Agentic Software Development · for SaaS and product companies

A senior development team that plugs into your backlog.

We call it the AI-Native Development Pod. Product Engineers running an agentic workflow, so you ship faster on a foundation that survives growth.

Talk to an engineerReply within one business day.

What brings you here?

Hiring a teamSelling to usLooking for a job

Spec

Plan

Implement

Review

Deploy

One fixed monthly price per person, set before the month starts.
An engineer replies, not a sales rep. Within one business day.
Week one asks you for repo access, one stakeholder and a backlog.
Your code, your repos. NDA on request.

We've found the nearshoring experience really beneficial, bringing products to market faster.

Charles GillespieFounder, Semantic AI (acquired by Primer.AI)

See how a Pod runs a backlog

20+Client companies acquired
92%CSAT
23+Years
250+Vetted engineers
150+Historical clients

The Problem

The market says AI will replace developers. We disagree.

AI amplifies great engineering, it doesn't substitute for it. Agents write more code than ever; the scarce thing is the senior judgment that decides what ships. A Pod is built around that judgment.

Traditional outsourced delivery

With an AI-Native Development Pod

Throughput

TraditionalSprint capacity is fixed by headcount; scope waits in the queue.

With a PodAgents implement in parallel; product engineers direct, verify, and keep the backlog moving.

Code quality

TraditionalPeer review queues stretch as volume grows.

With a PodAgent-drafted code never ships without a named human signing the gate.

Accountability

TraditionalEffort measured in hours billed.

With a PodA standing team accountable for what ships, at a fixed monthly price per person.

Bring the backlog you have today and we'll show you the right-hand column on your own repo.

Show me on my repo

How the Pod Works · AIDLC

Agents draft. Humans own every gate.

Every piece of work moves through our AI-Driven Development Life Cycle (AIDLC): five stages, with agents doing the heavy lifting at each one.

01 / 05

01Spec

The agent drafts an executable spec from your stakeholders and users' input.

Agent interviews the Product Engineer before it plans.

02Plan

The agent breaks the spec into sequenced work slices and sets the risk tier.

Gate 1 · Spec + Plan · Product Engineer signs scope and work sequence

03Implement

The agent writes code and unit tests against the plan, one slice at a time.

Gate 2 · Software Slice · Product Engineer signs the agent's evidence pack

04Review

The agent runs verification, static checks and tests.

Gate 3 · Release · Product Engineer signs staging verification results

05Deploy

The agent promotes through QA and staging, and prepares the migration and rollback plan.

Gate 4 · Production · Product Engineer signs go or no-go

01 / 05

Every cycle ships

Output of Spec stage

DocumentationMetricsCodeUnit testsQAEnvironmentsContext Store Updates

Security review runs across every stage and can block a release.

Want to see these five stages run against your codebase?

Run it on my codebase

Pod Composition

Every engineer runs the whole cycle.

Every Pod is the same shape, so it works from day one.

Pod role · every seat

Product Engineers

Takes a requirement from business context to release. Directs the agents, reads the diffs, signs the gates.

Sold as a team at a fixed monthly price per person.

01ContextGoals into a spec agents can execute
02OrchestrationDirecting the agent fleet, reading the evidence
03ReleaseQA, staging, rollback, production

Included · not billed as people

Process management agentShared context store

Ask us who would be on your Pod, by name.

Talk to an engineer

What the Pod Hands Back

Scale-ready software. Everything else is what it ships with.

You can see what moved in week one. A meaningful slice of the backlog ships inside the first month.

Scale-ready softwareThe deliverable. Built on your stack, in your repos, shipped to your production environment.
Your knowledge, keptDomain context, decisions, and conventions consolidated in the Pod's shared context store, so nothing is lost to turnover.
Unit-tested code and documentationCode ships with its unit tests, specs, metrics, and docs, generated with the work.
QA, staging, and production environmentsA complete promotion path stood up and handed over, not just source code.

Find out what would ship in your first month.

What ships in month one

Two Ways In

Wherever your engineering org is, the Pod fits

Already agent-native

We plug into your tooling on day one. Your conventions travel with the work, through the shared context store.

Not yet agentic

The Pod brings the workflow with it. Your team picks it up while we ship, and the practice stays.

Same time zone. Same working day. The Pod works your hours, so gate reviews happen inside your day, not overnight. San Diego, Tijuana, Colima, Medellín.

Not sure which one describes you? That is the first thing we work out together.

Work it out with us

Proof

Hear it from the CTOs themselves.

Unscripted.

Frequently asked questions

A team of senior engineers pre-equipped with an agentic development workflow: Spec, Plan, Implement, Review, Deploy. Work passes four gates, and a named human engineer signs each one. The Pod works your existing backlog, not a separate greenfield project, so its output is verifiable in week one.

AIDLC is how a Pod ships. Five stages, Spec, Plan, Implement, Review and Deploy, with agents doing the volume at each one and a named Product Engineer signing four gates along the way. It runs on your existing backlog, so what it produces is verifiable in week one.

Marketplaces place individuals. We don't sell single placements. The Pod arrives as a working team with its workflow, tooling, and accountability already in place. The question that matters is who owns the gate when AI-written code ships; in a Pod, a named senior engineer does.

The Pod starts on your existing backlog, so its work is verifiable in week one. Real features your team already planned, moving from spec to deploy with a named senior engineer on every gate.

It fits either way. Some clients bring in a Pod to replace an underperforming offshore team; others use it to complement and uplevel an in-house one, working the same backlog side by side.

As a fixed monthly price per person. You know the cost of the team before the month starts.

Nearshore, with full US time-zone overlap: San Diego, Tijuana, Colima, and Medellín. Headquarters are in San Diego, California.

Put a Pod on your backlog

Bring the backlog you have today. We'll walk you through how the Pod would run it, spec to deploy, gate by gate.

No obligation. A working session.
You talk to the engineers who would run the Pod.
We reply within one business day. Then thirty minutes on the calendar, if you want it.