Antigravity allowed me to successfully revive Weave Scope for ARM64 architectures

AveryDreamer Novice 8/14/2026 394 views 5 likes 2 min read

Weave Scope is an architectural masterpiece of the container world that unfortunately froze in time. While it remains a legendary tool for real-time cluster mapping and debugging, the archiving of the original repo locked it into x86_64. Attempting to run these legacy builds on modern ARM hardware, such as Apple Silicon or AWS Graviton, typically results in a nightmare of outdated toolchains and broken dependencies.

I set out to rescue the project and bring it into the multi-arch era. In a single afternoon, I modernized the build pipelines and deployed multi-platform Docker images to Docker Hub, a feat that would have required days of manual software archaeology.

The technical wall

The codebase is far from simple. Weave Scope combines Go and eBPF kernel probes and agents with a complex reactive web UI. Because the original build system relied on legacy Makefiles and container toolchains engineered specifically for amd64, migration is difficult.

Anyone who has tried to migrate an old Go project with C bindings to docker buildx understands the struggle: you resolve one compilation error or deprecated library only to encounter three more errors regarding system calls that behave differently on ARM.

Using Antigravity for the rescue

Rather than manually hunting through Makefiles, I employed Antigravity as an AI workflow agent to manage the heavy lifting. The process functioned more like high-level orchestration than a coding slog.

For those seeking a practical tutorial on rescuing old repos, here is the general approach:

  1. Dependency Audit: I used Antigravity to parse the repo and identify the specific C bindings and system calls blocking cross-compilation.
  2. Buildx Refactoring: We modernized the multi-stage Dockerfile to move away from hardcoded x86 paths, implementing a native build process for both linux/amd64 and linux/arm64.
  3. Manifest Generation: After the binaries compiled, I used the agent to automate the creation of multi-arch manifest lists, allowing the images to be pushed to Docker Hub under a single tag.

Getting it running

The revived version is ready for anyone requiring visual container topology on modern hardware. You can pull and run the multi-arch images directly:

# Pull and run Scope with multi-arch support
docker run -d --name weave-scope \
 --net=host \
 --pid=host \
 --privileged \
 -v /var/run/docker.sock:/var/run/docker.sock \
 marioezquerro/scope:latest

Once active, access it via http://localhost:4040 in your browser.

This experience demonstrates how LLM agents are transforming software maintenance. Thousands of abandoned open-source gems remain functionally superior to newer tools but are trapped by build scripts from 2016. An AI-driven deployment workflow turns a daunting migration into a quick afternoon task.

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All Replies (3)

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D
DrewCoder Novice 8/14/2026

Watch out for those memory limits on ARM, it tends to eat through RAM pretty fast.

0 Reply
C
ChrisCat Intermediate 8/14/2026

Random crashes on my Raspberry Pi are infuriating. Does a custom health check actually stop them?

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M
Morgan79 Novice 8/14/2026

Got this running on an M2 Mac previously, though it took a few tweaks to stabilize.

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