asked for a human.
FinOps Built In
Model routing by depth, per-loop budgets, and a monthly cost-per-merged-change report. Expensive models coordinate, economical models execute, and you see what every shipped change costs before you scale it.
Any Signal Starts Work
A production error, a ticket, a feature request, an audit finding, a release proposal. Anything machine-readable becomes one owned unit of work, with a marker that closes the original signal when the fix deploys. No standup required.
Machines Verify, Machines Merge
Agents write the tests, run self-QA, and answer every review finding. A deterministic gate then verifies checks, reviews, and threads against the exact commit before it merges, and posts a receipt of what it verified.
Your Team Holds the Production Key
Agentic software production deploys sit behind a QA verdict pinned to the exact commit plus a human merge, always. Your engineers stop typing routine changes and start directing: architecture, product judgment, and the release decision.
One Closed Loop, From Signal to Shipped Software
01 · Signal
A feature request, a ticket, an audit finding, a production error. Intake normalizes it, groups it with related signals, and hands the loop one unit of work with a named owner.
02 · Build + Prove
Agents implement in isolated environments and write the tests, over half of their output being test code. Machine reviewers argue with the result until the findings are answered.
03 · Ship
The gate verifies checks, reviews, and threads deterministically, merges with a receipt, and the environment deploys itself. Deployment telemetry becomes the next signal, so the loop restarts itself.
proven in production
The evidence from live production, not a pilot
406,303
LINES SHIPPED BY AGENTS
430
MERGES IN 7 WEEKS
95.2%
AGENT PULL REQUEST LAND RATE
36 min
MEDIAN PULL REQUEST TO MERGE
91%
AGENT PRS, NO HUMAN ENGINEERING
52%
OF MERGES LAND OUTSIDE 9 TO 6
2.2%
OF CHANGES ESCALATED TO HUMANS
0 bad
MERGES, RUNAWAYS, GATE BYPASSES
what teams point it at
Several Doors into the same machine
The machinery never changes; only the signal does. One loop runs every kind of engineering work, so a new use case only costs a playbook, not a platform.
Sustain a Product
Backlog, tickets, and errors ship continuously, without a standing team. Your engineers keep architecture, product judgment, and release approval.
Keep Production Quiet
A production error becomes a diagnosed, tested, reviewed fix that deploys and closes its own alert, on the error’s schedule rather than the standup’s.
Revive a Frozen Codebase
Stand up CI, install the loop, hand it the backlog, name one owner. A product whose team moved on starts moving again in weeks.
Build Something New
New builds get the assembly line from day one: judged plans, fresh-context implementation, mandatory self-QA, gated merges, in whatever your teams write.
Burn Down Debt & Monetize
Autonomous audits map structure, coverage gaps, and risk, file the findings as work, and the loop executes them: upgrades, coverage, hardening, migrations.
Scale a Team
Our fleet sustained a delivery pace that would take 100+ enterprise engineers to match, with spend capped by design and reported per merged change.
Get STARTED
Two Weeks to a roadmap you own
2 WEEKS · 1 DEDICATED ARCHITECT · YOURS TO KEEP, INSTALL OR NOT
The Cyclotron Forge Assessment answers one question with evidence: exactly how does the factory get installed here? Not a questionnaire, but a working inventory of everything the factory will touch, built by an architect sitting with your team.
- The team and the project: roles, review culture, definition of done, release rhythm.
- The git forge: branch strategy, protections, existing CI, review requirements.
- Environment and identity: dev, staging, production, secrets, QA boundaries.
- The toolchain: build systems, test frameworks, quality tooling, deployment paths.
- Agent platforms: what you have or could use, and which becomes the runtime.
- Signals and monitoring: errors, ticketing, backlogs, and the first connector.