How Nested Analysis Loops Catch Bugs Before They Commit
The commit is not where you should catch bugs. The analysis loop is. Here's how separating phase loops from program loops changes what your AI coding agent catches before it touches the repo.
Codeberg-first
Ralph Workflow is free and open source. Inspect the primary repo on Codeberg before you install — or jump to the GitHub mirror.
The commit is not where you should catch bugs. The analysis loop is.
Here's the pattern that changes everything: each phase has its own feedback loop, separate from the program loop.
Two Loops, Not One
Most AI coding workflows are one big loop: - Write code → Run it → Looks good → Commit
Ralph Workflow separates concerns:
PHASE LOOP (inside each phase)
build → analyze → revise → analyze → ... → commit
PROGRAM LOOP (between phases)
plan → [phase loop] → develop → [phase loop] → commit → plan (fresh)
The phase loop catches implementation mistakes. The program loop catches direction errors.
What Analysis Actually Does
Analysis isn't "review the code." It's running the code against the spec, automatically.
The analysis agent checks: 1. Does the diff match the spec item? 2. Does it break existing tests? 3. Are there obvious bugs? 4. Is the code readable?
If any check fails, the loop goes back with specific feedback — not a generic "something went wrong."
Why This Matters for Unattended Runs
Without this, unattended runs are just unattended bug creation. With it, the loop acts as an automated senior developer review on every commit.
This is the difference between "it ran" and "it's correct."
The Real Win: You Don't Debug After the Fact
A single-loop workflow means you review the commit and find the bug yourself, then start another run. A nested-loop workflow means the analysis phase catches it before you ever see the commit.
Every bug caught in the analysis loop is a bug you don't have to find, file, and fix yourself. Over an overnight run with 20+ commits, that might be the difference between waking up to a working feature and waking up to a broken branch.
Try it on Codeberg: RalphWorkflow/Ralph-Workflow — star, fork, and open issues there. The GitHub mirror is at Ralph-Workflow/Ralph-Workflow.
Where Ralph Workflow Fits
Ralph Workflow is the operating system for autonomous coding: a free and open-source composable loop framework and AI orchestrator. It keeps the core loop simple, ships with a strong default workflow for writing software, and lets you use that default as-is or build your own workflow on top.
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Best evaluator path
Turn the idea into a real overnight test, not another saved tab.
Codeberg-first: open the primary repo, choose one bounded backlog task, run it tonight, and ask one question tomorrow morning — would I merge this? GitHub stays available as the mirror.
Open the primary Codeberg repo
Read the public source before you install anything.
Pick a first task
Use the guide to choose a bounded backlog item that is honest to review.
Install and run Ralph Workflow
Keep the machine awake, then decide in the morning whether the diff is good enough to merge.