defract vs cursor

cursor projects delegates your judgment.
defract keeps you in it.

in september 2026, cursor added Projects (beta): a coordinator agent that plans work, delegates to subagents, and keeps running when your laptop is closed. same category as defract, opposite model. cursor projects is AI-directed: the AI plans, delegates, and runs the build, then brings the finished PRs back for you to review. defract is human-directed: you define the story and approve every lifecycle gate (scope, design, architecture, review) before anything merges. one tool puts your one checkpoint at the end; the other keeps your judgment at every stage.

macos + windows

cursor is now two things. cursor the editor is where you write code — autocomplete, an in-editor agent, the keystroke loop tuned to be fast. cursor Projects (sep 2026) is a coordinator agent that plans work, delegates to subagents, and continues while your laptop is closed — the orchestration lane. defract is also an orchestrator, not an editor. so this page has two answers depending on which cursor you're comparing. vs the editor: different category entirely — one makes writing code faster, the other runs the whole build lifecycle. vs cursor Projects: same category, different model — AI-directed vs human-directed. the comparison that matters most is the second one.

cursor Projects (september 2026, beta), what it does: a coordinator agent that plans a body of work, breaks it into subtasks, and delegates them to subagents. execution is cloud-based and continues when the laptop is closed. it can subscribe to slack channels, run on a schedule, and track PRs. the AI plans, the AI delegates, the AI runs the build; you review the finished PRs at the end, not at each stage.

defract — what's different: defract is human-directed. you write the story once; agents carry the lifecycle — scope, design, architecture, implementation, review, release — but every stage is a gate where you decide to advance. agents review agents before you see the diff. nothing merges without your sign-off. the judgment stays with you, not with the AI. for builders who want structure and control over what ships — not just speed — that's the distinction that matters.

for the builder who owns the whole product

three things a faster editor doesn't give you.
if you ship a product end to end, this is the gap.

01

a lifecycle, not a faster keystroke

cursor speeds up the part where you write code. defract is built around the part before and after - the whole path from idea to production.

scope → design → architecture → implementation → review → release. each stage is a real gate where you weigh in on the decision; agents do the work in between. when you own the product end to end with no one to hand off to, the structure living in the tool - not in your head - is the thing that lets you ship without dropping the thread.

02

parallel agents in isolated worktrees, gated on review

cursor keeps you in the editor, in the loop, driving one agent at a time. defract runs several at once and reviews their work before it reaches you.

parallel by default

agents run concurrently, each in its own git worktree so they don't collide. you orchestrate the build instead of babysitting one session.

agents review agents

types, lint and tests gate every merge, plus review agents for architecture, security and ux. you sign off on intent and shape, not an 800-line diff.

03

memory that compounds across the whole product

an editor session knows your open files. defract remembers your codebase, your decisions and your conventions, and gets sharper every time you ship.

a memory-consolidator agent extracts learnings after each task - including the corrections where you redirected an agent - and feeds them back into the next build. you pick up where you left off without re-loading context, and the tool gets better at building your product the more it runs.

side by side

the honest comparison.

defract cursor
orchestration model human-directed — you approve every gate; agents work, you decide cursor Projects: AI-directed — AI plans, delegates, runs without you · cursor editor: freeform, single session
what it is a lifecycle orchestrator on top of claude code cursor Projects: cloud coordinator agent · cursor editor: ai code editor / ide
unit of work a story carried from idea to shipped a file, an edit, an in-editor agent run
where you spend time reviewing decisions at each gate; orchestrating in the editor, typing, in the loop
structure guided pipeline: scope → design → architecture → implementation → review → release freeform - you drive the agent and structure the work yourself
design stage a visual design gate - agent-authored html mockups rendered live, with versions and click-to-annotate none - design lives outside the tool
parallelism multiple agents at once, each in its own git worktree in-editor agent, single primary session
code review agents review agents (types · lint · tests · architecture · security · ux); merge gated on sign-off you review your own edits as you go
memory / context persistent memory of codebase, decisions, conventions - compounds over time codebase indexing for retrieval; not cross-task compounding memory
autocomplete / inline editing not an editor - not its job ›excellent tab completion
models today claude code multi-model (anthropic · openai · gemini · others)
platform macos · windows macos · windows · linux
availability available now available now

where cursor wins

we'll be straight: cursor is a genuinely excellent editor. its tab completion is some of the best inline ai there is, its codebase-aware editing is fast and accurate, and it runs everywhere — mac, windows, linux — with multi-model support today. if you live in your editor keystroke to keystroke and want the writing of code to feel faster, cursor is hard to beat. defract doesn't compete there — it isn't an editor, and it isn't where you sit typing.

cursor Projects wins if you want autonomous, cloud-persistent execution. it's a real orchestrator: AI-planned, AI-delegated, cloud-based, and it keeps running while your laptop is closed. the coordinator plans and delegates, then brings the finished PRs back for you to review. what it doesn't have: per-stage approval gates where you sign off on scope, design and architecture before the build runs, a visual design step, or a specialist-agent review pass before the PR reaches you. your checkpoint is the final PR, not each stage. if that tradeoff fits how you work, cursor Projects is worth trying.

cursor security review + rollouts (september 2026, teams/enterprise) are genuine downstream gates: PR-level security scanning (sql injection, auth bypass, credential leaks, ssrf) and a deployment monitoring bot that flags regressions and can auto-revert. these are real problems solved. the frame worth understanding: cursor's security tooling catches what went wrong after code merged or shipped. defract's gates are upstream - design approval before any code is written, architecture review before implementation starts, review sign-off before any merge. the two cover different moments in the lifecycle and are not substitutes for each other.

defract is for builders who want the process structured but the judgment theirs. when you own a product end to end and the hard part isn't typing the next line, it's running the whole build — design, architecture, parallel work, review, release — with the right decisions made by the right party at each stage. the honest answer is that some builders will want both: cursor or cursor Projects for the raw execution, defract for the lifecycle and review layer. see how we think about keeping context across parallel agents, or compare with claude code agent teams.

keep your editor. keep your judgment. run the process in defract.

download defract. if you want structured lifecycle, with your approval at every gate, not delegated to the AI, this is the tool.