Your app in 22 languages. Without the fragmented toolstack that's killing your sprint velocity.

By the time the translations come back, the feature has already been refactored.

The localization cycle in a SaaS product team follows the same pattern. A developer adds new strings to a feature branch. Someone extracts them — manually, or with a script that needs to be maintained. The strings go to a translation tool or an agency. Translations come back a week or two later. The developer merges them, discovers that the feature was already updated since the strings were sent out, and now the translations are stale.

Meanwhile, the TMS bot and the feature branch both wrote to the same localization file. The result is a three-way merge conflict that has nothing to do with the feature and takes forty minutes to untangle.

From the community:

The problem isn't the translation quality. It's the workflow model — a human-centric pipeline attached to an engineering process that runs faster than it can keep up with.

Translations commit to your repository when developers push code — on a branch that doesn't conflict with your feature branches.

The Flixu GitHub App watches your monitored file paths. When a developer pushes new or changed strings, the app detects them, runs the translation pipeline with your Glossary and Brand Voice active, and commits the translated files to a dedicated localization branch — structurally separate from your feature branches.

The feature PR and the localization commit never touch the same files at the same time. The three-way merge conflict that stops the sprint doesn't happen because the files are separated at the branch level, not just at the process level.

For teams shipping weekly or more frequently, this means localization stops competing with development for the same repository files. The German version of a feature ships when the feature ships — not two sprints later.

According to CSA Research, 76% of software buyers prefer products in their native language. That preference only becomes revenue if the localized version is ready on the same release cycle as English.

→ GitHub App setup and configuration: GitHub Integration

"Settings" is "Einstellungen" — not "Konfiguration" or "Optionen." Every time. Everywhere.

A SaaS product with hundreds of UI strings updated across dozens of sprints accumulates terminology decisions. Without systematic enforcement, the same UI concept appears as multiple German words across different parts of the interface. Users navigating from the onboarding flow to the settings panel to the help documentation encounter inconsistent vocabulary — and it signals, even if subtly, that the product wasn't built for their market.

Flixu's Glossary loads your approved terms as payload constraints before the language model generates output. "Settings" maps to "Einstellungen" because the constraint was specified before generation, not checked afterward. Variables and placeholders — {{user_name}}, {count}, <strong> tags — are extracted from the text before translation and re-injected into the output file. The translated file is structurally identical to the source; the developer doesn't fix broken placeholders.

Teams using pre-translation glossary enforcement typically find terminology inconsistency drops from 15–25% of reviewed strings to under 2%.

→ Glossary enforcement: Glossary Enforcement

Your PM doesn't need to speak Japanese to know which segments need review.

In a typical localization workflow, a PM reviewing translated output either trusts it because they can't evaluate it, or they ask a native speaker — which adds time and a coordination overhead. Without a structured quality signal, the review is either superficial or slow.

Flixu's LQA scores every segment across five dimensions automatically: Grammar, Accuracy, Terminology Consistency, Formatting, and Fluency. Segments above the threshold auto-approve. Segments below the threshold appear in the review queue with the specific failing dimension marked.

A PM can see that three segments scored below threshold on Terminology Consistency — which means a glossary term is missing or incorrect — without being able to read Japanese. The review focuses on the edge cases; the rest is already approved and ready to deploy.

→ LQA and quality reporting: LQA & Quality Assurance

How the CI/CD pipeline works.

For teams using the GitHub App, the pipeline runs automatically on push. For teams with custom CI/CD setups, the Developer API provides programmatic access to the same pipeline.

→ Full API reference and authentication: Developer API

Developers, PMs, and Technical Writers in the same workspace.

The localization workspace supports the full product team without per-seat pricing that penalizes collaboration. Roles follow the platform's three-tier model: Admin (workspace configuration, billing), Project Manager (project setup, review, approval), Translator (string-level editing within assigned projects).

External reviewers — a regional marketing manager checking the Japanese launch, a native speaker verifying the French campaign — can be added as Translators scoped to their assigned projects without accessing global glossary configuration or other client workspaces.

The credit model charges for words translated, not for workspace seats. Adding a PM to the review queue doesn't change the invoice.

→ Team roles and access controls: Team Collaboration