AI-native software development

Ship more software
with smaller teams.

LFG is an AI software factory that turns requirements into production-ready software. It plans the work, builds the features, runs the tests, documents the changes and prepares the release, while engineers review the decisions that matter.

Built for software services companies, startups and growing businesses.

Free to start · runs on your own repository · bring your own model keys

your-project/plan live
A requirement being turned into a PRD and technical plan in LFG An LFG project board: every ticket, its state and its owner A ticket executing in LFG: logs, diff and review state side by side

Plan · yours to review

1 Requirements
2 Architecture
3 Tickets

Build · runs on its own

4 Build
5 Test

Ship · your sign-off

6 Review
7 Ship

Review plans and tickets as needed. LFG makes them quick to produce, and quick to check.

An AI software factory for modern software development

Buy the outcome, or run the factory.

LFG Delivery

We own the outcome.

Hand us a requirement, a backlog or a product. You get tested, merge-ready pull requests in your own repository, against acceptance criteria agreed before we start. If it does not meet them, it is not done.

  • Growing businesses and SMBs
  • Startups and product teams
  • Backlogs that keep slipping
  • Internal tools and modernization
Have it delivered

LFG Factory

You own it. We supply the machine.

Run the factory inside your own delivery organization. Client requirements become scoped plans, tickets, tested code and release-ready work — configured to how your firm works, under your name, with your engineers holding the gates.

  • Software services companies
  • IT consulting firms
  • Digital and development agencies
  • Implementation partners
LFG for services firms

Coding got cheaper. Software delivery didn't.

A coding agent can write a feature. Someone still has to understand the requirement, find the right context, make the architectural decisions, coordinate the dependencies, verify that it all works together, and make sure the release actually meets the business objective it started from.

LFG turns those disconnected activities into one continuous delivery pipeline.

Traditional AI-assisted development

Eleven steps, and a person is the thread running through all of them.

Requirement
Developer interprets it
Developer opens Claude or Codex
Developer manages context
Code generated
Developer tests
Developer fixes
Pull request
Senior review
QA
Rework

LFG

Eight stages, and the pipeline carries the work between them.

Requirement
Plan
Architecture
Tickets
Parallel execution
Tests
Verification
Pull request / release

More than a coding agent.

Claude Code, Codex and the other coding agents are excellent execution engines. We run them inside LFG. What LFG adds is the coordination around them.

Coding agents LFG software factory
Starts with a prompt Starts with a business requirement
Works on a coding task Coordinates an entire project
The developer supplies context Maintains project context
Generates code Plans, builds, tests and documents
Sessions are managed one at a time Work is broken into dependency-aware tickets
The developer coordinates execution The factory coordinates execution
Code is the artifact PRDs, architecture, tickets, code, tests, documentation
QA happens separately Verification is part of the pipeline
The developer owns the workflow People supervise outcomes and the decisions that matter

They are the engines. LFG is the factory built around them.

Which is why better coding models make LFG better rather than redundant. See how the factory works.

Planned, not looped

You can't loop your way to working software.

Give an agent a large, loosely defined goal and let it run, and it drifts. Long-running tasks lose the thread. Genuinely complex problems do not survive being held in one long session. And because nothing is checked along the way, you find out at the end — when the work is finished, confident, and wrong in a way nobody has looked for.

The usual response is to run it again. A better prompt, a longer leash, another few hours. But iteration is not a method, and repeating an unplanned process mostly buys a more expensive way to arrive at the same place. Endless loops do not fix anything, because the missing thing was never more attempts. It was a plan.

What works is deliberate and curated. Decide the architecture before anything is built. Break the requirement into pieces small enough to check on their own. Write down what “done” means before the work starts, so passing is a fact rather than an opinion. Verify each piece as it lands, and send failures back instead of letting them accumulate into the next task. Keep a person on the two decisions that carry the most consequence.

That structure is the whole of what LFG is. It replaces the loop with a plan, and the plan is what makes the output something you can hand to a client.

The factory

From requirement to release.

Six stages. Every one of them produces something you can inspect.

01 Understand

LFG reads the requirement alongside your existing codebase, documentation and the business context around it.

Output

PRDAcceptance criteriaTechnical analysis
02 Plan

The factory settles the architecture and breaks the work into dependency-aware implementation tasks.

Output

ArchitectureTicketsExecution plan
03 Build

Tickets are executed inside isolated development environments, in parallel wherever the dependency graph allows.

Output

CodeCommitsWorking previews
04 Verify

Tests, application behaviour and the original acceptance criteria are all checked before anything reaches a person.

Output

TestsQA resultsIssue reports
05 Review

Your engineers review architecture, security-sensitive decisions and code quality — not every intermediate step.

Output

Approved changesReview trail
06 Ship

Changes are prepared for merge and deployment with the documentation that explains them.

Output

Pull requestDocumentationRelease

For software services firms

Built for the new economics of software services.

Your clients know AI can produce software faster. They will increasingly expect that efficiency to show up in your timelines and your pricing.

But handing every developer a coding agent does not change your delivery economics on its own. You still coordinate teams, requirements, QA, reviews and releases much the way you always did. LFG changes the unit of production: agents handle more of the execution, and senior engineers supervise architecture, quality and the client outcome.

Increase delivery capacity

Run more client projects without expanding your bench in proportion.

Protect margins

Capture the AI efficiency instead of simply passing fewer billable hours to the customer.

Make senior engineers multiplicative

Let experienced engineers supervise several streams of execution instead of writing every implementation themselves.

See LFG for software services firms

For businesses and startups

Need software built? Skip assembling another development team.

A customer-facing application, an internal tool, a SaaS product or a stubborn backlog — LFG can take the project from requirements through implementation and verification. Instead of paying for a large team for months, you work with a small delivery layer backed by the factory.

Build a new product

MVPs, SaaS applications and customer-facing products.

Clear a backlog

Features, bugs, integrations and modernization work your team keeps postponing.

Build internal software

Operational tools, dashboards, workflows and business applications.

Modernize existing systems

Refactoring, migrations, integrations and new functionality inside an existing stack.

Talk to us about a project

Visibility

No black-box outsourcing.

Traditional software outsourcing means weekly status meetings and waiting to find out whether a project is actually on track. With LFG the factory itself is the project record.

RequirementsArchitectureTicketsDependenciesAgent executionCommitsTest resultsQA issuesReviewsRelease status

You should not need a status meeting to know whether your software is getting built.

ticket execution
A ticket executing in LFG: logs, diff and review state side by side

Control

Your code remains your code.

Your repository

LFG works inside your existing Git workflow and your own repositories. Nothing is held hostage.

Human approval

Agents do not decide on their own what enters production. A person signs off.

Isolated execution

Build jobs run inside isolated environments, not loose on your machines.

Audit trail

Requirements, tickets, code changes and reviews stay traceable after the fact.

Model choice

Use the model that suits the job — Claude, GPT, Gemini, or open models — rather than one vendor's.

Self-hosting

Stricter requirements can run the whole thing inside your own infrastructure. The core is MIT.

Give LFG one real piece of work.

Send us a project, a feature or a backlog item. We will show you how LFG scopes it, plans it, and would execute it through the factory. Judge it on that, not on a demo.

Book a factory pilot