Senior engineer directing AI agent workstreams

AI-Accelerated Engineering

AI DevelopmentSenior Engineering

Senior engineers directing parallel AI agent workstreams to ship production code faster — migrations, audits, refactors, and features, with every diff reviewed by a human before it ships.

Senior-Reviewed
Agent Workstreams
Production Code

The Offer

Agent Workstreams +Senior Review

Parallel AI agent workstreams for migrations, audits, large refactors, and new features with a senior engineer consolidating and reviewing everything before it ships. Tests and documentation are generated alongside the code. You get working software, not prototypes.

AI-assisted development workflow

What is AI-Assisted Development?

We build production software with AI coding agents as force multipliers — running parallel workstreams against your codebase for migrations, audits, refactors, and new features. Agents are fast and tireless. They are not a substitute for judgment.

That's why senior direction and review is non-negotiable: a senior engineer scopes every workstream, sets the architecture, and reviews every diff before it merges. AI accelerates the work — senior human engineers own architecture, review, and quality.

What Agents Do Well

Code generation, migrations, audits, large refactors, test coverage — high-volume work executed in parallel, at a pace no human team can match.

What Humans Own

Architecture, trade-offs, and judgment. A senior engineer directs every workstream and reviews every diff before it merges.

Quality Gates

AI-assisted test generation and security review passes catch regressions and vulnerabilities early — ahead of the human review gate every merge passes through.

Production, Not Prototypes

React, TypeScript, and Tailwind builds with tests and documentation generated alongside — working software you can ship and maintain.

Five Steps. One Review Gate.

Production Code

1
Step 1Senior Engineers Plan

Scope & Architecture

A senior engineer maps your codebase, defines the target architecture, and breaks the work into workstreams that agents can execute safely in parallel.

Codebase mappingTarget architectureWorkstream designGuardrails & conventions
2
Step 2Build in Parallel

Agent Workstreams

Parallel AI agent workstreams run against the codebase — code generation, migrations, audits, refactors — each directed by a senior engineer.

Parallel executionMigrations & refactorsAudits & analysisSenior direction
3
Step 3Senior Engineer Gate

Consolidate & Review

A senior engineer consolidates the agent output, resolves conflicts, and reviews every diff. Nothing merges without human review.

Output consolidationEvery diff reviewedHuman merge gateSecurity review pass
4
Step 4Prove It Works

Test & Verify

AI-assisted test generation extends coverage across new features and refactors; the suite runs against every change to catch regressions before they ship.

Generated test coverageRegression checksCI on every changeVerified behavior
5
Step 5Working Software

Ship & Handoff

Production code lands in your repository with tests and documentation generated alongside — plus a handoff your team can build on.

Production deployDocs alongside codeClean handoffYour repo, your code
Step 1: Scope & Architecture
Step1

Scope & Architecture

Senior Engineers Plan the Work

Every engagement starts with senior engineers, not agents. We map your codebase, agree on the target architecture, and break the work into workstreams that can be executed in parallel without stepping on each other.

What Happens
  • Codebase walkthrough and mapping
  • Target architecture and trade-off decisions
  • Workstream breakdown and sequencing
  • Conventions, guardrails, and review criteria
You Get
  • Agreed scope and architecture
  • Workstream plan agents can execute safely
  • Clear definition of done
Step 2: Agent Workstreams
Step2

Agent Workstreams

Build in Parallel

Parallel AI agent workstreams run against the codebase — code generation, migrations, audits, and large refactors. Each workstream is directed by a senior engineer who sets its brief and checks its course.

What Happens
  • Parallel agent runs per workstream
  • Migrations, refactors, audits, features
  • Senior engineers steering each stream
  • Continuous progress checkpoints
You Get
  • Draft changes across every workstream
  • Audit findings and analysis
  • Work at a pace a single team can't match
Step 3: Consolidate & Review
Step3

Consolidate & Review

The Human Merge Gate

A senior engineer consolidates agent output, resolves conflicts, and reviews every diff line by line. AI-assisted security review flags common vulnerabilities early — but nothing merges without a human sign-off.

What Happens
  • Consolidation of agent output
  • Line-by-line diff review
  • AI-assisted security review pass
  • Conflict resolution and cleanup
You Get
  • A coherent, reviewed changeset
  • Security findings addressed
  • Human accountability for every merge
Step 4: Test & Verify
Step4

Test & Verify

Prove It Works

AI-assisted test generation extends coverage across new features and refactors. The suite runs against every change so regressions are caught by machines first — and verified by humans before anything ships.

What Happens
  • AI-assisted test generation
  • Regression suite on every change
  • Behavior verification against the spec
  • Performance and edge-case checks
You Get
  • Extended test coverage
  • Verified, regression-checked changes
  • Confidence backed by a running suite
Step 5: Ship & Handoff
Step5

Ship & Handoff

Working Software, Documented

Production code lands in your repository with tests and documentation generated alongside. You keep the code, the history, and a handoff your team can pick up and extend — no black boxes.

What Happens
  • Deployment to your environment
  • Documentation generated with the code
  • Handoff walkthrough with your team
  • Follow-up support as agreed
You Get
  • Production code in your repo
  • Tests and docs alongside every change
  • A codebase your team can own

Real footage: our own ChromaDriftBand component, typed from the live codebase — every character is real code.

Who Is This For?

AI-accelerated development fits wherever there's more engineering work than engineering capacity — and quality can't be the trade-off.

Migration Backlogs

Teams staring down a large migration or refactor backlog — framework upgrades, language migrations, monolith carve-outs — that never fits into a sprint.

What you get:

  • Parallel agent workstreams eat the backlog
  • Senior engineers own the architecture
  • Every diff human-reviewed before merge
  • Tests generated alongside the changes
Ryan H
Your Engineer

Ryan

AI-Native UX Leader & Engineer

Your build isn't handed off to an agent farm. Every workstream is scoped, directed, and reviewed by a senior UX/UI designer, researcher, and prototyper who ships production software with AI tools daily. Years of hands-on experience applied directly to your codebase.

UX Research (Design Sprints) Instructor, UC Berkeley Extension
View Portfolio
Experience
  • 20+Years Experience
  • 4Continents
  • 15+Industries
  • B2B & B2CBoth Worlds
Industries
  • Cloud Infrastructure
  • Enterprise Software
  • Healthcare
  • E-commerce

Trusted By Teams At

A career spent partnering with teams at every scale — from DocuSign to Louis Vuitton to Oracle — shipping products used by billions.

Investment

Ship the Backlog Without Betting on Autopilot

The Real Risk

The risk isn't using AI to build software. It's using AI without senior engineers directing it — unreviewed code that ships fast and breaks in production.

AI accelerates. Senior engineers own architecture, review, and quality.

Ready to build?

Pricing is determined after our initial discovery call based on your codebase, scope, and engagement shape.

Book a 30-minute call to walk through your backlog and see if AI-accelerated development is the right fit.

Book a Discovery Call

What's Included

Senior engineers directing every agent workstream
Parallel workstreams for migrations, audits, refactors, and features
Human review of every diff before it merges
AI-assisted test generation and security review passes
Documentation generated alongside the code
Production code delivered in your repository

Engagements are shaped to the work — a scoped migration, an audit, or ongoing build capacity. Let's find the right shape on the call.

Details

FAQ