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FragonForge vs GitLab Duo

If you run GitLab, your CFO will ask: why pay another vendor when GitLab ships AI? Fair question. Here is the honest comparison, verified against GitLab's public documentation on July 15, 2026. If anything below has gone stale, tell us and we will fix it: office@fragonstudios.com.

The short version

Both products can turn an issue into a merge request. The real differences: with FragonForge the model runs on your own key and contract from day one, billing is flat instead of per-seat plus credits, GitLab CE is fully supported, and the same loop works on GitHub, Gitea, and Forgejo, with a PR-centered integration on Bitbucket Cloud. Duo wins on IDE assistance, platform breadth, and vendor maturity. Details below.

FragonForgeGitLab Duo
Autonomous issue-to-MR agentYes: label an issue, review the merge request.Yes: the Developer Flow in the Duo Agent Platform (GA since GitLab 18.8).
Whose LLM account runs your codeYours. You paste your own Anthropic, OpenAI, Google, OpenRouter, Groq, DeepSeek, or compatible key; spend and data terms stay on your existing provider contract.GitLab's managed Cloud AI Gateway with GitLab's vendor pool by default. Choosing your own models means Duo Enterprise plus deploying your own AI Gateway (Duo Self-Hosted).
Billing modelFlat per organization (EUR 0 / 29 / 99 / 299 per month) plus your own token bill, with no markup.Base tier (Premium, USD 29 per user per month) plus seat add-ons and usage-based GitLab Credits; model choice changes the credit draw rate.
Works with GitLab CE (free tier, self-managed)Yes. Forge support does not depend on your GitLab plan.No. Agentic Duo on self-managed requires a paid base tier (Premium or Ultimate).
Works beyond GitLabGitHub, GitHub Enterprise, Gitea, Forgejo, Bitbucket Cloud.GitLab only.
Execution isolation, publicly documentedPer-run Kubernetes jobs, gVisor/Kata, default-deny egress, credential-free sandbox; the full architecture is on our security page.GitLab documents data flow and sub-processors; comparable execution-sandbox detail for agent runs is not published at that depth.
EU data pathHosted on dedicated servers in the EU (Hetzner, Germany); LLM traffic goes to the provider you chose.GitLab's docs state no EU-region guarantee for the managed AI gateway path; keeping AI traffic in your jurisdiction requires the self-hosted gateway deployment.
IDE assistance (code suggestions, chat)No. FragonForge is the issue-to-MR loop, not an IDE assistant.Yes: Code Suggestions, Chat, refactor/explain/test-gen in IDEs. This is Duo's home turf.
Goal-to-pipeline orchestratorYes: give it a goal, it decomposes it into a dependency-ordered pipeline of issues and drives each through the run loop, with human approval gates.GitLab's public docs describe per-task agent flows; a dependency-ordered multi-issue orchestrator was not part of our verification either way. Judge against GitLab's current docs.
Baseline-aware quality gate on changesYes: 33 static analysis tools, only new findings flag, A to F repository rating, optional auto-fix MRs.GitLab ships SAST and Code Quality as platform features; a baseline-aware multi-tool gate over agent changes specifically was not part of our verification either way.
CertificationsNone yet, and we say so plainly on the security page.GitLab is an established vendor with a mature compliance program.

Reading tip: the GitLab CE row matters if you run your own instance on the free CE tier. On gitlab.com, and on self-managed Premium or Ultimate where a Duo base tier is already paid for, that row is not a differentiator; your rows are the LLM account, billing model, orchestrator, and quality gate ones.

When Duo is the better choice

We would rather tell you now than lose your trust later. Stay with Duo if:

  • You want IDE assistance. Code suggestions and chat in the editor are Duo's home turf; FragonForge does not do them at all.
  • One-vendor procurement wins. You are on Ultimate with an enterprise agreement and consolidation matters more than model ownership.
  • You need certifications today. GitLab has a mature compliance program; we hold none yet. GitLab also states plainly that it does not train models on your code.

When FragonForge is the better choice

  • You run GitLab CE. Agentic Duo requires a paid base tier; FragonForge does not care which GitLab plan you run.
  • Your LLM contract stays yours. AI spend and data terms stay on the provider contract you already have, without operating your own AI gateway.
  • Flat, predictable pricing. Per organization instead of per-seat add-ons plus a credit meter whose draw rate depends on the model.
  • Your repos span forges. The same loop works on GitHub, Gitea, and Forgejo; Bitbucket Cloud gets a PR-centered integration.
  • You read isolation docs first. Our security page documents the sandbox to the runtime level before you connect anything.

A worked cost example

5 engineers

GitLab DuoUSD 145/mo + credits
FragonForge TeamEUR 99/mo + your tokens

15 engineers

GitLab DuoUSD 435/mo + credits
FragonForge BusinessEUR 299/mo + your tokens

The Duo numbers are the Premium base requirement (USD 29 per user per month); agentic usage then draws GitLab Credits (USD 12 per user per month included at the moment, marked as a limited-time inclusion, then USD 1 per credit on demand). The FragonForge numbers are flat per organization, plus your own token bill at your provider's list prices.

Two honest caveats: if you already pay Premium for the DevOps platform anyway, the fair comparison is Duo's marginal cost, not the base tier. And Business billing is not self-serve yet; activating it takes one email, but the price is a listed number, not a quote.

Can they run side by side?

Yes. FragonForge reacts only to its own trigger label and its own webhook; it does not touch Duo's features or configuration. Several evaluation setups run both on the same project and compare the merge requests.

Sources: GitLab pricing and documentation (about.gitlab.com/pricing, docs.gitlab.com: feature summary, subscription add-ons, GitLab Credits, Duo Agent Platform, issue-to-MR flow, Duo Self-Hosted, AI data usage), retrieved July 15, 2026. GitLab and GitLab Duo are trademarks of GitLab Inc. This page describes GitLab's offering as their public documentation states it; corrections are welcome.