Owns an outcome in your repo and standup, delivered monthly with a 30-day exit.
What we build
One named senior engineer, a fractional bench behind them, and the same production discipline described across this site. Each comes with a way to check it.
A backlog agreed monthly around an outcome, not a ticket queue handed down weekly. The engineer is judged on whether the thing works in production.
How we prove it A working demo every week, at a fixed time in your time zone. Not a status report. A thing that runs.
Environment access resolved, 1 real integration wired end to end, and a written map of the outcome with its acceptance evidence, all inside your repository.
How we prove it If week 1 ends without merged code and that map, raise it in week 2. We would rather you did.
You meet the engineer on the first call. Fractional specialists in data, design, and QA join from the same bench when the work needs them.
How we prove it Name, history, and systems built go in the proposal. No substitution after signing without you meeting the replacement first.
3-gate triage before anything is built, specification-first development, evaluation sets grown from every caught failure, and layer-level diagnosis instead of prompt rewriting.
How we prove it Your team absorbs the method by working inside it. When the engagement ends, the method stays.
Use cases
A pod fits when there is a defined outcome, an internal owner who can decide, and no senior engineer free to carry it. These are the shapes we take on most often.
Takes a prototype that works in a notebook and ships it inside your product with evaluations, guardrails, and a cost ceiling.
SaaS · Marketplaces · Media toolsRebuilds the spreadsheet, the aging tool, or the bolted-on process as one system while the old one keeps running.
Logistics · Field service · OperationsWires the accounting, shipping, compliance, or CRM integrations that keep failing, with tests and monitoring around each one.
3PL · Contractors · FinanceBuilds mobile workflows that keep working without signal and sync cleanly when technicians are back online.
Trades · Utilities · InspectionsBuilds the ingestion, indexing, and retrieval pipeline that lets your product answer questions from its own data.
Knowledge tools · Creative software · SupportTurns a manual review thread into a structured pipeline with roles, sign-off, scheduling, and an audit trail.
Agencies · Regulated marketing · PublishingOwns the slow pages, the flaky jobs, and the on-call noise until they are measured, fixed, and monitored.
Scale-ups · Platforms · E-commerceSets architecture, review standards, and delivery rhythm for a team that ships but has nobody senior to steer it.
Founder-led · Post-acquisition · Non-tech companiesClient stories
Each one began as a defined outcome with an internal owner on the client side. Each one shipped inside the client repository, with a weekly demo along the way.
One system from customer request to invoice, with offline-first field workflows and QuickBooks sync.
Read story
Receiving, FCFS/FEFO allocation, pick/pack, shipping, and compliance in one operational spine.
Read story
A local-first desktop app with RAG over screenplays, notes, and lyrics, preserving Final Draft formatting.
Read story
The full monthly content lifecycle for finance broker brands, from onboarding to approval to publishing.
Read story
AI Smart Resize turns one creative into platform-ready layouts that keep brand spacing and typography.
Read storyHow we ship
Every pod runs on the same four commitments, written into the contract before the engineer starts.
The first week ends with merged code and a written map of the outcome.
The engineer’s day overlaps your morning, which is when decisions get made.
The person in the proposal is the person who starts.
A vendor’s forward deployed engineer deploys you deeper into that vendor’s stack. Ours does not.
OWNERSHIP AND EXIT
WHAT A POD IS NOT FOR
FAQ
Straight answers about embedding an engineer in your team. If yours is not here, ask it on the call. We answer the hard ones first.
Ask the hard oneOwnership. Augmentation bills hours against your backlog. A pod owns a defined outcome, demos weekly, and is judged on whether the thing works in production.
Named before you sign, on the first call, in the proposal. The substitution policy is published on the page.
It works when decisions get written down and fails when they do not. If your team cannot work asynchronously at all, say so and we will tell you this is the wrong buy.
Yes, contractually, in your repositories, assigned on payment.
30 days notice, prorated, handover runbook, and your code stays in your repository. You are not locked into a year to find out.
Start the conversation
Their name, their history, and the systems they have built go in the proposal, on the first call.
Docker 
Kubernetes 
AWS 
GCP 
Azure 
OpenAI 
GraphQL 
Vercel