Supervised AI delivery
How AI agents scope, write and review code while engineers stay firmly in control — and why a single goal becomes a tree of tasks with an agent on each.
Agents, not autopilot
Resolve orchestrates multiple AI engines — Claude, Codex, Gemini, OpenCode, Goose, or your own model — to do the heavy lifting. But they run under supervision: engineers set the direction, review the output and own the merge. Speed without a black box.
A goal becomes a tree of tasks
Suggest-a-plan breaks a goal into child tickets, then starts an agent job per ticket with a chosen engine and mode. Work fans out in parallel instead of one giant prompt that loses the plot halfway through.
- Each agent gets whole-system context from the intelligence graph
- Reusable code from the Code Library is surfaced first — reuse beats rewrite
- Branches, PRs and merge status are tracked per task
Every change is reviewed
AI and human code review gate the merge. The review mode is set per request — AI-only, human-only or both — and the merge is blocked until the required side signs off. Nothing reaches main unreviewed.
You watch it live
From your portal you see every agent run, the diff it produced, and its branch/PR/merge state in real time. Approve as you go; pause or redirect anything that drifts.
Keep reading.
From meeting to scope
How a requirement conversation becomes structured tickets, a charter and a roadmap — without anyone writing it all up by hand afterwards.
Read guide →Designing before you build
How Resolve designs the whole solution — architecture, data model and a clickable prototype — and gets your sign-off before a single line of code is written.
Read guide →From repo to production
How a commit travels through automated build, test, scan and deploy — and straight into live monitoring — on pipelines wired into the platform.
Read guide →Proving compliance
How unified security findings map to CIS, SOC 2, ISO 27001 and PCI — and turn into auditor-ready, exportable evidence instead of a spreadsheet scramble.
Read guide →Running it offline
How a whole project runs fully air-gapped on your own AI — no paid AI modules, no external APIs and no vendor lock-in.
Read guide →Walk through it on your own project.
We’ll scope your build in one meeting and show this lifecycle running against it, live.
Start a project → All guides