e-volv
Now in public beta

Ship thework, notthe tickets

A control plane that reads your repositories and trackers, runs agents against them under playbooks you can read, and reports exactly what it did.

4 min
Median time to first review
34 reviewed PRs
159
Reviews written by the agent
3 requested changes
0
Written by a human
in this repository’s history

Measured 28 Aug 2026 across every merged pull request in e-volv’s own repository, since the agent went live on 10 August.

Works with your toolchain

GitHub
GitLab
Bitbucket
Azure DevOps
Jira
Linear
ClickUp
OpenAI
Anthropic
Azure OpenAI
AWS Bedrock
OpenRouter
DeepInfra
Figma
Datadog
Coralogix
Notion
Confluence

The work was always the point. The tickets were bookkeeping.

Watch it work
79 sec

Seventy-nine seconds of the actual product

No mockups. Every frame is a recording of e-volv running against a live repository — building a workflow, executing it, and reporting what each agent did.

Jump to

The actual product

01Build it on the canvasTriggers, agents, CI and ticket nodes. Publish when it reads right.
The workflow builder: a monthly schedule trigger, an agent step that enumerates access and flags risk, an owner approval gate and a create-ticket step wired top to bottom, with the node palette on the left and workflow settings on the right.
02Read back what it didEvery step, its duration, the tokens it spent, and the cost.
An execution detail: status completed in 19.8 seconds for $0.07, two steps listed, and the agent step opened to show what it wrote, the model it used, three iterations and the two tools it called.
03One board across three trackersJira, Linear and ClickUp. Start a run from any card.
The ticket board: one board carrying tickets from Jira, Linear and ClickUp in New, In Progress and Done columns, each card able to start a workflow run.
Platform
6 pillars

One control plane for the entire SDLC

  1. Plan with intent

    Turn tickets, pull requests, and cron schedules into structured workflow triggers that understand context.

    Tickets on a connected board, each able to start a run
  2. Build with agents

    Multi-agent sessions use MCP servers, custom tools, and sandboxed execution to write, review, and refactor code safely.

    Agent nodes wired onto the workflow canvas
  3. Review with context

    A tree-sitter map of every symbol and call in the repository, ranked by what the rest of the code depends on — so agents retrieve by meaning, not by string match.

    The code map — symbols, callers, and rank
  4. Deliver with confidence

    Track executions, token budgets, and audit events in one dashboard designed for engineering teams.

    Executions, tokens and cost in one dashboard
  5. Budget-aware by default

    Set per-workflow token limits and get alerts before costs spike.

    Alert rules over the numbers, before a spike lands
  6. Audit everything

    Every trigger, decision, and action is logged for compliance and debugging.

    One run, opened — what every step did
Tickets on a connected board, each able to start a run

88 playbooks

Import one, it arrives configured
Planning
4 boards

A product manager's view of work in flight

Connect as many boards as your team actually uses and read them as one. e-volv does not import your tickets — it works them where they live.

Jira·ATMprojectJira·Deliveryagile boardLinear·CoreteamClickUp·Backloglist
New2

Rotate the vault key

ATM-42

Flaky checkout spec

CORE-8
In progress2

Board picker empty state

ATM-39

Backfill audit events

8ktz1
Done1

Retry CI on timeout

CORE-6

Every tracker on one board

Jira, Linear and ClickUp tickets land in the same three columns. Filter by provider, board, assignee or label without opening three tabs.

More than one board per tracker

Connect several Jira projects and agile boards, several Linear teams and projects, or ClickUp spaces, folders and lists — from a single connection each.

Connect by pressing a button

Linear and ClickUp authorize over OAuth, then e-volv discovers what you can see and you tick the boards you want. No token pasting.

Drag to move, for real

Dropping a ticket in another column transitions it in the tracker itself. Bodies and comments render as Markdown, the way the agent wrote them.

Run a workflow from the ticket

Pick a published workflow in the ticket drawer and it runs against that ticket, with the ticket already resolved into the trigger payload.

Product
second product

e-volv observer

Capture from three SDKs or any OpenTelemetry collector, search months of events with a small query language, and let the incident builder name what failed first, how far it spread, and why — then hand it to a playbook.

The hub graph — how a failure travelled between services

Errors

Thousands of events fingerprinted into the few groups that matter, with merge, split, and an alert when a fixed group comes back.

Incidents

When errors burst, the builder walks the failing traces, ranks the roots by trace share and onset order, and reverses the call graph to compute the blast radius.

Hub

Every project in the workspace on one service graph, sized by volume and bordered by error ratio — where a failure travelled, not just where it landed.

Product · coming soon

e-volv jacker

Describe what you want. Jacker scaffolds the stack, plans the feature, builds it with Claude Code, and runs expert reviewers before applying a single line of code.

Scaffold

Start from a proven stack

Pick from 8 production-ready stacks — React + NestJS, Next.js + Supabase, SvelteKit + Fastify, and more. Jacker generates the deterministic skeleton, wiring, and tooling you need.

Plan

Turn ideas into structured plans

Describe a feature in plain English. Jacker produces a persisted markdown plan in your repo so the team can review scope before any code is written.

Build

Chat-driven development

Claude Code plans, writes, and edits files across frontend, backend, database, and infrastructure. Freeform chat, bug fixes, and chores all flow through the same engine.

Review

Expert reviewers catch issues early

Senior code reviewer, security, frontend, backend, database, and deployment experts run read-only reviews in parallel and feed findings back to the builder.

How it works
4 steps

From event to execution in seconds

Trigger

PR opened

on: pull_request.opened
running

Identify repo

context fetched

repo.identify()
queued

Agent runs

tools invoked

agent.run(tools=12)
queued

CI executes

workflow delivered

ci.executeWorkflow()
queued

What is in the box

88
Playbooks, ready to import
18
Integrations
44
Tools an agent can call
16
Node types on the canvas
5
Model providers

Point it at a repository