Files

Bill 1696b92bb8 Add Sprints 46-59: governance, porting foundation, and language graduation prep (Steps 689-828)

Sprints 46-58 implement the cross-language porting foundation: language-to-IR
adapters, equivalence checking, gate validation, legacy ingestion, managed/dynamic
families, low-level/logic-actor semantics, debug workflow tooling, AST-native
family tools, Rust/CPP raising tools, system-level orchestration, query family,
and porting gates. Sprint 59 adds the governance layer (policy packs, review
boards, waiver packets, ambiguity triage, decision ledger) with the
whetstone_review_porting_decision MCP tool.

Also includes: sprint plans 46-130, MCP taskitem pipeline scripts,
CLAUDE.md, docs, and full test matrix (steps 689-828).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-02-22 13:18:10 -07:00

1.6 KiB

Raw Blame History

Sprint Taskitem Execution Policy

This policy defines how agents must execute sprint plans using MCP taskitem tools and how run data must be captured for later LoRA curation.

Scope

Applies to sprint plan execution (for example: sprint46_plan.md through sprint100_plan.md)
Applies to all future agents working in this repository

Required MCP Pipeline

For each sprint plan, agents must run:

whetstone_architect_intake
whetstone_generate_taskitems
whetstone_queue_ready
whetstone_validate_taskitem

Use:

tools/mcp/run_sprint_taskitem_pipeline.sh <sprint_plan.md>

Required Data Capture

After each successful run, agents must export run artifacts to LoRA capture JSONL:

tools/mcp/export_taskitem_run_for_lora.sh <run_output_dir>

Use:

training_data/lora/taskitem_pipeline_runs.jsonl

Note: Raw logs are capture material, not training-ready data. Curation is required before any fine-tuning.

Batch Execution

For multiple sprints, agents should use:

tools/mcp/run_sprint_range_with_capture.sh <start_sprint> <end_sprint>

Example:

tools/mcp/run_sprint_range_with_capture.sh 46 100

Quality Requirements

Keep whetstone_mcp_stable as execution binary during active development
Do not use unstable binaries for bulk taskitem generation
Preserve all run artifacts under logs/taskitem_runs/
Preserve JSONL append-only history under training_data/lora/

Handoff Requirement

When finishing a batch, agents must report:

sprint range attempted
successful runs count
failed runs count
batch summary file path
LoRA JSONL append confirmation

1.6 KiB Raw Blame History