Mind Code is your coding agent

Build software for big ideas

curl -fsSL https://app.mindcode.sh/install.sh | bash

Agents Fleet

Ship more features with a fleet of agents.

Agents Fleet

Agents

Backend leadworktrees/sync-engineWebSocket sync enginewrite_file sync.service.ts+184 lines

Integration testerworktrees/sync-testsMulti-client concurrencyconflict merge: verified

Database migratorworktrees/sync-schemaZero-downtime migrationindex on workspace_id

PR #128 ready · +284 −16

sync.service.tssync.spec.mdschema.prisma

1// REQ-003: concurrent edits merge without loss
2export async function handleDocumentUpdate(
3  event: DocumentUpdateEvent,
4  workspaceId: string,
5): Promise<SyncResult> {
6  const merged = await engine.reconcile({
7    incoming: event.transform,
8    deterministicMerge: true,
9  });
10  if (!merged.ok) {
11    throw new SyncConflictError("reconcile failed");
12  }
13  await bus.publish(`ws:${workspaceId}`, merged);
14  return { ok: true, version: merged.version };
15}

Verification

Transform broadcast✓ pass · <15ms

Reconnection backoff✓ pass · 0 dropped

Conflict resolution✓ pass · 0 lost

$ npm test -- sync
24 suites passed

Spec-Driven Development Engine

Match your spec, pixel for pixel. Keep AI slop out.

specs/workspace-invites/requirements.md

Workspace invitations

Status: in progress · 4 requirements · 5 tasks

REQ-001Verified

Valid email creates one invitationAn invited address receives a single-use link

REQ-002Verified

Acceptance grants the selected roleThe member receives only the role named in the invite

REQ-003Building

Existing members cannot be invited twiceDuplicate invites return a clear conflict

REQ-004Queued

Expired links grant no accessAn expired invite cannot add a workspace member

Tasks

Create invitation endpointREQ-001 · api/invites

Validate assigned roleREQ-002 · access-control

Prevent duplicate membersREQ-003 · membership

Expire invitation linksREQ-004 · invite-tokens

Invitation expiry testsREQ-004 · invite-tests

AI Code Review

Govern AI output to cut tech debt and ship sooner

Smart Model Selection

Spend less on simple tasks; reserve top models for complex work.

Router · last 7 days

Requests18.4K

Complex tasks21%

Trivial tasks54%

Pinned model3%

complexstandardtrivial

Turn	Band	Score	Category
#14	complex	0.82	refactor
#15	trivial	0.21	lookup
#16	standard	0.47	unit tests

For software teams

Build with specs, not vibes

Govern AI code to avoid slop and rework.

Explore the product

Spec-Driven Development Engine

Turn requests into testable requirements.

Agents Fleet

Run agents in isolated worktrees.

AI Code Review

Check pull requests against requirements.

Context Engine

Give agents runbooks and decisions.

Spec-Driven Development Engine

Turn a task into a verified change

See what’s built and verified.

Mind Code

Intent

Create an e-commerce store to sell my product

Create product catalogueVerified

Build shopping cartVerified

Add checkoutBuilding

Publish storefrontQueued

Plan01

Define the outcome

Set requirements and checks.

Build02

Build to the spec

One task per isolated branch.

Verify03

Review with evidence

Check passing requirements and inspect the pull request.

Agents Fleet

Achieve more in less time

Let cloud agents keep working while you step away.

FleetRunnersHistory

Running32 local · 1 cloud

PRs opened12830 days

Checks passed7.2K30 days

Search tasks…+ New task

feat/presencePR #412

feat/broadcasttests 38/41

feat/merge · nebulabuilding

Parallel01

Hand off separate tasks

Let agents move different parts of the work forward at once.

Cloud02

Keep work moving

Cloud agents carry on while you focus elsewhere.

Dashboard03

Pick up the results

Follow progress and review completed changes in one place.

Observability for the agentic era

Follow the conversation

Read the prompts and replies from each session.

See tool activity

Review the tools used and the arguments behind each action.

Understand model choices

See which model handled each turn and who selected it.

Review each turn

See the order, duration, and token use across a session.

No AI Slop

Review changes against requirements, team rules, and approval policy.

Apply team rules

Admin-approved conventions guide each review.

Review in your workflow

Run a review in the CLI or on a pull request.

Ground each finding

Static checks and model review support reported issues.

Keep decisions visible

See findings, resolutions, and approval thresholds.

Common questions

What is spec-driven development?

Define what a change must do and how to verify it. Mind Code builds to those requirements and checks the result against them.

Can agents work on several tasks at once?

Agents Fleet runs independent tasks in parallel, each in its own workspace. Review the results as they finish.

How does Mind Code review my code?

AI Code Review checks changes against your requirements and team rules. Findings point to the relevant code and explain the issue.

Can I see what my agent is doing?

Session history shows tool calls and their results, so you can follow the work and investigate unexpected changes.

How can I reduce model costs?

Mind Code can route routine tasks to lower-cost models and use more capable models for demanding work. You can also choose a model yourself.

How do I get started?

Install the CLI or desktop app. The free plan needs no card. Sign in with GitHub.

Which models does Mind Code support?

Use Anthropic Claude, OpenAI, Google Gemini, AWS Bedrock, or local models. Router can choose per task, or you can pick a model.

How is the cloud different from the CLI?

Cloud sessions keep running after you disconnect and open a pull request when the work is ready.

Does it work with my existing repository and CI?

Yes. Mind Code uses Git worktrees and standard pull requests. Your CI and branch rules still control merges.

Which languages does it support?

TypeScript, JavaScript, Python, Go, Rust, Java, C#, C/C++, Ruby, PHP, Kotlin, Swift, SQL, shell, JSON, YAML, and Terraform.