- CURSOR_MARKER: \x1b_pi:c\x07 → \x1b_sf:c\x07 - process.title: "pi" → "sf" - PiManifest → SFManifest (with pi field backwards compat) - readPiManifest → readSFManifest (loader.ts and package-manager.ts) - readPiManifestFile → readSFManifestFile (package-manager.ts) - .pi/skills → .sf/skills (keeps .pi/skills for backwards compat) - User-facing path strings updated to .sf/ where appropriate - ARCHITECTURE.md: "Pi coding-agent extension" → "coding-agent extension" - Temp editor file: pi-editor-*.pi.md → sf-editor-*.sf.md - Test fixtures: appName "pi" → "sf", pi manifest field → sf Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
9.6 KiB
Architecture
Purpose
Singularity Forge (SF) is the product. It runs long-horizon coding work through the Unified Operation Kernel (UOK): milestones → slices → tasks. Each dispatch unit runs a fresh AI context, writes its output to disk, then terminates. UOK owns lifecycle, recovery, and the DB-backed run ledger; runtime files under .sf/runtime/ are projections for query, UI, and compatibility. A deterministic controller (not an LLM) reads canonical state and decides what to dispatch next. Core changes follow purpose-driven TDD: purpose and consumer first, then failing tests, then implementation. The user is the end-gate — autonomous mode delivers work to human review, it does not merge to production unattended.
Codemap
| Path | Purpose |
|---|---|
src/loader.ts |
Entry point — initializes resources, registers extension |
src/headless.ts |
Non-interactive (headless) mode driver — exit codes 0/1/10/11/12 |
src/headless-events.ts |
Transcript event parsing and notification routing |
src/extension-registry.ts |
Registers SF as a coding-agent extension |
src/resources/extensions/sf/ |
All SF extension source (TypeScript) |
src/resources/extensions/sf/auto/ |
Autonomous workflow orchestrator (UOK lifecycle, dispatch, planning) |
src/resources/extensions/sf/bootstrap/ |
Context injection, system prompt assembly |
src/resources/extensions/sf/prompts/ |
Prompt templates (.md, loaded by prompt-loader.ts) |
src/resources/extensions/sf/tests/ |
Unit and integration tests |
dist/resources/extensions/sf/ |
Compiled JS (rebuilt by npm run copy-resources) |
~/.sf/agent/extensions/sf/ |
Installed copy (synced from dist on startup) |
docs/ |
Durable product, design, plan, reliability, and security context |
harness/ |
Specs (behavior contracts), evals (model-output tests), graders |
State layout (.sf/)
.sf/ can be a symlink (external state, ~/.sf/projects/<hash>/) or a local directory (tracking-enabled per ADR-001).
Tracked in git (travel with the branch, per ADR-001):
.sf/milestones/ — roadmaps, plans, summaries, task plans
.sf/PROJECT.md — project overview
.sf/DECISIONS.md — architectural decisions register
.sf/REQUIREMENTS.md — requirements register
.sf/QUEUE.md — work queue / backlog
.sf/KNOWLEDGE.md — project-specific rules for agents
Gitignored (runtime/ephemeral — managed by ensureGitInfoExclude() in .git/info/exclude):
.sf/activity/ — JSONL session dumps
.sf/audit/ — audit trail entries
.sf/exec/ — in-flight execution state
.sf/forensics/ — crash forensics
.sf/journal/ — SF journal entries
.sf/model-benchmarks/ — model benchmark results
.sf/parallel/ — parallel dispatch coordination
.sf/reports/ — generated reports
.sf/runtime/ — dispatch records, timeout tracking
.sf/worktrees/ — git worktree working directories
.sf/auto.lock — crash detection sentinel
.sf/metrics.json — token/cost accumulator
.sf/sf.db* — SQLite canonical structured state, priority order, validation/gate state, and UOK ledgers
.sf/STATE.md — derived state cache
.sf/notifications.jsonl, .sf/routing-history.json, .sf/self-feedback.jsonl, .sf/repo-meta.json
The symlink case uses a blanket .sf gitignore pattern (git cannot traverse symlinks). The directory case uses granular patterns so planning artifacts remain trackable.
Key flows
Autonomous dispatch loop (src/resources/extensions/sf/auto/):
- UOK reconciles the DB-backed ledger, projections, and runtime diagnostics into a typed state snapshot
- Controller selects the next dispatch unit (research, plan, implement, verify, etc.) from canonical state
- A fresh agent context is started with the task plan injected via
system-context.ts - Agent writes artifacts to disk, commits, exits
- UOK records completion/recovery, updates projections, and repeats until milestone completes or a gate fails
System context assembly (bootstrap/system-context.ts):
PREFERENCES.md → KNOWLEDGE.md → ARCHITECTURE.md → CODEBASE.md → code intelligence → memories → worktree/VCS blocks
Write gate (bootstrap/write-gate.ts):
All file writes in autonomous mode pass through a gate. Protected files (CLAUDE.md, CODEBASE.md, certain spec files) require explicit override.
UOK Dispatch State Machine (Five-Phase Loop)
UOK orchestrates work through a deterministic five-phase state machine:
PhaseDiscuss → PhasePlan → PhaseExecute → PhaseMerge → PhaseComplete
↓ ↓ ↓ ↓ ↓
(discuss) (plan) (execute) (merge) (finalize)
↓ ↓ ↓ ↓ ↓
gates gates gates gates validation
↓ ↓ ↓ ↓ ↓
(continue or remediate)
Phase details:
| Phase | Purpose | Exit Conditions | Failure Path |
|---|---|---|---|
| PhaseDiscuss | Gather project context, requirements, scope | Gates pass (discussion-close gate) | Loop back for more context or escalate |
| PhasePlan | Create milestone/slice plans with success criteria | Gates pass (planning-approval gate) | Add remediation slices or replan |
| PhaseExecute | Implement tasks through the dispatch sequence | Gates pass (code-quality, test gates) | Isolate failed task, add recovery slices |
| PhaseMerge | Integrate slices, run end-to-end tests, merge branches | Gates pass (integration gate) | Add integration-fix slices, retry |
| PhaseComplete | Final validation, audit trail, summary, gate completion | Validation passes (acceptance gate) | Add remediation milestone or escalate |
Error recovery:
- If a gate fails, UOK records the verdict and routes through phase-specific handlers
- Failed gates can trigger automatic remediation slices (new plan → execute loop)
- Stuck-loop detection: if the same unit repeats without progress after N attempts, invoke recovery protocol (timeout, manual review, or skip)
- Crash recovery:
.sf/auto.locksentinel +sf.dbWAL enables recovery from agent crash mid-phase
Gate Verdict Semantics
Every gate runs in parallel and returns one of three verdicts:
| Verdict | Meaning | Next Action |
|---|---|---|
| passed | Gate question answerable; no concern blocking this phase | Proceed to next phase |
| failed | Gate question answerable; concern blocks phase progression | Record failure, optionally add remediation slice(s) |
| omitted | Gate question not applicable to this unit (e.g., no auth work → auth gate omitted) | Proceed (gate doesn't apply) |
Critical rule: omitted must have a one-line reason (e.g., "no auth surface"). Unexplained omitted verdicts are treated as failures and re-dispatched with explicit instruction to pick passed or failed.
Outcome Learning for Model Selection
UOK tracks model success/failure per task-type using Bayesian updating:
P(model_i succeeds | task_type) = (successes + prior) / (total_trials + prior_weight)
Mechanism:
- After each task completes, UOK logs:
{ model, task_type, succeeded: bool, latency_ms, tokens } - Model scores updated dynamically; different models get different confidence per phase/task
- Prior weights prevent early abandonment (new models get benefit of the doubt)
- Used by
benchmark-selector.tsto route future similar tasks to higher-scoring models
Current limitation: Learning updates episodically (per-task), not continuously; recovery paths don't feed learning back.
Self-Evolution Mechanisms
Self-Report Collection
Agents and gates file sf_self_report with anomalies during dispatch:
- Example: "validation-reviewer prompt lacks explicit rubric for criterion vs. implementation gap"
- Reports captured in
upstream-feedback.jsonland.sf/SELF-FEEDBACK.md(when dogfooding) - Status: Collection works; triage pipeline incomplete (reports not automatically processed into fixes)
Knowledge Compounding
KNOWLEDGE.md stores judgment-log entries from completed slices:
- Format:
[when] [what] [why] [confidence](e.g., "Python 3.12 incompatible with X library — avoid for now") - Persists across milestones; can be injected into future dispatch prompts
- Status: Storage works; injection not automatic (requires manual configuration)
Gate-Based Pattern Detection
Gates can detect and report repeated failure patterns (e.g., "same requirement-validation failure in S01 and S03")
- Status: Logic exists per gate; no automatic aggregation across gates
Invariants
- UOK and the dispatch controller are pure TypeScript — no LLM decisions in the dispatch loop itself.
- Each dispatch unit runs in a fresh context — no cross-turn state accumulation.
- Planning artifacts are tracked in git; runtime artifacts are never committed.
- DB-backed state is the only executable truth for migrated milestones: planning hierarchy,
sequencepriority/order, validation assessments, gate runs, quality gates, UOK runtime policy, and outcome ledgers all come from SQLite. Markdown/JSON projections are human views, exports, diagnostics, or explicit recovery/import inputs; normal runtime does not fall back to them when.sf/sf.dbexists and opens. SF_RUNTIME_PATTERNSingitignore.tsis the canonical source of truth for runtime paths.git-service.ts(RUNTIME_EXCLUSION_PATHS) andworktree-manager.ts(SKIP_*arrays) must stay synchronized with it.- The user is the end-gate. SF delivers for review, not to production.