AI PODs: Software Delivery Shortcut

Your best choice for MVP development, scaling your startup or performing R&D

2-5 Software Engineers

AiQA specialist

A whole pack of custom AI agents

Сo-pilots to handle routine

200+ clients work with our specialists

AI POD Definition

AI POD — What Is It?

The future of transformation of classic software development with AI-postitive mindset.

It is a cross-functional team structure, including various AI tools for leaner and faster software development.

Domain-based AI POD

Small team, typically of System Architect and Product Manager, both proficient in the exact business domain, backed with AI-agent or Prompt-engineer.

High seniority level coupled with domain expertise allow such units to deliver superior-quality solutions in shortest terms.

Custom Software Development AI POD

Team of 2-5 developers, working with the strong understanding of AI capabilities.

These teams are accompanied with all industry-standard AI Copilot, which are additionally trained on our best practices and experience. They are like special forces unit, able to solve any challenge.

What we offer

AI-Backed Development Team at Your Fingertips

With our AI POD service, you gain immediate access to an elite AI-fueled team and a proven development framework. This means faster results and higher ROI for your initiatives.

AI-Backed Development Team

Access an elite AI-driven team with full-stack expertise for faster results and higher ROI.

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Custom AI Agents

Our AI copilots, trained on 15 years of JetRuby’s delivery history, boost delivery speed 2–3x while maintaining senior-level quality.

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Pre-configured Toolchains & Flexibility

Start quickly with prebuilt Docker setups and scale the team as needed, avoiding long-term commitments.

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Continuous Support & Improvement

Ongoing support and model updates ensure optimal performance and adapt to real-world changes.

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Launch Your AI POD

Secure a dedicated, AI-enabled team ready to tackle complex backlogs and accelerate delivery

How we work

Our Six-Step AI POD Workflow

Step 1
Scoping & POD Formation

Define the problem, outline goals, and assemble a lean POD of 2-5 engineers, a QA expert, and AI copilots, with a full delivery plan before the first commit.

Step 2
Tech Blueprint & Copilot Configuration

Solution architects map the stack, data flows, and AI roles, pretraining tools to reduce ramp-up time and streamline code generation.

Step 3
Prototype Delivery & AI Agent Rollout

Ship a working prototype in 7-14 days, including UI, back-end logic, monitoring, and AI agent pipelines for real-time feedback.

Step 4
Full Buildout & Smart Automation

Shift into multi-sprint cycles, extend functionality, automate QA with AiQA agents, and integrate CI/CD workflows

Step 5
Validation & Cost-Aware Refinement

Run security checks, test edge cases with AI-driven QA, and validate business logic with engineers, delivering weekly reports.

Step 6
Handoff, Scale, or Retain

Retain or expand the POD, or embed it into your internal team, with an AI stack in place to reduce future dev costs.

Talk to an AI POD Architect

Explore scope, timelines, and success metrics for your next release with our technical leads

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Our cases

Proven Results & Case Studies

Explore real-world wins where AI PODs shipped production-ready prototypes, refactored legacy codebases, and automated QA pipelines, unlocking faster releases, lower costs, and stronger ROI

Frequently Asked Questions

An AI POD is a compact, cross-functional team (2–5 developers, a QA specialist, and AI copilots) focused on fast and high-quality delivery of a single project using AI-powered tools.

AI PODs build custom software solutions tailored to your business goals — from MVPs and interactive prototypes to full-featured applications and AI-powered functionality. Whether you're launching a new product, enhancing an existing platform, or integrating AI into your workflows, the team adapts to your scope and priorities.

Thanks to agile sprints and AI automation, AI PODs typically deliver working features or prototypes within 2–3 weeks. The pace stays fast throughout, with consistent progress each sprint.

Not at all. AI PODs are designed to enhance, not replace, your internal team. They are a plug-and-play extension — ideal for accelerating delivery, filling skill gaps, or validating ideas without long-term commitment.

AI PODs can work effectively with complex or legacy systems by focusing on well-defined modules or features. We begin with a short technical assessment to identify risks and opportunities, then take a phased approach to deliver value without disrupting your core operations.

We track delivery timelines, sprint velocity, code quality (through automated code reviews and QA), and business KPIs, like reductions in time-to-market or development costs. Our clients often report improved team efficiency and faster iteration cycles when using PODs.

You can bring a clear goal or problem you'd like to solve — no detailed specs are required. We'll assemble the right AI POD, define the scope, and manage the entire delivery process from planning to the first release, keeping you informed at every step.

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