How is Vantage different from ChatGPT or Claude?

ChatGPT and Claude are great for one-off generation. Vantage is a full workspace. It connects your tools, tracks dependencies across projects, catches conflicts between products, and surfaces what needs your attention every morning. It also remembers every past decision, so a new PM can query across all projects and get cited answers in seconds.

Do I have to switch away from Notion or Linear?

No. You keep all your tools. Vantage connects to them and builds intelligence on top. When you're ready, you can push tickets to Linear or Jira. But the value starts before you create anything — just by connecting your tools and seeing what the intelligence layer surfaces.

What happens on day one?

You connect your tools — GitHub, Linear, Slack — 2 minutes each. Vantage indexes your existing data overnight. By the next morning, you see your first decision queue: what's stale, what conflicts, what changed. No manual setup. No templates to fill out.

What if I only manage one project?

Vantage works for single projects, but it shines when you manage 3–5 or more. Conflict detection, cross-project memory, and the decision queue are most valuable when you have multiple projects that need to stay in sync. If you manage one project, start with the free tier and see if the cited query engine alone saves you time.

All data encrypted in transit and at rest. We never train on your data — the AI providers we use are contractually barred from it. You can disconnect any integration or delete your account at any time. Pursuing SOC 2 Type II.

How does Vantage keep documents and tickets up to date?

When context shifts, you add the new information and Vantage rebuilds every connected deliverable. Documents, prototypes, and tickets all update. You review the changes, accept or reject each one, and approve. Nothing updates silently, and every change is traceable.

How do I get started?

Sign up free at app.vantageos.tech. Connect your tools, and generate your first grounded document within minutes. No credit card required. Upgrade when you need more projects or features.

Should I use rebase or merge to update my feature branch?

Use rebase if you want a linear commit history and your branch has not been shared with others. Use merge if your branch is already pushed and others are working on it, since rebase rewrites history and can cause conflicts for collaborators. Most teams default to merge for safety and use squash merge when completing the PR.

How many reviewers should a pull request have?

One reviewer is the minimum for most changes. Two reviewers are appropriate for critical paths (authentication, billing, data migrations) or changes that affect multiple teams. More than two reviewers rarely adds value and slows down the process.

What is the difference between squash merge and merge commit?

Squash merge combines all commits from the feature branch into a single commit on main, creating a clean linear history. Merge commit preserves all individual commits and adds a merge commit, showing the full development history. Squash merge is preferred for feature branches; merge commits are useful when you need to preserve granular history.

How-To2026-09-039 min read

How to Set Up Feature Branches in GitHub

Committing directly to main is a recipe for broken builds, untested code in production, and developers accidentally overwriting each other's work. A feature branch workflow isolates changes until they are reviewed and tested, then merges them cleanly into the main branch. This is not optional overhead — it is the foundation of professional software development.

GitHub provides the branch management, protection rules, and pull request tools needed to implement a robust feature branch workflow. This guide covers setting up the conventions, configuring branch protection, and establishing the review process that keeps your main branch deployable at all times.

Step-by-step guide

Define your branch naming convention

Establish a consistent naming pattern that the entire team follows. A common convention is type/description — for example, feat/user-onboarding-flow, fix/login-timeout-error, or chore/update-dependencies. Include the ticket number if your team uses Linear or Jira: feat/VAN-123-user-onboarding-flow. The name should tell a reviewer what the branch contains without clicking into it.

Define allowed prefixes: feat/, fix/, chore/, docs/, refactor/, test/
Use kebab-case for the description portion with no more than 5-6 words
Optionally include the ticket ID for traceability: feat/VAN-123-description

Configure branch protection rules on main

Navigate to your repository Settings, then Branches, and add a branch protection rule for main. Enable 'Require a pull request before merging' and set the minimum number of approving reviews to 1 (or 2 for critical repositories). Enable 'Require status checks to pass before merging' and select your CI workflow. These rules make it physically impossible to push untested code directly to main.

Enable 'Require a pull request before merging' with at least 1 required approval
Enable 'Require status checks to pass' and select your CI test and lint jobs
Enable 'Require branches to be up to date before merging' to prevent merge conflicts in main

Set up the pull request template

Create a .github/pull_request_template.md file in your repository with sections for Summary (what and why), Changes (bullet list of what changed), Testing (how the reviewer should verify), and Screenshots (if applicable). A consistent PR template ensures reviewers get the context they need without asking, and authors think through their changes before requesting review.

Add a Summary section with a prompt to explain what the PR does and why
Include a Changes section with a placeholder bullet list
Add a Testing section asking the author to describe how they tested the changes

Create and push a feature branch

When starting new work, always branch from the latest main: git checkout main, git pull, then git checkout -b feat/your-feature. Make small, focused commits as you work — each commit should represent a logical unit of change, not a day's worth of random edits. Push your branch to GitHub early and often so your work is backed up and visible to teammates.

Always pull the latest main before creating a new branch to avoid starting from stale code
Make atomic commits with descriptive messages that explain the 'why' not just the 'what'
Push to the remote after your first commit so the branch exists on GitHub immediately

Open a pull request and request review

When your feature is ready for review, open a pull request from your feature branch to main. Fill in the PR template completely, assign reviewers, and link the relevant ticket. Mark the PR as a draft if it is not yet ready for review but you want early feedback. Use GitHub's reviewers feature to assign specific people, and add the team as a reviewer for awareness.

Fill in every section of the PR template before requesting review
Link the Linear or Jira ticket using the ticket URL or keyword (Closes VAN-123)
Assign 1-2 specific reviewers who are familiar with the affected code area

Merge the PR and clean up the branch

After approval and passing CI checks, merge the PR using squash merge (for a clean main history) or merge commit (to preserve individual commits). Enable 'Automatically delete head branches' in your repository settings so merged branches are cleaned up automatically. After merging, switch back to main and pull the latest changes before starting your next feature branch.

Choose squash merge for feature branches to keep the main branch history clean
Enable automatic branch deletion in repository settings to avoid stale branch accumulation
Pull main after merging and start your next branch from the updated main

Common mistakes

Making feature branches too long-lived

A branch that diverges from main for three weeks accumulates massive merge conflicts and is extremely difficult to review. Keep feature branches to 1-3 days of work. If a feature takes longer, break it into smaller branches that merge incrementally behind a feature flag.

Not rebasing or updating before merging

Merging a branch that is two weeks behind main can introduce subtle conflicts that pass CI but break at runtime. Always update your branch with the latest main (rebase or merge main into your branch) before requesting final review.

Skipping code review for small changes

Even a one-line fix can introduce a bug, and the review process catches more than just code errors — it ensures knowledge sharing and consistency. Require reviews on all PRs regardless of size.

Using inconsistent branch naming

When branches have random names like 'johns-fix', 'new-thing', and 'WIP-stuff', it is impossible to understand what is in flight. Enforce the naming convention through team culture and optionally with a CI check that validates branch names.

Tips

Use GitHub's CODEOWNERS file to automatically assign reviewers based on which files the PR modifies — this ensures the right domain experts review each change

Enable 'Require conversation resolution before merging' so review comments cannot be ignored — every comment must be explicitly resolved

Use draft PRs to get early feedback on your approach before investing time in polishing the implementation

Set up a branch naming validator in your CI pipeline that fails PRs from branches that do not follow your naming convention

How Vantage helps

When Vantage pushes tickets to Linear, engineers can create feature branches linked directly to their assigned tickets. This traceability from product requirement through ticket to code branch ensures that every line of code ties back to a documented product decision.