Ask HN: What are you working on? (May 2026)

It's a durable orchestration system for AI code generation which solves the problem of not being able to trust LLMs to complete long running (and high quality) implementations without having to babysit them and monitor the process, which is what I think is the most exhausting part of coding with AI.

You start with a spec or programmatic task list and the engine runs the whole workflow: implementation, verification, review, fixes, and finalization.

It treats agentic coding like a durable CI-style process, with state, retries, reviewer feedback, commits, and auditability built in. It's externally orchestrated, meaning it's not the agent running the loop, it's simply agents being used as tools and spawned in the loop as needed without awareness of the loop itself.

It's going to be open sourced soon and it's not meant to replace your IDE or Agentic Harness of choice. You keep using codex/claude code/open code/cursor/pi whatever you want and simply delegate the actual implementation to the engine, through MCP/CLI and other integration points.

It supports any LLM provider so you can have GPT 5.5 implementing and a mix of Opus 4.7 / Deepseek v4 Pro / GPT 5.5 reviewing at every phase for example.

Sign up on the website or follow us on https://x.com/enginedotbuild or me personally on https://x.com/aljosa , desperately need more followers :D

It's designed to integrate with Maven projects, to bring in the benefits of tools like Gradle and Bazel, where local and remote builds and tests share the same cache, and builds and tests are distributed over many machines. Cache hits greatly speed up large project builds, while also making it more reliable, since you're not potentially getting flaky test failures in your otherwise identical builds.

https://jrecc.net