Overview
Tembo is a proactive AI software engineer that accelerates your team’s productivity to the max.
Tembo is built on:
- A powerful language model tuned for software maintenance and code generation
- Real-time signal ingestion from tools like Sentry and Linear (see integrations)
- A PR generation and PR review processing engine
It’s your tireless AI engineer who works around the clock to keep your codebase healthy and your team productive.
How the Agent Works
Tembo turns noisy alerts and performance signals into real code fixes:
-
Ingests Signals
Pulls from logs, error trackers, and database metrics (e.g. Sentry, Datadog) -
Triages Autonomously
Detects root causes, prioritizes issues, and builds a fix plan without waiting for a ticket -
Writes Pull Requests
Generates clean, merge-ready PRs that align with your repo’s best practices -
Seeks Approval
You stay in control — approve, reject, or modify the fix before it merges
What Tembo Does
Tembo executes engineering work across four key areas:
Execute Engineering Tickets
- Assign tickets from Linear, Jira, etc. to Tembo (or watch for specific tags)
- Takes a first crack at writing code to solve the ticket
- Creates production-ready PRs for your review
Fix Bugs in Production
- Watches your error tracking tools (like Sentry and Datadog) continuously
- Identifies errors that can be fixed with simple code commits
- Automatically creates fixes and submits PRs
Improve Database Performance
- Monitors your database query performance
- Suggests changes to code or indexing to speed up your applications
- Implements optimizations automatically
General Codebase Improvements
- Weekly analysis of each repo to identify technical debt and security vulnerabilities
- Finds opportunities for refactoring and performance improvements
- Submits PRs for low-hanging fruit improvements
Specific Issue Types Tembo Handles
Database Performance Issues
- Slow Queries - Identifies queries with high execution times (>100ms by default) and optimizes them
- Missing Indexes - Detects tables that would benefit from indexing and creates appropriate indexes
- Unused Indexes - Finds indexes that aren’t being used and removes them to improve write performance
Application Errors
- Sentry Errors - Automatically pulls application errors from Sentry and fixes the underlying code issues
- Stack Traces - Analyzes error patterns and implements proper error handling
Code Quality Issues
- TODO Comments - Finds TODO items in your codebase and implements the requested functionality
- Code Bugs - Uses AI to scan code files and detect potential bugs or performance issues
- Linear Tickets - Syncs with Linear project management to implement features and fixes
Integration Support
Tembo connects to your existing tools:
- PostgreSQL databases (including AWS RDS and Supabase)
- GitHub repositories for pull request creation
- Sentry for error monitoring
- Linear for project management
Tembo focuses on production issues that impact performance and reliability, automatically creating pull requests with the fixes your team needs.
Tembo Adapts to Your Workflow
Tembo learns and adapts as it works:
- Context-aware learning from your codebase, stack, and issue history
- Cross-team intelligence from similar fixes applied across the platform
- Human-in-the-loop feedback to improve future PR quality
- Regular updates from the latest database, observability, and performance research
What Your Engineers Do
Your team stays in control while Tembo handles the heavy lifting:
- Review PRs - Approve, improve, and merge PRs from anywhere (no text editor needed)
- Focus on features - Spend time building new functionality instead of maintenance
- Set priorities - Guide Tembo’s work through ticket assignments and workflow configuration
Interacting With Tembo
Use Tembo on your terms:
- Slack: Get alerts and fixes where your team already lives
- GitHub: Review PRs as if they came from a wildly intelligent teammate
- Web Dashboard: See what’s been fixed, what’s coming next, and approve changes
Solution Review and Approval
While Tembo can work autonomously, you maintain control through your workflow toggle:
- The agent detects an issue and generates a solution
- You receive a notification with details and recommendations
- You can approve, reject, or modify the proposed solution
- Upon approval, the agent implements the changes