CODY
CODY
Preparing workspaceOpening Cody

THE AI SOFTWARE ENGINEER

AI software engineer

Cody turns the agents you already use into governed implementation workflows inside your own infrastructure.

Assign work, run agents, collect evidence, and open reviewable PRs from versioned workflow config.

Works with your existing stack

Codexagent
Claude Codeagent
Cursoragent
GitHubsource
Jirawork
Datadogsignals
Snyksecurity
Kubernetesruntime

THE OPERATING LAYER

Software work should be assigned, run, reviewed, verified, and shipped inside your infrastructure.

01assigned02run03reviewed04verified05your infrastructure

DESIGNED FOR REAL CODEBASES

Five principles for governed AI engineering.

Runs in your environment

Agents execute in the repositories, networks, credentials, and policies your team already controls.

Configured as code

Triggers, prompts, tools, reviewers, checks, and handoffs live in versioned workflow files.

Works with any agent

Codex, Claude Code, Cursor, or an internal agent can run behind the same implementation contract.

Evidence by default

Every run keeps context, logs, checks, decisions, and the pull-request trail attached to the work.

Humans set the line

Low-risk paths can move quickly while protected systems route to named reviewers before anything ships.

THE CODY STACK

AI engineering, wired like infrastructure.

Cody turns recurring engineering work into versioned workflows that run agents inside controlled workspaces, collect evidence, and hand off reviewable PRs.

IN

01 / INPUTS

01 / 07

Triggers

Work enters from the systems you already trust.

Issues, PRs, alerts, scanners, schedules, and human requests can all start the same governed path.

ENV

02 / ENVIRONMENTS

02 / 07

Workspaces

Agents run where your engineering context lives.

Each run is scoped to selected repos, branches, credentials, runtime images, and policy boundaries.

AI

03 / EXECUTION

03 / 07

Agents

Any agent can work behind the same contract.

Codex, Claude Code, Cursor, or an internal agent receives the same role, tools, checks, and output expectations.

CLI

04 / CAPABILITY

04 / 07

Tools

The workflow decides which tools are available.

Commands, browsers, docs, logs, scanners, test suites, and repo tools are granted by workflow config, not chat memory.

POL

05 / BOUNDARIES

05 / 07

Policy

Every path has an explicit review boundary.

Protected surfaces, merge rules, reviewers, and escalation paths are declared before the agent starts.

LOG

06 / PROOF

06 / 07

Evidence

The run produces more than a diff.

Cody keeps the reasoning trail, commands, screenshots, test results, and risk notes attached to the work.

PR

07 / HANDOFF

07 / 07

Pull requests

Humans review implementation, not disconnected prompts.

The final artifact is a reviewable PR with context, evidence, and ownership already assembled.

CODE AS CONFIG

One file. The whole workflow.

Cody workflows are durable engineering assets. They define the trigger, agent, workspace, instructions, branch behavior, and checks that make an implementation path repeatable.

workflow.yamlversioned
on:
  githubIssues:
    labels: [bug]
run:
  agent: codex
  workspace: payments-api
  prompt: "Fix: {{.Title}}"
  branch: auto
  then:
    - review
    - test

Triggers connect issues, PRs, scanners, alerts, schedules, and manual starts.

Any supported agent can run behind the same workflow contract.

Pipelines define review, test, verification, and handoff before code moves.

Git versioning makes every change to the workflow reviewable and reversible.

For engineering leaders

Why leaders choose Cody

  • Delegate implementation without losing control
  • Keep work inside approved infrastructure
  • Turn recurring work into reviewed workflows
  • Make evidence and ownership visible

For developers

How developers benefit

  • Spend less time on repeatable fixes
  • Review complete context, not disconnected prompts
  • Use agents without leaving the repo workflow
  • Keep humans in the decisions that matter

IMPLEMENTATION PATHS

Real engineering work, not one-off prompts.

Start with a narrow workflow. Cody turns the repeatable path into agent work humans can inspect, trust, and improve.

BUG
GitHubLogsTests

Bug resolution

  • Reproduce from issue context
  • Patch the failing surface
  • Open a PR with verification

Turn reports into reviewed PRs

SEC
SnykDepsPolicy

Security remediation

  • Ingest scanner findings
  • Apply scoped dependency or code fixes
  • Attach risk notes and test evidence

Keep findings moving

OPS
DatadogK8sRCA

Incident follow-up

  • Start from alerts and logs
  • Trace root cause across repos
  • Ship the durable remediation

Convert signals into fixes

MIG
ReposCodemodCI

Migration work

  • Apply repeatable changes across services
  • Run checks in each workspace
  • Split output into reviewable PRs

Scale the boring work

GOVERNED AUTONOMY

You set the line.

Cody ships only what you mark as safe. Everything else moves to a person with the context, evidence, and diff already assembled.

Low risk

When tests pass and the change is inside an approved surface, two agent reviews can clear it for merge.

Protected code

Payments, auth, data, and other protected areas route to a named reviewer before anything ships.

Wrong ship

Workflow config is versioned, so teams can inspect, revert, and tighten the boundary from the same review path.