CI failure memory
Stop spelunking. Get a reviewable fix PR.
ForgeBeyond reads the failed job, diff, repo shape, and prior failure memory. Then it explains the smallest safe fix and opens a companion PR instead of silently mutating your branch.
Honest economics
The first miss costs reasoning. Memory makes repeats cheaper.
These are demo assumptions, not inflated benchmark claims. The point is to show the operating model: spend more reasoning when the failure is new, spend far less context when memory already narrows the search.
Log scan, Dockerfile check, repo-tree lookup, local reasoning. Cost depends on team rate.
Consumes more tokens because there is no trusted family yet: logs, diff, workflow, and repo shape.
Target path: retrieve only similar incidents, applicability checks, and current evidence before proposing a fix.
Public proof
Real GitHub, harder failure, reviewable fix.
Design rule
Short answer first. Evidence on demand.
The product output should be readable in one glance: what failed, why it failed, what ForgeBeyond proposes, why it is safe to review, and where to inspect the evidence.
Reads CI logs, workflow YAML, changed files, PR metadata, and prior failure memory.
Separates the failing build step from checkout, Docker setup, install, cache, and upload noise.
Uses memory as evidence, not as a patch to replay blindly.
Opens a fix PR when the remedy is narrow, then lets CI and human review verify it.
Run it
The workflow is command-line real.
The site visual is simplified for humans. The proof links point to real GitHub PRs and Actions runs.
forge github-analyze --repo web3den/forgebeyond-pipeline-demo --run-id 26699810004 --post-commentforge github-propose-fix --source-pr 5 --path Dockerfile --post-commentforge corpus pack "docker build context missing package-lock"forge corpus advise "build-app-image failed inside BuildKit copy step"