Kinelo for software product development teams

AI that ships software with your team.

Kinelo coordinates work across the software development lifecycle, with context flowing across every human-AI handoff. Coding agents arrive at tickets with what they need. Handoffs carry the work forward instead of starting it over. Less rework, faster review cycles, specs that become shipped code without the team becoming the bottleneck.

The problem

Coding agents are powerful and blind.

Coding agents can spec, plan, write code, and ship pull requests. What they cannot do, on their own, is know what your team has already figured out.

They do not know the decision from yesterday’s standup. They do not know why the convention exists. They do not know the ticket they are working on relates to the one that just shipped. They do not know who to ask when something is unclear.

So they make their best guess. Often the guess is right. When it is wrong, your team catches it in review, sends the work back, and the agent does it again with more direction. The autonomy goes away. The review queue grows. The team becomes the bottleneck for the AI.

Kinelo across the lifecycle

Context flows across every human-AI handoff.

  1. 01

    Discovery and scoping

    When a PM or engineer is exploring a new problem, Kinelo surfaces relevant prior decisions, related tickets, conversations that touched the area, and team conventions. New tickets get created with the context they need to be actionable, not just a one-line summary that someone will have to interpret later.

  2. 02

    Pre-implementation

    Before an engineer or coding agent touches a ticket, Kinelo enriches it with company context: the standup decision, the related ticket, the convention nobody wrote down, the reason the previous attempt failed. Coding agents stop guessing. Engineers stop having to brief them by hand.

  3. 03

    Implementation

    Kinelo bridges humans and coding agents during the work itself. Engineers hand off to Devin, Claude Code, Cursor, Codex, or the next coding agent your team adopts, mid-flow, without losing context. Agents ask questions back to the team in Slack when they need to, the way a teammate would. Handoffs feel like work moving between two engineers, not a context reset.

  4. 04

    Code review

    Review agents see the same context the ticket had. PR reviews land in minutes, not days. False positives drop. The conversations that matter happen on the right lines, not on the surface details that the reviewer already knows.

  5. 05

    Iteration

    Decisions made during implementation feed back into the Company Brain so the next ticket benefits from them. The team's knowledge compounds instead of decaying.

Learn more about the Company Brain →

What changes

With Kinelo coordinating the lifecycle.

  • Coding agents arrive at tickets grounded in your team's actual work, not starting cold.
  • Less rework comes back to the team.
  • Review cycles shrink.
  • The team's knowledge accumulates over time instead of leaking out when someone leaves or moves teams.
  • Engineering managers stop being the routing layer for everyone's work.
  • More of what the team ships, ships right the first time.
How this is built

Three pieces of Kinelo working together.

Company Brain

The team's context, kept current, surfaced to every actor that needs it.

Learn more

AI Management System

Coordination of work between actors, plus direct management of the AI coworkers in the team.

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Shared Work Surfaces

AI shows up in Linear, Slack, meetings, docs, and the SaaS apps your team already uses.

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Software development at AI speed, with the team still in charge.

Join the teams using Kinelo to ship more software with less rework.