Adversarial review of the v1.2 Workflows track surfaced two HIGH footguns and several correctness/hardening gaps. Fixes: HIGH - pull round-trip: `pic pull` dropped `[[workflows]]`, so a later `apply --prune` silently deleted them. The list endpoint now returns the full `definition`; pull rebuilds the manifest block (inverse of workflow_to_wire). - case-colliding names: two workflows differing only by case collided in the reconcile diff (keyed by lower(name)), silently dropping one. Rejected up front in validate_bundle_for. MEDIUM - reclaim retry budget: a crashed attempt (no outcome) consumed the retry budget. reclaim_stale_steps now decrements `attempt` (floored) and clears `next_attempt_at`, so a crash no longer counts as a failed try. - on_error/backoff: typed the manifest fields against the shared enums so a bad value fails at TOML parse with a clear message, not an opaque 500. - dedupe depends_on: a repeated dependency inflated the Kahn in-degree past the single decrement, reporting a spurious cycle for a valid DAG. Count distinct. - canceled child: a canceled sub-workflow resolved the parent step with a message naming the cause instead of a generic "failed"; documented that a run-level cancel op is not yet supported. LOW - list_run_steps is now app-scoped at the query (JOIN workflow_runs) rather than relying on caller pre-verification. - partial failure is surfaced: a run that succeeds with on_error=continue failures records them in the run's `error` field. - admin-started runs log the root_execution_id against the principal. - documented the deliberate when(missing→false) vs template(missing→fail) asymmetry; corrected the claim's atomicity comment. Tests: unit (dedupe-deps), DB-gated reclaim-budget assertion, and two new CLI journeys (duplicate-name rejection, pull→plan clean round-trip). fmt + clippy -D warnings clean; 450 lib + 14 orchestrator DB + 5 workflow journeys pass; schema snapshot unchanged (no migration). Co-Authored-By: Claude Opus 4.8 <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.