For Lambda Curry, a modern software company building fast-moving products, traditional development workflows were hitting a wall. Boilerplate code, repetitive tasks, and context switching between Slack, GitHub, and project management tools slowed down the pace of delivery.
The team needed a way to reduce overhead, automate routine changes, and free engineers to focus on solving real problems — all without bolting on another tool that disrupted their workflow.
Lambda Curry co-founder, Jake Ruesink creates new issues in Linear, then drive progress with updates, questions, and threaded discussions.
Why Codegen
From the start, Codegen provided more than code generation. Acting as a 24/7 engineer and project manager inside Slack, GitHub, and Linear, it supported every step of the process:
- Developing new components and API endpoints
- Applying small changes instantly without disrupting active work
- Explaining complex functions for easier debugging and refactoring
- Looking up dependencies and internal references in seconds
- Managing tasks with structured tracking inside Linear
Context-Rich Development
Lambda Curry used Codegen, and embedded AI-powered engineering directly into their existing stack. The team used Codegen in three distinct ways:
- In Slack: Developers ask questions, debug tricky functions, and request code changes directly in chat.
- In GitHub: Codegen automatically reviews code, generates suggestions, and opens pull requests.
- In Linear: Tasks stay aligned with engineering work, and Codegen helps to create structured issues and track progress.
This meant Lambda Curry could trigger PRs, assign tasks, and resolve questions instantly — without jumping between systems.
Jake Ruesink links GitHub PRs & commits to Linear issues, post updates, and spin up follow-up tasks fast.
Real-World Impact
With Codegen, Lambda Curry transformed how its developers work day-to-day:
- Thanks to Linear + Codegen, routine tasks are handled automatically, while higher-impact work gets engineers’ full attention.
- Codegen generates the first draft of new components or endpoints, letting engineers focus on refining functionality instead of starting from scratch.
- Configuration updates and style tweaks happen instantly, without derailing deep work.
- Complex functions get explained on demand, simplifying debugging and refactoring.
Jake Ruesink, Lambda Curry co-founder, said:
“It helps us go from task planning to implementation with astonishing speed. Sometimes what we thought would take hours now takes minutes. It’s become hard to estimate timelines — in the best way.”
Moving Forward
Lambda Curry proves what’s possible when you bring Codegen into your workflow: AI that reshapes how teams review, build, and ship.
Want results like this? Try Codegen for free or reach out to our team for a demo.