Dedicated AI-Native Development Team, Ready to Build
Meet your
Builder Pod.
A small, senior, AI-powered nearshore team that builds fast without the bloat. Reserve a dedicated pod for your next product launch, skunkworks project, or proof of concept.
2–6
People per pod
New from AgilityFeat
Experienced teams. AI-native workflows. Built to ship fast.
AI can write code. But it can’t architect a system, make product decisions, or iterate based on what your customers actually need. Builder Pods combine the best of both: senior engineering experience and cutting-edge AI tooling.
2 Core Builders
The heart of every pod. Each Builder brings a mix of engineering and product background. These are experienced professionals who’ve shipped real products at scale.
LatAm based, US time-zone aligned
2–4 Specialist Support
When you need it, bring in the specialists. These team members are called in part-time as the work demands. No waste!
Voice AI / WebRTC specialists
Stable Pod Identity
No more assembling a new team for each client. Each pod is a stable unit that moves together from project to project so they hit the ground running every time.
Familiarity = speed
Flexible Contracts
Ongoing maintenance agreements available
Process
From interest to launch in days
01
Browse the Pods
Explore the available pods below. Check their skills, experience, and upcoming availability.
02
Reserve Your Spot
Talk to us to reserve your pod, pay for the first two weeks and sign a short contract. Your spot is held.
03
Kick Off & Build
Your pod gets started right away. Daily standups, async updates, and real product decisions from week one.
04
Extend or Wrap
Keep going week by week as long as the pod is free. When done, optional maintenance retainers keep you covered.
Available Builder Pods
3 pods. Different strengths.
All ready to build.
Each pod is a named team with published availability. Pick the one that fits your project and reserve it.
Available Now
Pod Atlas
Julio brings over a decade of frontend expertise in React and TypeScript, with a sharp focus on accessibility, clean code, and shipping usable features fast. He's at his best on workflow-heavy B2B products where technical execution needs to stay tightly aligned with business goals. Julio also leads distributed teams well, making him a steady hand when Pod Atlas is working across time zones or alongside a client's internal engineers.
Alice covers the full stack from React frontends to Rails and Node backends, with hands-on experience integrating AI tools directly into the development workflow. She's a strong fit for MVPs and POCs where versatility and fast iteration matter most. Her debugging and API integration skills mean she can move quickly without leaving a mess behind.
Product-first mindset. Tight collaboration with stakeholders, fast iteration cycles, and a bias toward shipping usable features early without compromising long-term quality.
UX/Product Design · QA Automation · DevOps
$4,500
/ Week
Available June 1
Pod Pulse
Andrea has spent over a decade building real-time, distributed web applications including video chat interfaces and multi-tenant SaaS platforms, with deep expertise in React, Node.js, and Python. She leads with a performance-first mindset that makes her a natural anchor for high-reliability, compliance-sensitive products. Andrea is equally comfortable driving technical architecture decisions and collaborating closely with stakeholders to keep delivery on track.
Juan builds and ships across the full stack, with particular strength in C#/.NET backends, real-time communication platforms, and cloud infrastructure. He's comfortable taking a product from early architecture through production launch and ongoing support. That end-to-end ownership mentality fits well in Pod Pulse's world, where reliability and continuity matter as much as feature velocity.
Performance-first mindset. They design for latency, scale, and reliability, while maintaining steady product delivery and clear communication with stakeholders.
WebRTC · DevOps · QA (cross-device & load)
$4,500
/ Week
Available April 27
Pod Nova
Daniel combines hands-on AI/ML engineering with advanced academic study, currently completing a doctorate specializing in AI and machine learning. He's the right builder when a product needs both fast experimentation and a deeper understanding of where AI is heading. That combination of theory and practice makes him a strong asset when Pod Nova is pushing into genuinely new territory.
Alfred brings full stack development together with specialized WebRTC experience, making him a core contributor on Pod Nova's voice and real-time interaction projects. His passion for AI and emerging tech keeps him at the leading edge of what the pod builds. When a product needs real-time communication and intelligent behavior to work together seamlessly, Alfred is well positioned to bridge both.
Experimentation with direction. They move fast to validate ideas, iterate on real user feedback, and evolve the architecture as the product matures.
Product Strategy · UX · DevOps · QA
$4,500
/ Week
Why it works
Software development has changed. We've adapted.
AI tools make coding faster. But the hard parts haven’t gone away — and that’s exactly where Builder Pods shine.
Ideal for innovation work
New products, PoCs, PoVs, skunkworks experiments … Builder Pods are built for the kind of work where velocity and judgment both matter.
Transparent & simple pricing
$4,500/week. No surprises. No hidden fees. 2 weeks up front to hold your spot. Extend week by week. Cancel with notice.
LatAm-based, US time-zone
Pods are based in Latin America, working real-time with US teams. AgilityFeat has been perfecting this efficient nearshore model since 2010.
Architecture still matters
Scaling, performance, cost optimization … these require experienced engineers making deliberate decisions. AI can’t replace that.
Products need product thinking
Every Builder brings a product mindset. They don’t just write code. They challenge requirements, define scope, and ship what users actually need.
AI tools, human judgment
Our teams use the best AI coding tools available. They work faster because of it, but human expertise is always in the driver’s seat.
Ready to build something?
Browse the Builder Pods above and reserve your team’s time. Or, schedule a call if you’d like to talk through which pod is the right fit for your project.
FAQS
Builder Pods: Dedicated AI-Native Development Teams
What is a Builder Pod?
A Builder Pod is a small, stable, AI-native development team: 2 senior engineers plus up to 4 on-call specialists. Builder Pods are available on a simple weekly retainer and arrives as a pre-formed team with shared, spec-driven workflows already in place. They use the best AI coding tools available, but experienced engineers are always making the real decisions. The result: a dedicated AI-powered development team that can start fast and ship with quality.
Can AI just write the code for us? Why do we still need experienced engineers?
AI tools can write code and our teams make the best of them. But they can’t architect a system that scales, make product tradeoffs under uncertainty, or figure out what your users actually need from an unclear spec. The value of an experienced dedicated AI development team is that you get both: the speed benefits of AI tooling with human engineering judgment in the driver’s seat.
What kinds of projects are Builder Pods best suited for?
Builder Pods are ideal for new product launches, proofs of concept, MVP builds, skunkworks projects, and innovation work where you need speed and judgment in equal measure. They’re not the right fit for maintaining large legacy codebases where deep institutional knowledge matters more than speed.
How much does a Builder Pod cost?
Builder Pods are priced at $4,500 per week, all-in. That covers your 2 core builders full-time. Specialist support like DevOps, UX, and QA are brought in part-time as the project needs it, so you’re not paying for bench time. There are no hidden fees, no long-term contracts, and no surprises.
Do Builder Pods have a minimum committment?
Two weeks, prepaid. After that, you extend week by week for as long as the pod’s slot is available. When the build is done, you can move into an optional maintenance retainer if you wish.