M4: a before-interceptor returning #{ allowed: true, data: ... } rewrites the
value actually written (threaded through the chain; each hook sees the prior
transform), size-capped at MAX_JSON_MATERIALIZE_BYTES. Delete never transforms.
M3: an 'after' phase interceptor runs once the write has committed, with the
write's result in its payload. After-hooks observe/deny but CANNOT roll back —
a deny surfaces as an operation error while the write persists (documented at
the call site).
Adds phase authoring end to end: a [[interceptors]] entry gains phase =
before|after (default before), threaded through the plan wire, BundleInterceptor,
validate (phase in {before,after}), the reconcile diff/insert/prune key
(service/op/phase), and the repo (insert/delete/list_for_owner/list_on_app_chain,
+ the marker's phase). run_before now returns the transformed value; run_after is
new; both share one fail-closed per-entry runner. Pinned by two journeys: a
before-hook transforms the stored value, and an after-delete hook sees
result==true, denies, yet the key stays deleted.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
PiCloud
A lightweight, self-hosted, event-driven serverless compute platform. Upload a Rhai script, get an HTTP endpoint. Designed to run on a single modest server with no idle CPU cost, and to scale out to a small cluster when you need it.
Status: Phase 1 — MVP scaffolding in progress.
The authoritative design lives in
serverless_cloud_blueprint.md.
Why
Existing serverless platforms are either cloud-locked, heavyweight, or both. PiCloud aims for the opposite end of the spectrum: one binary, one database, one reverse proxy — running on hardware you already own.
Architecture (one paragraph)
PiCloud splits into three logical services — manager (control plane: scripts, schedules, dashboard), orchestrator (per-node event ingress and dispatch), and executor (per-node Rhai sandbox) — each backed by a *-core Rust library. In MVP they run in a single process; in cluster mode they run as three binaries with one manager and one orchestrator + executor per node. Caddy fronts everything; PostgreSQL is the single source of truth.
See CLAUDE.md for working notes and serverless_cloud_blueprint.md for the full design.
Quick Start
Coming as scaffolding lands. For now:
# Rust toolchain (pinned via rust-toolchain.toml)
cargo check --workspace
# Run the all-in-one MVP binary (once main.rs is wired up)
cargo run -p picloud
Repository Layout
crates/
shared/ cross-cutting types
executor-core/ Rhai engine + sandbox
orchestrator-core/ event ingress, dispatch
manager-core/ control plane
picloud/ MVP all-in-one binary
picloud-{manager,orchestrator,executor}/ cluster-mode binaries (skeleton)
dashboard/ SvelteKit
caddy/ Caddyfile
docker/ Dockerfiles
docs/
git-workflow.md Trunk-based workflow
Contributing
See docs/git-workflow.md for the branching and commit conventions. TL;DR: trunk-based, short-lived branches, Conventional Commits, no force-pushing main.
License
TBD.