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Generate your technical documentation automatically from GitHub

Swiftask analyzes your GitHub repositories to write, structure, and update your technical documentation. Your READMEs and wikis stay in sync with your code.

Resultat:

Stop wasting time on manual writing. Your documentation is always accurate and ready for your users.

Technical documentation is often outdated

Code evolves faster than documentation. Developers prioritize feature delivery, leaving documentation behind. The result: invisible technical debt, difficult onboarding, and a loss of critical team knowledge.

Les principaux impacts négatifs :

  • Code and doc misalignment: Recent code changes are not reflected in the documentation, misleading new team members.
  • Time-consuming writing: Manually writing changelogs or API guides is a repetitive task that distracts engineers from their core work.
  • Slow onboarding: Without clear and up-to-date documentation, integrating new team members takes weeks instead of days.

Swiftask connects your GitHub repositories to a specialized AI agent. It reads your commits, analyzes your functions, and automatically updates your documentation files. You stay in control, the AI handles the writing.

AVANT / APRÈS

Ce qui change avec Swiftask

Without Swiftask

A developer deploys a new feature. They forget to update the README file. Other team members have to read the source code to understand the changes. Misunderstandings pile up.

With Swiftask + GitHub

As soon as a Pull Request is merged, Swiftask analyzes the changes, updates the relevant documentation in your GitHub repository, and notifies the team. Your documentation is always a faithful reflection of your codebase.

How to automate your documentation in 4 steps

ÉTAPE 1 : Connect your GitHub repository

Grant Swiftask access to your repositories. Read-only access is sufficient to start analyzing your code.

ÉTAPE 2 : Define writing rules

Configure the style, format (Markdown, HTML), and sections to monitor in your documentation.

ÉTAPE 3 : Configure triggers

Choose when the agent should intervene: after every merge, upon version tagging, or on demand via a command.

ÉTAPE 4 : Validation and publishing

The agent proposes a documentation update via a Pull Request. You review, approve, and it's published.

Documentation agent key features

The agent analyzes code changes, commit messages, and function signatures to extract business logic.

  • Connecteur cible : L'agent exécute les bonnes actions dans github selon le contexte de l'événement.
  • Actions automatisées : Automatic README generation. Changelog updates. Getting started guide creation. API documentation extraction from code. Multi-language support.
  • Gouvernance native : Security is a priority: Swiftask does not store your source code beyond what is necessary for generation.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-github@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.

À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.

Why automate with Swiftask

1. Living documentation

Your documentation evolves alongside your code, without manual intervention.

2. Productivity gains

Free your developers from writing tasks so they can focus on coding.

3. Standardization

All your documentation follows the same format and quality, regardless of the code author.

4. Reduced technical debt

Clear documentation reduces errors and facilitates long-term maintenance.

5. Easier collaboration

Non-technical teams can understand changes through automatically generated summaries.

Security and privacy

Swiftask applique des standards de sécurité enterprise pour vos automatisations github.

  • Restricted access: Swiftask uses GitHub tokens limited to what is strictly necessary to analyze your code.
  • Full control: Every documentation update goes through a Pull Request that you review.
  • Data protection: No confidential source code is used to train public models.
  • Compliance: Native integration respecting your corporate security policies.

Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.

RÉSULTATS

Impact on your development cycle

MétriqueAvantAprès
Doc update timeSeveral hours per sprintAutomated (seconds)
Doc accuracyVariable (risk of oversight)100% correlated to code
Onboarding speedSlow (lack of info)Accelerated (comprehensive doc)
Documentation debtHighNear zero

Passez à l'action avec github

Stop wasting time on manual writing. Your documentation is always accurate and ready for your users.

Générez automatiquement des résumés de Pull Request GitHub avec vos agents IA

Cas d'usage suivant.