sutro-context

name	sutro-context
description	Use before any research task, experiment, or PR review. Loads current project state from DISCOVERIES.md, open questions, and recent Telegram discussion.

Sutro Research Context

Load this before doing any research work, running experiments, or reviewing PRs.

Step 1: Read core files

Read these in order. Stop and report if anything is unexpected.

1. CLAUDE.md -- project context, current best methods, constraints
2. DISCOVERIES.md -- what's proven, what failed, open questions (bottom of file)
3. AGENT.md -- machine-executable experiment loop (if running autonomous)
4. LAB.md -- experiment protocol, rules (especially rule #9: metric isolation)

Step 2: Check recent activity

Read the last 10 messages from priority Telegram topics:

import json
for f in ['chat-yad.json', 'chat-yaroslav.json', 'challenge-1-sparse-parity.json']:
    path = f'src/sparse_parity/telegram_sync/{f}'
    try:
        msgs = json.load(open(path))
        print(f'\n=== {f} (last 3) ===')
        for m in msgs[:3]:
            print(f"  [{m['date'][:10]}] {m['sender']}: {m['text'][:150]}")
    except FileNotFoundError:
        print(f'{f} not found -- run: bun run sync_telegram.ts')

Check GitHub for open work:

gh pr list --repo cybertronai/SutroYaro --state open
gh issue list --repo cybertronai/SutroYaro --state open

Step 3: Know the current state

Fact	Value
Best method	GF(2) Gaussian elimination, 509us, ARD ~500
Best energy proxy	DMC (Data Movement Complexity, Ding et al.)
Experiments done	33+ (see research/log.jsonl)
Open questions	Bottom of DISCOVERIES.md (Q7, Q11-Q13 still open)
Next milestone	Energy-efficient nanoGPT training ("final exam")
Meeting cadence	Mondays 18:00 at South Park Commons

Step 4: Before writing code

• Check research/search_space.yaml for allowed parameter ranges
• Check research/questions.yaml for the dependency graph of open questions
• Run checks/env_check.py to verify environment
• Run checks/baseline_check.py if baselines may differ on your machine

For contributors using other tools

This context applies regardless of which AI tool you use. The key files are plain markdown and YAML. Read them before starting work. The experiment protocol in LAB.md and AGENT.md defines the loop: hypothesis, code, run, measure, record.