Kiwi Dynamics

AI for Software Development

Give your dev team an extra set of hands

Engineering teams are stretched thin and the boring parts eat the day. We build agents that assist with code review, surface the right docs, triage incoming tickets and stand up the internal tools your team keeps meaning to build but never gets to.

Let’s talk See how it works
01

Code review assist

An agent does the first pass on pull requests, catching obvious bugs, style drift and missing tests so human reviewers focus on the design that matters.

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02

Docs and knowledge search

Ask a question in plain English and get the answer from your own codebase, runbooks and wikis, with links back to the source so nobody guesses.

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03

Ticket triage

Incoming issues get labelled, prioritised and routed to the right squad automatically, with duplicates merged before they clog the board.

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04

Internal tooling

Bespoke copilots and scripts that automate the repetitive engineering chores specific to how your team actually works.

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What it does

Capabilities

Why it holds up

Built on four things we don’t bend on.

Honesty

We tell you what AI can and cannot do, then we ship the part that pays for itself.

Craft

Production systems, not slideware. Built around how you actually work.

Speed

Find the one workflow costing the most, ship it to production, prove the return.

Care

Success is hours given back to people and dollars saved. Never the size of the invoice.

Questions

FAQ

What does an agent actually do in the dev workflow?

It does the first pass on pull requests, catching obvious bugs, style drift and missing tests, answers questions from your own codebase and wikis, triages incoming tickets and builds internal tooling your team keeps meaning to get to.

Does this replace human code review?

No. The agent does the first pass so human reviewers can focus on the design decisions that matter, rather than catching everything from scratch.

How does the docs and knowledge search work?

You ask a question in plain English and get the answer from your own codebase, runbooks and wikis, with links back to the source so nobody has to guess.

Who benefits most from this?

Engineering teams that are stretched thin, where the boring parts like ticket triage, doc lookups and repetitive chores eat into the day that should go to real engineering work.

Get in touch

Talk to us about ai for software development

Tell us what you’re trying to do and we’ll reply with how we’d build it, no obligation.

Your engineers stay on the deep work that needs a human, while the agent clears the routine load that quietly burns weeks every quarter.

Let’s talk