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e-volv
AI agents across GitHub, GitLab, Jira and Linear
Draw a workflow, and agents run it across your whole pipeline: review PRs, triage issues, break down tickets, write changelogs, gate releases. Works across GitHub, GitLab, Jira, Linear and ClickUp. Your model keys, your spend, human approval where you want it.
A pull request opens in GitHub. The ticket is in Linear. The changelog is a file someone edits by hand. Nothing connects them, so a person does — reads the diff, finds the ticket, checks the acceptance criteria, moves the status, writes the line.
Evolve automates that whole path, not one step of it.
You build a workflow on a canvas: a trigger, a clone, an agent, an approval gate, a publish step. It fires on a webhook or a schedule. The agent reads the diff and the linked issue together, posts the review, moves the ticket, writes the changelog entry.
88 workflows ship prebuilt. Code review and PR triage, yes — but also: break a ticket into sub-tasks with acceptance criteria, generate a technical design before anyone writes code, detect breaking changes in an API contract and name the affected consumers, find flaky tests across recent CI runs, scan dependency licences, backport a merged PR on a label, sweep dead code. Import one, point it at a repo, run it.
Three things that shape how it works:
Every agent picks its own model. Claude on the security review, something cheap and fast on the changelog. Your keys — OpenAI, Anthropic, Azure, Bedrock, OpenRouter, DeepInfra — so the spend is yours at your rate. Your code goes to the provider you picked, under the agreement you already hold with them. We don't train on it; there's no training pipeline in the product to do it with.
You can stop it. Dry-run any workflow and every step that would write returns what it would have done instead of doing it. Approval gates hold a run until a named person decides. An agent only holds the tools you give it, so a review agent without write tools cannot push a commit whatever it concludes.
You can see what it did. Every run records each step's inputs, outputs, model, duration and token cost, and replays.
You can see what it did in production, too. Evolve Observer takes logs and traces from any service — Node, Python and Go SDKs, an edge client, or plain OpenTelemetry — groups errors by the file and line that raised them, and when a burst hits, draws the failure graph across services and writes the root cause. It is a tier of its own, included with Studio.
It runs across GitHub, GitLab, Bitbucket, Azure DevOps, Jira, Linear and ClickUp — which is the part Copilot, GitLab Duo and Rovo can't do, because each stops at its own platform.
Public beta.
Free tier: 1 workspace, 3 agents, 100 executions a month, plus 20 AI runs that need no API key at all. No card. Pro is $29/user with a 14-day trial.
I'll be here all day. Hard questions especially — particularly from anyone burned by a tool that wrote something confidently wrong.
About e-volv on Product Hunt
“AI agents across GitHub, GitLab, Jira and Linear”
e-volv was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #101 on the daily leaderboard. Draw a workflow, and agents run it across your whole pipeline: review PRs, triage issues, break down tickets, write changelogs, gate releases. Works across GitHub, GitLab, Jira, Linear and ClickUp. Your model keys, your spend, human approval where you want it.
On the analytics side, e-volv competes within Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how e-volv performed against the three products that launched closest to it on the same day.
Who hunted e-volv?
e-volv was hunted by Risha Sringa Changmai. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of e-volv including community comment highlights and product details, visit the product overview.
Risha Sringa Changmai
Hi Product Hunt 👋
A pull request opens in GitHub. The ticket is in Linear. The changelog is a file someone edits by hand. Nothing connects them, so a person does — reads the diff, finds the ticket, checks the acceptance criteria, moves the status, writes the line.
Evolve automates that whole path, not one step of it.
You build a workflow on a canvas: a trigger, a clone, an agent, an approval gate, a publish step. It fires on a webhook or a schedule. The agent reads the diff and the linked issue together, posts the review, moves the ticket, writes the changelog entry.
88 workflows ship prebuilt. Code review and PR triage, yes — but also: break a ticket into sub-tasks with acceptance criteria, generate a technical design before anyone writes code, detect breaking changes in an API contract and name the affected consumers, find flaky tests across recent CI runs, scan dependency licences, backport a merged PR on a label, sweep dead code. Import one, point it at a repo, run it.
Three things that shape how it works:
Every agent picks its own model. Claude on the security review, something cheap and fast on the changelog. Your keys — OpenAI, Anthropic, Azure, Bedrock, OpenRouter, DeepInfra — so the spend is yours at your rate. Your code goes to the provider you picked, under the agreement you already hold with them. We don't train on it; there's no training pipeline in the product to do it with.
You can stop it. Dry-run any workflow and every step that would write returns what it would have done instead of doing it. Approval gates hold a run until a named person decides. An agent only holds the tools you give it, so a review agent without write tools cannot push a commit whatever it concludes.
You can see what it did. Every run records each step's inputs, outputs, model, duration and token cost, and replays.
You can see what it did in production, too. Evolve Observer takes logs and traces from any service — Node, Python and Go SDKs, an edge client, or plain OpenTelemetry — groups errors by the file and line that raised them, and when a burst hits, draws the failure graph across services and writes the root cause. It is a tier of its own, included with Studio.
It runs across GitHub, GitLab, Bitbucket, Azure DevOps, Jira, Linear and ClickUp — which is the part Copilot, GitLab Duo and Rovo can't do, because each stops at its own platform.
Public beta.
Free tier: 1 workspace, 3 agents, 100 executions a month, plus 20 AI runs that need no API key at all. No card. Pro is $29/user with a 14-day trial.
I'll be here all day. Hard questions especially — particularly from anyone burned by a tool that wrote something confidently wrong.