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
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.
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.
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.
Incident response loop
By the time the on-call engineer joins, the investigation is done: likely cause identified, timeline drafted, context assembled.
One loop is a local optimization. Connected loops are a
software factory: measured in outcomes, not output.
Cosmos in action
Agents own the whole loop.
Not just the code.
Cosmos ships with experts for every stage of the software development lifecycle. Each one owns its slice end to end, hands off to the next, and pulls humans in only at the checkpoints that matter.
Triage
Work Dispatcher
Scans open tickets, applies a triage rubric, and dispatches the right expert as a worker.
Author
PR Author
Takes a task description and drives it from first commit through merge.
Review
Code Review Fleet
Pair Review, Deep Code Review, and PR Risk Analysis work the PR end to end and post inline findings.
Verify
Tester
Exercises the change end to end and posts results, screenshots included.
Build your own/Use the experts we ship, choose from our library, fork them, or build your own. Every expert is a reusable template with its own environment, capabilities, and memory.
+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