AI prompts built for how engineers actually work
Your engineering team writes dozens of AI prompts every day — code reviews, debugging sessions, architecture discussions, documentation drafts. TeamPrompt gives those prompts a home: organized, version-controlled, and accessible directly inside ChatGPT, Claude, Copilot, and every AI tool your developers already use. Stop losing brilliant prompt patterns in Slack threads and personal bookmarks.
Engineering
Purpose-built for engineering workflows
Every feature designed to help your team work smarter with AI.
Code review prompt templates
Standardize code reviews with templates that include {{language}}, {{context}}, and {{focus_area}} variables. Every reviewer uses the same thorough approach.
One-click debugging prompts
Insert structured debugging prompts directly into your AI tool. Include error context, stack traces, and environment details through template variables.
Version-controlled prompt library
Track changes to every prompt with full version history and diff view. See who changed what, when, and why — just like your code.
Team-wide sharing
Share proven prompt patterns across your entire engineering org. Frontend, backend, DevOps, and QA each get curated categories with the right prompts.
DLP guardrails for code
Automatically scan outbound prompts for API keys, tokens, connection strings, and proprietary code patterns before they reach any AI model.
Works in every AI tool
Access your engineering prompt library from ChatGPT, Claude, Gemini, Copilot, and Perplexity through the browser extension. No tab switching.
Benefits
Why engineering teams choose TeamPrompt
31
Total available detection rules
5
AI tools supported
2-click
From sidebar to AI tool
FAQ
Frequently asked questions
Can I create prompts specifically for code review?
Yes. Create templates with variables like {{language}}, {{file_path}}, {{review_focus}}, and {{context}}. Reviewers fill in the specifics and insert a structured review prompt in one click.
Does it catch API keys and secrets in prompts?
Yes. The DLP scanner detects API keys, tokens, connection strings, AWS credentials, and other secret patterns in real-time — before the prompt reaches any AI tool.
Can different engineering sub-teams have their own prompt categories?
Absolutely. Create separate categories for frontend, backend, DevOps, QA, or any grouping. Each has its own permissions and prompts, while still sharing a central library.
Does it work with GitHub Copilot?
TeamPrompt works alongside Copilot through the browser extension. Use it in ChatGPT, Claude, Gemini, and Perplexity where your team runs longer AI conversations for code review, architecture, and debugging.
Related Solutions
Explore more solutions
TeamPrompt
Accelerate product management with shared AI prompts for PRD writing, user story generation, competitive analysis, and feature prioritization. TeamPrompt helps PMs leverage AI consistently and efficiently.
Learn moreTeamPrompt
Elevate your marketing with shared AI prompts for content creation, campaign briefs, SEO optimization, and social media. TeamPrompt keeps your marketing team's best prompts organized, consistent, and always accessible.
Learn moreTeamPrompt
Empower your customer success team with AI prompts for customer communication, onboarding playbooks, renewal strategies, and health score analysis. TeamPrompt keeps your CS team aligned and efficient.
Learn moreTeamPrompt
Close more deals with shared AI prompts for prospecting, email outreach, proposal writing, and objection handling. TeamPrompt gives your sales team a competitive edge with organized, proven prompt templates.
Learn more