Kiwi Dynamics
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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.

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Everything included,
nothing bolted on.

Every build starts with a fixed-scope conversation, no surprise line items after the fact.

  • Pull request review and summaries
  • Codebase and documentation search
  • Automated ticket triage and routing
  • Test and changelog drafting
  • Onboarding copilots for new hires
  • Runbook and incident assist
  • GitHub, GitLab, Jira and Linear hooks
  • Internal admin and ops tooling

The build itself, not a proof of concept.

  • 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.

  • 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.

  • Ticket triage

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

  • Internal tooling

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

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FAQ

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.

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

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.

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.

Interested in solving your problems with ai for software development?

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

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