Charlie is an AI‑powered TypeScript engineer that works within a team’s GitHub, Linear, and Slack tools. It converts ticket specifications into production‑ready TypeScript code with tests and Storybook stories, creates pull requests that pass CI, and can automatically review and fix incoming PRs. The service streamlines implementation and code‑review tasks, allowing developers to focus on higher‑level design.
Funding
Funding not disclosed
Founders
Product
Problem
Software engineering teams often lose productivity due to manual implementation of feature requests, bug fixes, and pull‑request reviews across separate tools such as GitHub, Linear, and Slack. The need to switch contexts and allocate senior developers to routine coding tasks limits throughput and delays delivery of production‑grade TypeScript code.
Solution
Charlie provides an autonomous TypeScript engineer that operates directly within a team’s existing GitHub, Linear, and Slack environments. Users submit specifications or tickets, and Charlie generates, tests, and commits production‑ready TypeScript code, creating concise pull requests that pass continuous‑integration checks. The agent can also review incoming PRs, suggest inline fixes, and apply them on demand, reducing the manual review burden. By handling end‑to‑end implementation—including test and Storybook generation—Charlie frees engineers to focus on architectural decisions and strategic work while maintaining high code quality and consistent delivery cadence.
Target Audience
The primary customers are software development teams that build TypeScript applications—ranging from SaaS startups to enterprise product groups—who need to accelerate feature delivery and reduce manual code‑review effort.
Features
- Deep integration with GitHub, Linear, and Slack, enabling command‑line‑free interaction and automatic ticket‑to‑PR flow
- Autonomous code generation that produces TypeScript adhering to project linting and type‑checking standards, with full CI pass verification
- Built‑in unit‑test and Storybook story creation to preserve test coverage and visual regression checks without developer intervention
- Pull‑request review engine that detects bugs, offers actionable inline comments, and can apply suggested fixes automatically
- Context‑aware execution that can draft QA checklists, summarize daily work, or propose architectural patterns (e.g., hexagonal/ports‑based design) based on project history
- Support for Git operations such as rebasing, merging, and generating preview UI links directly from Slack commands
- Continuous learning loop that refines coding style and edge‑case handling from prior submissions, ensuring production‑mindset output