The platform for agentic software development

Run agentic software development, end to end.

Intents in. Working software out. Agents plan, build, review, and ship on rails, and a person approves every release. Three questions make it trustworthy. You own all of it.

Judgment Control Quality
Analysis Design Development Testing Deployment Maintenance the loop six phases, closed

cyan dot = one intent · hollow = a human decides

The platform

One place to run it all.

Every project, every agent, the health and spend of each, on one screen. It only asks you when a human is needed.

The problem

AI made software cheap to write, not cheap to trust.

Any business can now generate an app in an afternoon. Almost none can trust what comes out: code nobody understands, that breaks in production, that no one can safely change.

Without a deep engineering bench, that leaves two bad options. Hire an agency that's slow, expensive, and owns your logic, or lean on AI coding tools that ship fast and hand you a maintenance liability you can't staff.

The bottleneck is no longer building software. It's trusting, owning, and maintaining it.

38.9%of agent-written pull requests carry at least one security smell.arXiv 2607.12428, 2026
24% → 9.5%refactoring's share of code changes collapsed as AI-written code took over.GitClear, 153M+ lines
81.1%of leaked credentials slipped past both automated and human review.arXiv 2607.12428, 2026
The approach

Three questions a model can't answer. That's where we work.

Writing code was never the hard part. These three are, and each is where a person, not a model, holds the line. Answer them, and cheap code becomes trustworthy software. This is what makes the platform different.

01 · Judgment

What is worth building?

And is this the right thing?

An agent will build whatever you point it at. Deciding what deserves to exist, and why, is human judgment. It opens every loop, and the client and the team hold it together.

02 · Control

What may an agent touch?

What can it change, and spend?

Set once per client and enforced by tools, not prompts: which agents may work, what each may change, how much time and money it may spend, and who approves a release. Rules an agent cannot step over.

03 · Quality

How does code stay trusted?

Readable, fixable, and yours?

One vetted stack, a plan and tests before any code, and checks that fail work the moment it leaves the lines. So any person can pick it up and fix it, with or without an agent.

How we work with you

One guardrail system. However you need the software delivered.

No engineers, or a team you want to move faster, the same framework keeps the code trustworthy either way.

Build new software

Net-new apps, tools, and services, built for your business, from the first request.

Replace a manual workflow

Kill the spreadsheet or manual process that leaks hours, and put working software in its place.

Run & maintain it

Hosting, monitoring, fixes, and changes, handled. Built and run, not built and abandoned.

Integrations

Connect the systems you already use, so data stops being copied by hand.

Equip your dev team

Already have engineers? The framework and guardrails give them agent speed, without the mess.

LUM Studio →

The implementation arm: consulting and custom development, every engagement powered by the platform's IP.

How it stays trustworthy

Agents do the unattended work. A human holds every gate.

Between sessions, each agent does one job under hard limits on scope and spend. A person shapes the intent, approves the plan, approves the pull request, and promotes to production.

Approve plan→ Builder→ Reviewer→ Approve PR→ Staging→ Promote→ Production
Planner best

Given a spec, it writes the plan, the interfaces, and the tests that name the behaviour, before any code.

Builder worker

Given a clear plan and tests that name the behaviour, it delivers working code overnight.

Reviewer best

Reviews every pull request against the principles, from a different model vendor than the one that wrote the code.

Observer utility

Watches production all night. Given logs and an alert, it finds the cause, drafts the fix, and hands the judgment call back to a person.

The framework

Guardrails the agents cannot step over.

Sixty-plus years of combined time building production software, poured into one bounded stack and rules enforced by tools, not prompts, so the code stays maintainable by a person.

One vetted stack

A project never chooses its foundations; it configures them. Same shape every time, so anyone can pick it up.

Tests before code

The behaviour is named as failing tests first. The builder only makes them pass.

Checks that fail fast

Boundaries, naming, coverage, and a required review fail work the moment it leaves the lines, a gate, not a suggestion.

A learning ladder

Every finding becomes a rule at the cheapest level that holds it. The system improves; the instructions stay short.

A human approves every merge

Agents work on their own branch, never on main, and can never widen their own budget or authority.

A worked example

A fifteen-minute intent. A pull request while you sleep.

A clinic asks for a report of patients whose import email differs from their portal email, flagged, not merged. You shape the intent; the plan and tests follow; the builder works overnight.

session · one intent, end to end
you  Also flag any patient with two different emails.
planner  Read model and existing dedupe. Listing those for the reviewer.
system  Six new tests fail as expected.
builder  Implementing the matcher now.
system  Dry run on the 41k-row sample. Not merging them.
observer  A fix drafted from an alert. The judgment call is yours.
Start here

Tell us the software you need built and run.

The workflow, the report, the integration, the thing your team keeps doing by hand. We'll tell you honestly what it takes and what it costs.