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AI software factory

Your backlog.
Shipped.

Kniffco is an AI software factory — it takes tasks from your backlog and returns reviewed, ready-to-merge changes. End to end.

Book a demo How it works ↓
  • Runs in your infrastructure
  • LLM-agnostic
  • Multi-repo out of the box
  • Your Jira · your GitLab

02 · The bottleneck

Code generation isn't your bottleneck

  1. 01

    AI copilots make developers faster

    They speed up writing code — one fragment of one technical task.

  2. 02

    But the whole chain lies between a need and a release

    Analysis, decomposition, code, QA, review, delivery. That chain still runs on people — and stalls on them.

  3. 03

    Kniffco runs the chain end to end

    A business requirement goes in. A shipped change comes out.

The bottleneck isn't code generation — it's turning a business need into shipped software.

03 · How it works

From your tracker to a merge request — no hand-offs

Works inside your existing process — nothing to replace, nothing to migrate.

01 →Intake

Kniffco picks up a task from your Jira.

02 →Requirements

Analyses, clarifies, decomposes.

03 →Design

Solution design against your actual codebase.

04 →Build

Code and tests written, QA executed, defects fixed automatically.

05 →Review

Internal code review by a separate agent, with review gates.

06Merge request

A reviewed MR lands in your GitLab. Your team stays the final gate.

Inside your networkYour repository, the agents, build, test and QA runs, the merge request.

The only thing that leavesTask context, sent to the LLM endpoint you nominate — your tenant, your contract, your region.

04 · Your backlog, actually closed

That backlog you'll “get to eventually”? We close it.

Every team has one: bugs everyone works around, small tasks that never fit a sprint, tech debt quietly slowing everything down, MVPs that stay ideas. They sit for months — not because they're hard, but because your team is busy shipping features, and nobody hires for the “someday” pile.

That pile is exactly what Kniffco is built for.

Bugs

The defects everyone has learned to live with. Limited context, isolated in one system — ideal factory work.

Closed.

Compact tasks

The 1–2-day tasks that never make the sprint. Fed to the factory in parallel.

Done.

MVPs & prototypes

Hypotheses waiting for free hands that never come. Built without pulling anyone off the roadmap.

Shipped.

Tech debt

Low priority for the roadmap, high value for your platform. Paid down continuously, task by task.

Resolved.
10–30%

of a typical team's backlog can go to the factory today.

Not everything belongs in the factory: we don't take architectural decisions, changes that fan out across half your services, or bugs nobody can reproduce. Those stay with your engineers — which is where you wanted their time anyway.

05 · Outcomes

What changes

Without Kniffco

40%

of engineering time goes to routine work

10%

lost to idle time between steps

—

cycle time capped by who's available

With Kniffco — observed on our delivery pipeline

95–150 min

per full task cycle — intake to merge request

Parallel

execution — scale delivery without hiring

Per task

transparent cost — you see what each change costs

06 · A different class of tool

Where Kniffco sits in the AI landscape

AI development tools are not one category. Each class solves a different problem:

Copilots & IDE assistants

Make an individual developer faster. The effect is capped by that developer's time and attention.

App builders

Turn a prompt into a working prototype — great for starting from zero, not built for your existing codebase and process.

Autonomous AI developers

Take a technical task and return code — a single executor, and its reasoning runs in the vendor's cloud no matter where you deploy it.

Kniffco — a delivery platform

A team-grade, multi-agent pipeline that takes a business task and closes it whole: full workflow with review gates (spec → design → implementation → QA → verification), running in your infrastructure, on your Jira and GitLab, in your existing codebase — multi-repo, LLM-agnostic.

Copilots make developers faster. Kniffco makes tasks disappear from your backlog.

07 · Start with a pilot

See it run on real tasks

Start with a pilot: ten tickets from your existing backlog, three weeks, one repository, one reviewing engineer on your side. You pay only for merge requests your reviewer accepts — rejected ones aren't invoiced, nothing up front. Then you decide with numbers on the table.

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