pier
pier is an open-source CLI tool that spins up isolated EC2 instances on your AWS account for each AI coding agent session. Every agent gets its own VM and EBS disk, preventing port and file conflicts when running multiple concurrent sessions. The tool automatically parks idle instances to minimize AWS spend, resumes them in about 20 seconds, and integrates with GitHub to transfer repositories and secrets into each session. Your team can attach to live sessions via tmux for debugging, resize instances mid-work, and bake per-repo images to accelerate future agent startups. All code and infrastructure remain under your control on your own AWS account.
pier is an AI agent, integrating with AWS, GitHub, Claude Code, and Codex. InnovaAI scores it 4.7/10 for agency adoption, best for Founder, DevOps Engineer, and Project Manager roles handling 5+ client meetings per week.
Agency Audit
pier provisions isolated EC2 instances on your AWS account for each AI coding agent session, eliminating port conflicts and enabling concurrent agent work without third-party code storage. DevOps and software development agencies running multiple Claude Code or Codex sessions benefit most, since pier auto-parks idle VMs to cut costs and resumes them in 20 seconds. The tool integrates with GitHub for repo transfer and supports MCP servers, giving your team full infrastructure control and data sovereignty.
3recommended
36/mo
No paid plan published
Moderate
Illustrative scenario. Not a guarantee. Net capacity needs a verified paid base plan, and none is published for this service, so it is not modeled. Hours saved come from the service estimate; implementation, taxes, and unprovided usage charges are excluded.
- Founder handling concurrent AI agent session management
- DevOps Engineer handling agent session debugging and code review
- Project Manager handling infrastructure cost optimization for agent workloads
- Your agency runs fewer than 2 concurrent AI agent sessions per month, making the AWS account overhead and CLI tooling cost more in setup time than the tool saves.
- Your team lacks AWS account access or DevOps expertise to manage EC2 instance provisioning and EBS disk configuration without external support.
- Your workflow relies on hosted agent platforms (e.g., Anthropic's Claude Projects) and you cannot migrate to self-managed infrastructure without retraining your entire development process.
Internal Adoption Path
No paid plan published
36 hr/mo
3 seats × 12 hr each
$2,700/mo
modeled at $75/hr labor rate
No paid plan published
Illustrative scenario. Not a guarantee. No verified paid base plan is published for this service, so subscription cost and net capacity are not modeled. Implementation, taxes, and unprovided usage charges are excluded.
Platform Features
Core capabilities of pier
Isolated EC2 instance per agent session
Each AI coding agent runs on its own dedicated VM with a separate EBS disk, eliminating port conflicts and file-system collisions. Your Project Managers can spin up multiple concurrent agent sessions without queuing or manual resource arbitration.
Auto-park idle VMs to cut costs
pier automatically suspends unused instances and resumes them in about 20 seconds when needed. Your DevOps lead or Founder can set idle thresholds to minimize AWS spend without manually stopping instances between agent tasks.
GitHub repository and secrets transfer
pier integrates with GitHub to automatically transfer your repo and environment secrets into each agent session. Your development team avoids manual credential setup and reduces the risk of secrets leaking into logs or third-party platforms.
tmux session attachment for live debugging
Developers can attach to running agent sessions via tmux to inspect code, review agent decisions, or intervene in real time. Your technical leads gain visibility into agent behavior without restarting the session or losing context.
Per-repo disk images for faster setup
pier bakes repository-specific VM images so subsequent agent sessions start with dependencies and code already in place. Your Project Managers reduce agent session startup time from minutes to seconds, compressing project timelines.
Localhost proxy for dev server access
Agents can proxy development servers running on your local machine to localhost within the VM, enabling testing and integration workflows without exposing internal infrastructure. Your developers test agent-generated code against staging environments securely.
What Makes pier Different
Unique advantages vs similar tools in this niche
Runs on your own AWS account
vs Hosted agent platforms like CodespacesYour code, secrets, and credentials stay on your infrastructure, not a vendor's sandbox.
Auto-parking reduces idle cost to ~$3-4/mo
vs DIY EC2 that bills 24/7 unless scriptedSupervisor parks the VM when idle, cutting compute costs dramatically.
Agent-ready environments with harnesses and MCP preconfigured
vs Codespaces requiring per-repo configurationClaude Code and Codex installed and authenticated, MCP servers configured automatically.
Value Equation
Outcome-likelihood-time-effort assessment for pier
Limited agency channel
pier scored below the agency-resellability threshold (agency_fit_score < 50). The Value Equation projects agency-side outcomes, which don't apply to tools without a clear resell pathway.
Contact pierPricing
pier platform cost to your agency
Pay as you go
- No monthly subscription required
- Pay only for what you use — see per-unit rates below
- Cancel anytime, no contract lock-in
How usage-based pricing works
pier charges per consumption unit (per hour (running)). Below are the component rates the vendor publishes. Each row is a separate charge: your total cost combines them based on your configuration and volume. Component rates range from $0.04 per hour (running).
Final agency cost = (sum of selected component rates) × client usage volume. Confirm a usage estimate with each client before quoting.
Component Rates
Cost per unit: total depends on your configuration and volume
Add-ons
Optional extras priced on top of any main plan
No verified white-label program for pier: client-facing delivery runs under the platform's native branding.
Reality Check
Adoption requires AWS account setup and CLI familiarity from your development team. The per-hour cost model ($0.04/hour running) means teams must monitor session discipline to avoid runaway bills, and the 20-second resume time works only for workflows tolerating brief delays.
Moderate effort: standard configuration with some customization needed
How This Accelerates White-Label Services
Who It's For
- ✓ai-development-agencies
- ✓devops-agencies
- ✓software-development-agencies
Acceleration Steps
- 1Create your account and complete setup wizard
- 2Configure launch isolated ec2 vm per agent session
- 3Connect AWS
- 4Launch your first client project
Academy for pier
Work through it in order: the course for this service first, then the modules behind it.
No Academy modules are published for this service yet. Browse the full Academy
Why this category matters
The commercial case before the tooling.
Core concepts
The mental model you need to price and scope the work.
- Wiring Over WidgetsConcept
The AI agent itself is a commodity, but the value for agencies lies in the integration layer: connecting a pre-built agent to a client's CRM, calendar, and review cycle. This framework shifts focus from selecting the 'best' agent to mastering the wiring process. For example, an agency using Vendasta's white-label AI receptionist for a local business must configure it to match the client's booking rules and follow-up cadence, turning a generic tool into a tailored service. As agentic AI adoption grows (77% of decision-makers now run agents in production), clients expect this customization. Agencies that treat agents as components and invest in repeatable wiring processes can charge retainers for ongoing optimization, rather than one-off setup fees.
- Wiring Over WidgetsConcept
The AI agent market sells finished workers, but the strategic value for agencies lies not in the agent itself, which is increasingly a commodity, but in the wiring that connects it to a specific client's CRM, calendar, and review cycle. This framework, 'Wiring Over Widgets,' argues that agencies that treat agents as components rather than products win. The agent is the widget; the wiring is the integration, customization, and ongoing optimization that turns a generic tool into a tailored solution. For example, a white-label platform like Vendasta provides AI employees, but the agency's role is to configure them for each local business's unique lead flow and follow-up process. This wiring is where retainer pricing originates, as it requires ongoing maintenance and adjustment. Recent research shows that 88% of B2B marketers face foundational gaps, meaning clients need help not just deploying agents, but ensuring their operations can support them. Agencies that master the wiring can charge a premium for the irreducible value they add.
- Integration MoatConcept
The Integration Moat framework holds that the durability of an AI agent engagement is determined by how deeply the agent is wired into a client's existing systems, not by the agent's underlying capability. Since the agent itself is increasingly a commodity, the switching cost for the client lives in the integrations: the CRM fields mapped, the calendar sync, the review-cycle triggers, and the exception-handling rules. Agencies that invest in this wiring create a moat that competitors offering generic agents cannot cross. For example, a white-label platform like Vendasta lets an agency deploy an AI receptionist for a local business, but the real value is in configuring it to the client's booking flow and follow-up cadence. With 77% of AI decision-makers now running agentic AI in production, clients expect this depth, and agencies that deliver it convert one-off projects into retainers.
Decision and risk
How to judge the fit, and the ways it goes wrong.
- AI Agents Rule: Wire the Agent, Not the ProductEvaluation Rule
Treat the AI agent as a commodity component and focus your value on the integration into the client's specific workflows, systems, and review processes.
- AI Agents Rule: Wire the Agent, Not the ProductEvaluation Rule
Treat the AI agent as a commodity component and charge for the integration into the client's specific systems and workflows.
- The Productized Agent Trap: Why AI Agent Services Stall Without Client-Specific WiringFailure Pattern
- The Agent-as-Product Trap: Why AI Agent Services Stall Without Client-Specific WiringFailure Pattern
8 modules selected for pier
Frequently Asked Questions
Answers about pricing, setup, implementation
pier is an open-source CLI tool that provisions isolated EC2 instances on your AWS account for each AI coding agent session. It eliminates port and file conflicts by giving every agent its own VM and EBS disk, automatically parks idle instances to reduce costs, and integrates with GitHub to transfer repositories and secrets. Your team can attach to live sessions via tmux, resize instances mid-work, and bake per-repo images for faster setup.
pier charges $0.04 USD per hour for running instances. Parked (idle) instances cost $3.5 USD per month for disk storage only. There is no per-seat license fee; costs scale with your actual usage and idle-time management.
DevOps leads and Founders gain full infrastructure control and data sovereignty by hosting agent sessions on their own AWS account instead of third-party platforms. Project Managers reduce session management overhead by auto-parking idle VMs and monitoring concurrent agent work. Development teams eliminate port conflicts and can attach to live sessions for debugging, compressing code review cycles.
For a development team running 3+ concurrent AI agent sessions per week, pier saves approximately 3 to 5 hours per week by eliminating manual port conflict resolution, sequential session queuing, and idle instance management. Actual savings depend on your team's current session discipline and whether you are migrating from a hosted agent platform.
pier is a CLI tool that provisions EC2 instances and EBS disks on your AWS account, so your team needs basic AWS account access and familiarity with EC2 concepts. Setup typically takes 30 to 60 minutes for a DevOps lead or experienced developer. If your team has no AWS background, you may need external support or training.
All code, secrets, and agent work remain on your AWS account in the EC2 instances and EBS disks you own. Canceling pier simply stops the CLI tool from provisioning new instances; existing VMs and data persist until you manually delete them from your AWS console.