Egg is a side project of mine. It's a structurally enforced SDLC pipeline for autonomous LLM agents. You provide it with a task, it:refines the task definition and sends it back to you, you review the refinement, it generates a plan based on the refined task, you review the plan, it implements the plan, validates it using a contract validation mechanism, and opens a PR in github
It's comprised of what I'm calling "agentic feedback loops" https://github.com/jwbron/egg/blob/main/docs/agentic-feedbac... and "human feedback loops". There are three phases of "agentic feedback loops", which do work, review the work, and repeat until consensus is gained: refine, plan, implement (this also has an automatic merge conflict fixer, can run checks like test and lint, and has an autofixer. The contract is enforced in this stage)
Each phase has a human checkpoint in between. The human reviews the work, makes manual changes or iterates with claude, then approves. The final check is a human PR review. I'm finding that if I focus energy on refining the initial task, I always approve the review on the first pass. If the requirements are properly defined, they are enforced in the contract. This is managed by phase-based access controls. Coders can't alter the contract, contract validators can't modify the code. Agents must gain consensus. I call this the "SDLC pipeline" https://github.com/jwbron/egg/blob/main/docs/guides/sdlc-pip....
There's a lot going on here around sandboxing and enforcement mechanisms. This is covered more here: https://github.com/jwbron/egg/blob/main/gateway/README.md, but the documentation is slightly out of date. I'm actively working on an automated documentation intelligence system that ensures everything is up to date and should have that working in an hour or to.
I'd love to talk about this with folks. A lot of startups are announcing millions of dollars in funding to build out this kind of tool, but the reality is anyone can do it right now. I want to keep this open source and provide it to everyone for free, so we're all enabled to move as fast as we want with AI tooling. Hope I can build this out in a way that a lot of people find useful. This is early stages now, but I'm stoked to see how it continues to come together.
Important note: this thing eats tokens. I'm currently cycling through four different claude max 20x accounts, hitting weekly limits every couple of days.
Egg is a side project of mine. It's a structurally enforced SDLC pipeline for autonomous LLM agents. You provide it with a task, it:refines the task definition and sends it back to you, you review the refinement, it generates a plan based on the refined task, you review the plan, it implements the plan, validates it using a contract validation mechanism, and opens a PR in github
It's comprised of what I'm calling "agentic feedback loops" https://github.com/jwbron/egg/blob/main/docs/agentic-feedbac... and "human feedback loops". There are three phases of "agentic feedback loops", which do work, review the work, and repeat until consensus is gained: refine, plan, implement (this also has an automatic merge conflict fixer, can run checks like test and lint, and has an autofixer. The contract is enforced in this stage)
Each phase has a human checkpoint in between. The human reviews the work, makes manual changes or iterates with claude, then approves. The final check is a human PR review. I'm finding that if I focus energy on refining the initial task, I always approve the review on the first pass. If the requirements are properly defined, they are enforced in the contract. This is managed by phase-based access controls. Coders can't alter the contract, contract validators can't modify the code. Agents must gain consensus. I call this the "SDLC pipeline" https://github.com/jwbron/egg/blob/main/docs/guides/sdlc-pip....
There's a lot going on here around sandboxing and enforcement mechanisms. This is covered more here: https://github.com/jwbron/egg/blob/main/gateway/README.md, but the documentation is slightly out of date. I'm actively working on an automated documentation intelligence system that ensures everything is up to date and should have that working in an hour or to.
I'd love to talk about this with folks. A lot of startups are announcing millions of dollars in funding to build out this kind of tool, but the reality is anyone can do it right now. I want to keep this open source and provide it to everyone for free, so we're all enabled to move as fast as we want with AI tooling. Hope I can build this out in a way that a lot of people find useful. This is early stages now, but I'm stoked to see how it continues to come together.
Important note: this thing eats tokens. I'm currently cycling through four different claude max 20x accounts, hitting weekly limits every couple of days.