EvolveDev

EvolveDev

AI-driven SDLC observability that turns GitHub, Jira, and Slack data into DORA metrics, cycle-time insight, and team-health signals.

81/100Safe BetFree · from $7/contributor/monthFreemium

EvolveDev is a budget-friendly SDLC observability layer for GitHub/Jira-centric teams that want DORA metrics, cycle time, and Slack blocker alerts without LinearB or CodeClimate pricing. The free tier plus Starter at $7/contributor/month (and Pro at $12/contributor/month) make it cheap to test across a whole org, and the vendor publishes three measurable claims on its homepage: 32% cycle time reduction, 6-8 hours saved per engineer monthly, and 30% higher team output. We'd recommend it to a startup or mid-size engineering org standardized on GitHub and Jira. Skip it if you run GitLab or Azure DevOps as your primary stack.

Verified 6m ago · liveness 81/100 · cite: rightaichoice.com/tools/evolvedev

Best for
  • Engineering leaders (VP/Director) needing team-wide visibility
  • Engineering managers preventing burnout and improving delivery
  • CTOs demonstrating engineering impact to business stakeholders
  • Growing startups adopting DORA metrics and SDLC observability
Not ideal for
  • Individual developers or non-managerial roles
  • Teams running GitLab or Azure DevOps as primary tools
  • Organizations requiring on-premises deployment
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IntermediateEngineering Manager: most of the first value comes from connecting GitHub, Jira, and Slack — the vendor frames the initial stack connection and data collection as taking minutes, with history backfilled according to your plan (15 days on Free, 3 months on Starter, 1 year on Pro). Budget an afternoon to build your first custom dashboard and set notification thresholds. VP or CTO: expect a few daysWebAPI availableVerified 6m ago
Pricing
Free · from $7/contributor/month
FreemiumFree tier4 plans6 hidden costs
Learning curve
Intermediate
Engineering Manager: most of the first value comes from connecting GitHub, Jira, and Slack — the vendor frames the initial stack connection and data collection as taking minutes, with history backfilled according to your plan (15 days on Free, 3 months on Starter, 1 year on Pro). Budget an afternoon to build your first custom dashboard and set notification thresholds. VP or CTO: expect a few days
Runs on
Web
API available · 4 integrations
Who it's for
Engineering ManagerVP of EngineeringCTO
Live sentiment
Is EvolveDev actually worth it?

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Skip it if

Skip EvolveDev if your repositories live primarily in GitLab or Azure DevOps, or if you need on-premises deployment or more than 3 months of retained history without moving to the $12/contributor/month Pro plan.

The 30-second take
Biggest gripe

Free is capped at 15 days of retention and backfill, so any trend analysis beyond two weeks pushes you to Starter at $7/contributor/month.

Price reality

At $7/contributor/month for Starter and $12/contributor/month for Pro, EvolveDev sits well below enterprise engineering-intelligence platforms like LinearB or CodeClimate, and roughly in line with per-seat DORA tooling. It fits a seed-to-Series-C org of 20-200 engineers that wants DORA and cycle time without a six-figure analytics contract. Below 15 contributors the per-contributor model is negligible either way, so the decision is really about whether you need Pro's 1-year retention and

In short

EvolveDev — AI-driven SDLC observability that turns GitHub, Jira, and Slack data into DORA metrics, cycle-time insight, and team-health signals. Best for Engineering leaders (VP/Director) needing team-wide visibility, Engineering managers preventing burnout and improving delivery, CTOs demonstrating engineering impact to business stakeholders. Free to start; paid plans from $7/mo.

What's new in EvolveDev

Checked today

Across the latest 2 updates: 2 changelog entries.

What people actually say about EvolveDev — is it worth it?

We scanned public community sources for EvolveDev on Sep 9, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Only 0 of the posts we fetched could be positively tied to EvolveDev. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.

Viability Score

81/100
Safe Bet

How well maintained and how widely used is EvolveDev? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
90
Traction
100
Site health
95
User sentiment
50
What the vendor publishes
60

Last calculated: October 2026

How we score →

Key Features

  • Real-time DORA metrics (deployment frequency, lead time)
  • Cycle time and lead time analysis
  • Git activity metrics explorer
  • Custom dashboards for team-specific KPIs
  • Team health score (quality, business impact, burnout risk)
  • Investment allocation visualization
  • Retrospectives linking retro tasks to work items
  • Proactive Slack and email notifications for critical blockers
  • AI-powered insights and recommendations
  • AI-powered investment categorization (Pro)
  • Automated recurring reports with auto-generated insights
  • Platform RESTful APIs for custom integrations (Pro)
  • Role-based access control with custom roles and permissions (Pro)
  • Multiple GitHub organizations (Pro)
  • Multiple Jira Cloud instances (Pro)

About EvolveDev

FreemiumIntermediateAPI availableWeb

EvolveDev is an AI-driven SDLC observability and engineering operations platform for engineering managers, VPs of Engineering, and CTOs. It connects your development stack — GitHub, Bitbucket, Jira, and Slack — into a unified data model, so scattered tool output becomes a single source of truth with KPIs you can act on. You get real-time DORA metrics (deployment frequency, lead time), cycle time and lead time analysis, a Git activity metrics explorer, and custom dashboards for the KPIs your team actually tracks. Beyond raw metrics, EvolveDev surfaces team health scores covering quality, business impact, and burnout risk, plus investment allocation so you can see where engineering effort is going. Retrospectives link retro tasks to real work items; proactive Slack and email notifications flag critical blockers; recurring reports and auto-generated insights let you track the impact of process changes over time. AI-powered investment categorization, multiple GitHub organizations, multiple Jira Cloud instances, custom roles and permissions, and RESTful API access sit on the Pro tier. The vendor publishes three measurable outcomes on its homepage: 32% reduction in cycle time, 6-8 hours saved per engineer monthly, and a 30% increase in team output. It fits GitHub- and Jira-centric teams that want DORA analytics without a LinearB-sized bill.

Behind the Verdict

EvolveDev's pitch is straightforward: connect the tools you already pay for, and get the engineering KPIs your leadership asks about without buying a data-warehouse project. In practice that means a unified data model spanning VCS, CI/CD, and project management, with DORA metrics, cycle and lead time, a Git activity metrics explorer, and custom dashboards as the Starter-tier core. The homepage frames this as three steps — Measure, Improve, Iterate — and the Iterate step is where the product distinguishes itself from a plain metrics dashboard: recurring reports with auto-generated insights and customizable notifications triggered by events or schedules, so you find out a metric moved rather than having to go look. The differentiators beyond raw DORA numbers are team health (quality, business impact, burnout risk) and investment allocation. Investment allocation is the more useful of the two for a VP: it answers "where did my 40 engineers' time actually go last quarter" rather than "what is my deployment frequency." The Pro tier adds AI-powered investment categorization, which automates that classification instead of making you tag work manually. The honest constraints are structural, not cosmetic. Data retention is tiered hard — 15 days on Free, 3 months on Starter, 1 year on Pro, 5 years on Enterprise — so any analysis spanning more than a quarter of history requires Pro at minimum. Several capabilities that a scaling org will eventually need sit behind Pro: multiple GitHub organizations, multiple Jira Cloud instances, API access, and custom roles and permissions. If you run more than one GitHub org, the Starter plan effectively isn't an option. The vendor's own site also describes a web platform with RESTful APIs but documents no mobile app, browser extension, or desktop client. Where it fits: a 20-200 engineer company already on GitHub and Jira that wants DORA, cycle time, and Slack alerting in one place for roughly the price of a coffee per contributor. Where it doesn't: GitLab-first or Azure DevOps-first shops (those connections aren't part of the documented set), organizations needing on-prem deployment, or teams wanting advanced forecasting and code-quality analysis rather than delivery-flow analytics.

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Real-world workflow fit

Concrete scenarios for the personas EvolveDev actually fits — and what changes day-one when you adopt it.

Engineering Manager

You connect GitHub, Jira, and Slack on day one and let EvolveDev backfill 3 months of history on the Starter plan. You open the Git activity metrics explorer and a custom dashboard to see which engineers are carrying the most concurrent work, and you set a proactive Slack alert for cycle-time regressions above your threshold.

Outcome: You catch an overloaded engineer in week one instead of at the next engagement survey, and your sprint status updates stop being a manual spreadsheet exercise.

VP of Engineering

You use investment allocation to see the split between feature work, maintenance, and unplanned work across teams, and turn on recurring reports so the same view lands in your inbox before the monthly leadership review. On Pro, AI-powered investment categorization classifies work items automatically rather than relying on manual tagging.

Outcome: You walk into the leadership review with a defensible answer to "where did engineering time go," and you can show whether last quarter's process change actually moved cycle time.

CTO

You run a quarterly retrospective linking retro tasks to real Jira work items, then track follow-up completion against the metrics you changed. You use the ROI calculator to translate the vendor's baseline savings figures (6-8 hours per engineer monthly) into a dollar number for the board.

Outcome: Engineering impact stops being a narrative and becomes a tracked series of changes with measured outcomes attached.

Use Cases

  • Connect GitHub, Jira, and Slack to get a unified engineering metrics view in minutes.
  • Spot overloaded engineers before burnout using cycle-time and investment-allocation data.
  • Automate leadership status reporting with recurring dashboards and AI-generated insights.
  • Measure the impact of process changes over time with historical data and proactive alerts.
  • Run retrospectives that link retro tasks to real work items and track follow-up results.
  • Quantify engineering improvement savings with the built-in ROI calculator.
  • Give VPs and CTOs a high-level view of project health without chasing status updates.

Limitations

  • Your integration choices are GitHub, Bitbucket, Jira, and Slack, so a GitLab-first or Azure DevOps-first organization can't get the core data model populated.
  • Data retention is tiered — 15 days on Free, 3 months on Starter, 1 year on Pro, and 5 years on Enterprise — so any analysis that spans more than a quarter of history requires the Pro plan at $12/contributor/month.
  • Capabilities that a multi-org or security-conscious team needs are also Pro-gated: multiple GitHub organizations, multiple Jira Cloud instances, API access, and custom roles and permissions.
  • The site describes a web platform with RESTful APIs but documents no mobile app, browser extension, or desktop client.
  • The homepage's 32% cycle time reduction claim is the vendor's own figure and isn't tied to a published methodology or sample size.

as of 2026-10-08

Verification history

We have re-verified EvolveDev 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — re-checked, vendor evidence unchanged
  2. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  3. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  4. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  6. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Showing the 6 most recent of 7 verification passes.

Free to cite with attribution — this page re-verifies continuously.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published EvolveDev tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Free

$0/month

Ideal for

A small startup or a manager who wants to explore the platform across a limited dataset before committing budget.

What this tier adds

Starting tier — free entry point with access to most features but no published contributor cap, limited by 15 days of retention and backfill.

Starter

$7/contributor/month

Ideal for

A growing organization of 20-100 engineers on GitHub and Jira that wants DORA metrics and cycle time without a per-seat premium.

What this tier adds

Adds the core metrics layer over Free: DORA metrics, cycle and lead time, Git activity metrics explorer, custom dashboards, 3 months retention, and unlimited users and integrations.

Pro

$12/contributor/month

Ideal for

A multi-org or security-conscious engineering org of 50-200 engineers that needs a year of history, API access, and custom roles.

What this tier adds

Adds AI-powered investment categorization, multiple GitHub organizations, multiple Jira Cloud instances, 1-year retention, API access, custom roles and permissions, and dedicated Slack channel support.

Enterprise

Custom

Ideal for

A larger engineering organization with a procurement process that needs long-horizon historical data and a vendor-run proof of concept.

What this tier adds

Adds access to the entire platform, custom-designed POC and onboarding, custom pricing, and 5 years of data retention over Pro.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Free is capped at 15 days of retention and backfill, so any trend analysis beyond two weeks pushes you to Starter at $7/contributor/month.
  • Starter caps history at 3 months, so quarterly-to-annual comparisons require the Pro plan at $12/contributor/month.
  • Running more than one GitHub organization or more than one Jira Cloud instance is a Pro-only capability, so multi-org companies pay $12/contributor/month from day one.
  • API access and custom roles/permissions are locked to Pro, which bites when your security or platform team needs granular access control.
  • Pricing is per contributor, so the bill scales linearly with headcount — a 150-engineer org pays roughly $1,800/month at the Pro rate even without add-ons.
  • Enterprise is quote-based and solely differentiated on retention (5 years), POC/onboarding, and full-platform access, so the jump from Pro is mostly a long-horizon-data purchase.

Where the pricing makes sense

The company stage and team size where EvolveDev's pricing actually pencils out — and where peers do it cheaper.

At $7/contributor/month for Starter and $12/contributor/month for Pro, EvolveDev sits well below enterprise engineering-intelligence platforms like LinearB or CodeClimate, and roughly in line with per-seat DORA tooling. It fits a seed-to-Series-C org of 20-200 engineers that wants DORA and cycle time without a six-figure analytics contract. Below 15 contributors the per-contributor model is negligible either way, so the decision is really about whether you need Pro's 1-year retention and

Setup time & first value

How long it actually takes to get something useful out of EvolveDev — broken out by persona, not the marketing-page minute.

Engineering Manager: most of the first value comes from connecting GitHub, Jira, and Slack — the vendor frames the initial stack connection and data collection as taking minutes, with history backfilled according to your plan (15 days on Free, 3 months on Starter, 1 year on Pro). Budget an afternoon to build your first custom dashboard and set notification thresholds. VP or CTO: expect a few days

Switching to or from EvolveDev

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From manual spreadsheets: use the ROI calculator to size the gap, then connect GitHub and Jira and let EvolveDev backfill history in place of the spreadsheet.
  • →From LinearB or CodeClimate: connect the same GitHub and Jira sources, rebuild your key dashboards on EvolveDev's custom dashboard layer, and re-point status reporting to recurring reports.
  • →From a BI tool built on a warehouse export: replace the scheduled export job with EvolveDev's integrations plus the Pro-tier RESTful API for anything the platform doesn't surface natively.
  • →From Jira-native dashboards: link retro tasks to real work items in EvolveDev so follow-up tracking stops living in a separate Jira board.
Migrating out
  • ↗To LinearB or another enterprise engineering-intelligence platform: export your historical metrics before your retention window closes, since only Pro keeps a year and Enterprise keeps five.
  • ↗To a self-hosted BI stack: pull data via the Pro-tier RESTful API and rebuild DORA and cycle-time calculations in your own warehouse.
  • ↗To GitLab-native analytics: if your org standardizes on GitLab, EvolveDev's documented integration set won't cover your primary repository host.

Integrations

GitHubBitbucketJiraSlack

Resources & Guides

Tutorials & Learning

YouTube returned 6 videos for “EvolveDev”, and we withheld 6: 6 could not be judged, because “EvolveDev” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about EvolveDev.

Tools that pair well with EvolveDev

Common stack mates teams adopt alongside EvolveDev, with the specific reason each pairing earns its keep.

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