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Commit Together by Github VS PromptBrake

Compare Commit Together by Github VS PromptBrake and see what are their differences

Commit Together by Github

Now add co-authors to your commits

Rating
0 reviews
Alternatives Is it good?
PromptBrake

Automated AI security testing for agents, chatbots, and APIs. Find prompt injection, data leaks, and unsafe behavior before launch.

Rating
0 reviews
Pricing
Paid Free trial $499 / Monthly (Enterprise: 30 scans, 1 active runner license)
Alternatives Is it good?
JustDocz
Private document search for Windows. Find files by what’s inside them — locally, without uploading your documents. sponsored

Which is more popular?

Based on our record, Commit Together by Github seems to be more popular. It has been mentioned 1 time since March 2021.

social mentions
1 vs 0
Developer Tools popularity
100% vs 0%
alternatives listed
68 vs 32

Base details

Website, pricing, platforms and company facts side by side.

Commit Together by Github
PromptBrake
Website github.blog promptbrake.com
Pricing —
Paid Free trial $499 / Monthly (Enterprise: 30 scans, 1 active runner license) Official pricing
Company — Startup from the United States · 2026
Listed in
Developer Tools Productivity Coding Crypto +1
Cyber Security AI APIs Testing Developer Tools AI Tools Vulnerability Scanner Vulnerability Report Generator +5

About Commit Together by Github and PromptBrake

In their own words, as submitted to SaaSHub.

Commit Together by Github
PromptBrake

No description of Commit Together by Github yet.

An AI product can work in a demo and still expose sensitive data or follow malicious instructions. PromptBrake helps teams find these failures before customers do. Test AI agents, chatbots, and LLM-backed APIs with 138 automated checks across 18 attack categories. Run the self-hosted runner...

Read more about PromptBrake

Features and specs

What each product offers, as listed by its team.

Commit Together by Github 4 features
PromptBrake 7 features
  • Enhanced Collaboration
    Commit Together allows multiple authors to be credited in a single commit, which fosters a more collaborative environment and ensures everyone involved receives recognition for their contributions.
  • Improved Code Review Process
    With multiple authors clearly listed, reviewers can better understand who contributed to which parts of the code, facilitating more directed questions and discussions.
  • Accountability
    By attributing every change to the respective author, teams can easily track who made specific changes, which helps in accountability and understanding the history of a project.
  • Efficiency in Pair Programming
    When pair programming, both developers can be credited for their combined effort, streamlining the process of sharing code ownership during collaborative sessions.

Possible disadvantages

  • Complex Commit History
    Having multiple authors for a single commit may lead to a more complex commit history, making it harder to pinpoint individual contributions over time.
  • Potential Workflow Conflicts
    Teams that are used to single-author commits may experience workflow conflicts or require adjustments in practices to accommodate multi-author contributions.
  • Initial Setup Overhead
    Learners and new users might face a learning curve or require additional setup to understand and correctly implement the multi-author commit feature.
  • Tooling Compatibility
    Some third-party tools and extensions might not fully support or display multi-author commits, leading to inconsistencies in those environments.
  • AI Security Testing
    138 automated checks across 18 attack categories for prompt injection, data leaks, unsafe tool behavior, and other AI risks.
  • Supported Targets
    Test AI API endpoints and web chatbots, including applications powered by agents and LLMs.
  • CI Release Gates
    Apply configured security criteria in CI to flag or block releases based on test results.
  • Self-Hosted Execution
    Run tests inside your infrastructure. Prompts, credentials, responses, and test evidence stay in your environment.
  • Baseline Comparison
    Compare results against a baseline to identify regressions, fixes, and unresolved findings.
  • Free Security Resources
    Five public tools for release planning, security checklists, prompt injection examples, and OWASP test mapping.
  • Evidence and Reports
    Review findings with evidence and remediation guidance, and export JSON or PDF reports.

Analysis

An editorial look at what each product does well and who it suits.

Commit Together by Github
PromptBrake

No analysis of Commit Together by Github yet.

Overall verdict

  • I don't have verified information about PromptBrake (promptbrake.com), so I can't confirm whether it's a good product. Please verify its features, reviews, and reputation directly before making a decision.

Why this product is good

  • I have no reliable data on PromptBrake's actual features or performance, so any specific claims would be unverified
  • The name suggests it may be a prompt management or AI safety/moderation tool, but this is only speculation and should be confirmed
  • Independent user reviews and third-party evaluations, if available, would offer more trustworthy insight than assumptions
  • Checking the official website, documentation, pricing, and security/privacy policies is the best way to judge its quality

Recommended for

  • Users who first independently verify the tool's features and legitimacy
  • Teams evaluating AI prompt management or moderation tools who can run a trial or demo
  • Anyone who reads current user reviews and compares alternatives before committing

Videos

Walkthroughs and reviews on video.

Commit Together by Github 0 videos + Add
PromptBrake 1 video + Add

No Commit Together by Github videos yet. You could help us improve this page by suggesting one.

Validates your real AI release candidate before production

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Commit Together by Github
PromptBrake
100% 100%
Developer Tools
0% 0%
0% 0%
Cyber Security
100% 100%
100% 100%
Productivity
0% 0%
0% 0%
Vulnerability Scanner
100% 100%

Questions & Answers

As answered by people managing Commit Together by Github and PromptBrake.

Which are the primary technologies used for building your product?

PromptBrake's answer:

PromptBrake uses Python and Flask, with SQLAlchemy for database access and Flask-Migrate/Alembic for migrations. SQLite is the default database.

The interface uses server-rendered Jinja2 templates, JavaScript, and CSS. Gunicorn serves the application, and Docker packages the deployment. Playwright supports browser-based chatbot testing.

The hosted portal integrates Firebase Authentication for identity and Stripe for subscription billing. The self-hosted runner executes security tests inside customer-controlled infrastructure.

How would you describe the primary audience of your product?

PromptBrake's answer:

Teams building and releasing AI products: agents, copilots, chatbots, RAG applications, and LLM-backed APIs.

Users include founders, AI product builders, engineering teams, security teams, and agencies delivering AI applications for clients. They need to test for prompt injection, data exposure, and unsafe behavior before launch and repeat those checks as their products change.

PromptBrake is especially relevant when teams want testing and evidence to remain inside their own infrastructure.

What's the story behind your product?

PromptBrake's answer:

PromptBrake addresses a practical gap: an AI product can perform well in a demo yet still expose sensitive information or follow malicious instructions.

The goal is to make security testing a repeatable part of AI product releases. Teams can test their application, inspect evidence, fix failures, and rerun checks after changes.

That focus connects PromptBrake’s free planning resources with its self-hosted runner, findings, baseline comparisons, and CI release gates: helping teams make better-informed decisions before an AI release reaches customers.

What makes your product unique?

PromptBrake's answer:

PromptBrake brings automated AI security testing, evidence-backed findings, remediation guidance, baseline comparison, and CI release gates into one workflow.

Run 138 checks across 18 attack categories against your AI application using a self-hosted runner inside your infrastructure. Review failures, fix them, and retest before release.

The focus is practical: help teams turn security findings into release decisions while keeping prompts, credentials, responses, and test evidence in their own environment.

Why should a person choose your product over its competitors?

PromptBrake's answer:

Choose PromptBrake for repeatable AI security testing with a maintained test suite, actionable findings, and a self-hosted deployment model.

It helps teams test before launch and after changes to prompts, models, or workflows. Evidence and remediation guidance support fixes, baseline comparison highlights regressions, and CI gates help enforce release criteria.

Evaluate it against your own application during the free trial: three scans over seven days. The paid plan is $499/month for 30 scans and one active runner license.

User comments

Share your experience with using Commit Together by Github and PromptBrake. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Commit Together by Github 1 mention
PromptBrake 0 mentions
  • Ask HN: Do you rewrite pull requests?
    There is "Co-authored-by" which is supported on GitHub [1] and seems appropriate if the maintainer is basing the solution on someone's code. [1] https://github.blog/2018-01-29-commit-together-with-co-authors/. - Source: Hacker News / over 4 years ago

Tracking PromptBrake since Mar 2026.

Alternatives to Commit Together by Github and PromptBrake

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