The Agentic SDLC
Platform for Loops
The best AI teams stopped prompting agents task by task. They run standing loops: agents carry the repetitive middle of the SDLC, humans decide at the checkpoints, and every run sharpens the next.
01 · Trigger
PR · Alert · Ticket
02 · Execute
Code · Review · Triage
03 · Verify
Test · Judge · Eval
04 · Outcome
PR · Comments · Summary
↺ back to trigger
Continuous learning · every run improves the loop
Trusted by leading enterprises
A personal loop is a habit.
Your team's loops are infrastructure.
Loop engineering started with individuals: one person's loop in one person's terminal. At team scale it becomes a system where agents work toward outcomes, bringing humans in where judgment matters most.
Individual loop
One developer, one terminal. Fast, personal — but the knowledge stays local and the loop stops when they do.
Organizational loops
Standing loops across every team. Always running, always sharing, always improving.
A personal loop is a habit.
Your team's loops are infrastructure.
Loop engineering started with individuals: one person's loop in one person's terminal. At team scale it becomes a system where agents work toward outcomes, bringing humans in where judgment matters most.
Individual loop
One developer, one terminal. Fast, personal — but the knowledge stays local and the loop stops when they do.
Organizational loops
Standing loops across every team. Always running, always sharing, always improving.
That is the difference between a personal habit and an operating model. Cosmos is the platform built for the second.
The loops
teams run today.
The unglamorous, repetitive middle of the SDLC is where the hours go. These loops carry it: agents and humans side by side, each doing the part they are best at.
Code review loop
Every PR gets a substantive first-pass review within minutes. Senior engineers review for intent and architecture, not line-by-line diffs.
66%
Faster time to merge
Ticket-to-PR loop
Assign a ticket; the loop investigates, writes the change, and exercises it end to end. Its outcome feeds the code review loop.
2–3×
Engineering throughput
Vulnerability remediation loop
From alert to reviewed fix without a war room. The loop maps the blast radius and hands your team patches to approve, not research to start.
60%+
CVEs remediated automatically
Incident response loop
By the time the on-call engineer joins, the investigation is done: likely cause identified, timeline drafted, context assembled.
70%+
Resolved before on-call joins
One loop is a local optimization. Connected loops are a
software factory: measured in outcomes, not output.
+Agent Orchestration Platform+
Meet Cosmos.
Cosmos runs your software agents at scale, giving them the context, tools, and feedback loops they need to get better with every workflow.
Built for loop engineering,
end to end.
Anyone can wrap a while-loop around an agent. Running loops for an entire engineering organization, reliably and securely, is a platform problem. This is the platform.
Start from anything
Native triggers for GitHub, GitLab, Slack, Linear, Jira, schedules, and typed webhooks for the rest of your stack.
Run anywhere
Managed cloud sandboxes, your own machines for code that cannot leave the building, or pools of both.
Expertise as an asset
Loops are built from Experts: captured judgment, made runnable. Improve the prompt once; every future run upgrades.
Humans in by design
Checkpoints are first-class. Loops pause for review, resume on reply, and consequential actions are approved by a person.
Loops that learn
Shared memory across runs, agents, and teams. One engineer's correction sharpens everyone's runs.
Loops that connect
Loops hand outcomes to each other: triage feeds authoring, authoring feeds review, postmortems file the next tickets.
Your Experts on top.
Your infrastructure below.
Cosmos orchestrates the work.
Cosmos
Agent Orchestration Platform
+ Services
Expert Registry
Discover and share
Human-in-the-Loop
Smart escalation
Integrations
Slack · GitHub · Jira · CI
Organization Knowledge
Shared memory & knowledge across agents & teams
+ Cosmos Core
Agent Runtime
Scheduling, isolation
Context Engine
Codebase understanding
Trigger & Automation
Software development lifecycle triggers
Shared File System
Tenant and user level
Sandboxes
Isolated execution
+ Works Everywhere
Laptops
Local dev
Dev VMs
Codespaces · Devcontainers
Our Cloud
Managed · Zero setup
Your Cloud
AWS · GCP · More