Early access · SDLC agents

Orchestrate.
Ship. Repeat.

Yash Personal coordinates AI agents across planning, coding, review, CI/CD, and release — so startup engineering teams get larger-org throughput without abandoning the tools they already use.

Built for founding eng leads and CTOs at teams of roughly 5–50 engineers.

The problem

Copilots help people type. Delivery still stalls.

Planning, implementation, review, CI, and release live in different tools and different heads. Generic coding assistants speed up a single author — they do not run reliable multi-step delivery across the full lifecycle.

Yash Personal is built for the gap between “AI wrote a function” and “the change is reviewed, green, approved, and shipped.”

Workflow

One pipeline. Connected agents. Clear handoffs.

Start with the stages that already define how your team ships. Agents move work forward; humans keep approval authority where it matters.

01

Plan

Turn tickets into scoped work with clear acceptance criteria.

02

Code

Implement changes in the repo with reviewable diffs.

03

Review

Check risk, style, and policy before human approval.

04

CI/CD

Run checks, fix failures, and keep the branch green.

05

Release

Ship with an audit trail and a clear human gate.

pipeline {
  plan → code → review →
  ci → release
}

Difference

Systems first. Human at the center.

Workflow outcomes, not chat demos

Agents complete multi-step delivery work — planning through release — instead of stopping at a suggested snippet.

Inside your systems of record

Work runs in GitHub, issues, and CI. Your team stays in the tools they already trust.

Guardrails and auditability

Every step is visible. Policies, approvals, and history stay attached to the run — not buried in a private thread.

Who it is for

Built for teams that already ship software for a living.

Product-led and usage-based when you are ready. Early access is founder-led so we can prove the first workflow end to end.

  • Founding eng lead / CTO

    More shipping capacity without a proportional headcount climb.

  • Startup teams, 5–50 engineers

    Reliable multi-step delivery when the stack is already fragmented across tools.

  • Teams past the copilot plateau

    Individuals write code faster; the org still bottlenecks on review, CI, and release.

Next step

Get the throughput of a larger org without the headcount.

Tell us your team size, toolchain, and the first workflow you want agents to own. We will follow up with early access details.