Plan
Turns a ticket or goal into a scoped plan, then checks it against policy before any code is touched: paths, data classes, required approvers.
spec.mdpolicy ✓2 approvers
The autonomous production-grade app builder
Loopbuildr is an agentic development environment that respects your policies, security and governance. Agents plan, build and ship inside the rules you already have: every action checked, secrets kept in your boundary, and every change backed by an audit trail.
Policy-aware · Secure by default · Audit-ready
> curl -fsSL https://get.loopbuildr.dev | sh
GOAL
Migrate all billing calls from payments-v1 to payments-v2. Keep public API stable. Policy: payments-strict.
Works inside the stack your security team already approved
GitHubGitLabBitbucketJira
OktaEntra IDVaultSplunk
DatadogSlackSnykKubernetes
[ 01 ] Governance
Your rules, enforced on
every agent action
Most AI coding tools ask you to trust the agent. Loopbuildr asks the agent to follow your policies, and proves that it did. Decide what agents can touch, what they have to prove, and who signs off.
Policy as code
Versioned rules for which repos, files, commands, packages and network hosts each agent may use.
Least privilege
Every agent runs in its own sandbox with scoped, short-lived credentials. Nothing inherits your laptop's access.
Secrets stay put
Credentials are brokered from your vault at runtime and never reach the model or the logs.
Human approvals
Require sign-off from code owners on sensitive paths, merges, migrations or production deploys.
Immutable audit trail
Every prompt, tool call, diff and approval is recorded, tamper-evident and streamed to your SIEM.
Data control
Zero retention by default, PII redaction before any model call, and regional data residency.
Your infrastructure
SaaS, single-tenant, your VPC, or fully air-gapped on-prem with self-hosted models.
Identity
SSO / SAML, SCIM provisioning and role-based access mapped to your existing groups.
Compliance evidence
Export audit evidence mapped to the controls your auditors ask about, such as SOC 2 and ISO 27001.
[ 02 ] The loop
Autonomy that stays
inside the lines
Every Loopbuildr task runs as a closed loop with a policy check at every stage. Agents plan, build and prove the change, and nothing ships until your guardrails and your reviewers say so.
Build
Agents write code in isolated, least-privilege sandboxes with an egress allowlist and secrets brokered from your vault.
+418−209sandboxed
Verify
Runs your tests, plus security scans, license checks and secret detection. Any failure, functional or policy, sends the loop around again.
1,204 tests0 CVEs0 secrets
Ship
Opens an evidence-backed pull request, collects the approvals your rules require, and seals the full record into the audit log.
PR #2291approvedaudit sealed
[ 03 ] Platform
Everything agents need.
Nothing they shouldn't have.
A complete environment for agentic development, with governance built into every layer rather than added on top.
Policy Engine
Write guardrails as code, test them in CI, and roll them out per team, repo or environment.
Audit Trail
Replay any loop step by step: who asked, what the agent did, which policies applied, who approved.
Private Runners
Ephemeral sandboxes in our cloud, your VPC or on-prem hardware, with no inbound access required.
Model Governance
Allowlist which models each team may use and route sensitive work to self-hosted models only.
Security Review
Every pull request, human or agent, reviewed for vulnerabilities, leaked secrets and risky patterns.
Verification Harness
Tests, type checks, scans and scripted browser runs. Nothing merges without evidence attached.
Loop Control
Watch every active loop live, pause or stop any agent instantly, and step into its shell.
Automations
Schedule CVE patches, dependency bumps and migrations, all under the same policies as interactive work.
Approved models only.
Your choice, per team.
Allowlist providers by team, repo or data classification. Keep regulated code on self-hosted open-weight models inside your network, and use frontier models everywhere else.
ClaudeGPTGeminiLlama
MistralQwenDeepSeekSelf-hosted
+ Any model behind an OpenAI- or Anthropic-compatible endpoint, including private deployments
[ 04 ] Pricing
Governed from day one
Solo
$0
For individual developers
- CLI + desktop app
- Local sandboxed agents
- Personal policy file
- Bring your own model key
Team
$40/seat/mo
For teams shipping with agents
- Cloud agent runners
- Shared policies & approvals
- Security review on every PR
- 90-day audit log
Enterprise
Custom
For regulated organizations
- VPC, on-prem or air-gapped
- SSO, SCIM & SIEM export
- Unlimited audit retention
- Compliance evidence packs
Agents your security
team can say yes to
Free for individuals · Security review for teams