Daily Report — 2026-06-03

Daily Overview

• What was done: Executed a repository hygiene rewrite to purge accidental large artifacts from TokenMonitor, implemented cross-platform single-instance locking and a cross-repo deployment CLI (aidev install), and completed the recovery of lost MIHD experimental data alongside the design of its scientific equivalence validation harness.
• How it was done: Used git commit --amend for safe history preservation, built Rust-based loopback port locks with native dialogs for macOS/Windows compatibility, developed TypeScript/Node.js CLI logic with fuzzy matching for idempotency, and restored MIHD state from NetApp snapshots while designing metric-based (ARI/NMI) verification protocols.
• Impact: Reduced the TokenMonitor repository size by ~99% without breaking upstream synchronization, established a standardized tooling deployment workflow across five repositories, prevented duplicate instance conflicts in production, and recovered approximately two months of lost computational biology data with validated model fidelity.

Consolidated critical infrastructure updates by cleaning the TokenMonitor git history, implementing a robust single-instance guard and aidev install CLI, while finalizing MIHD data recovery and scientific model equivalence verification.

Tasks

Architecture & Strategy

• ✅ Git History Rewrite Optimization — Reclaimed ~302MB by removing accidental Rust build artifacts from the TokenMonitor repository using targeted commit amending to preserve upstream sync and release tags.
• ✅ MIHD Data Recovery — Restored ~2 months of uncommitted work from NetApp snapshots, fixed critical bugs in QueST/geneenc simulations, and resolved GPU scheduling starvation issues.
• ✅ Implementation of Single-Instance Guard — Developed a loopback-port-based locking mechanism for the TokenMonitor Tauri app, including cross-platform native dialogs and process detection logic to prevent duplicate instances on startup.
• ✅ Implementation of aidev install CLI — Created a CLI command for cross-repo companion deployment featuring idempotency checks, platform-agnostic path normalization, and verification across five sibling repositories.
• 🔄 STAIG Equivalence Verification Setup — Designed and initiated a harness to validate that the new ‘staig_fusion’ implementation matches the original STAIG reference within 5% ARI/NMI divergence.

Implementation & Fixes

• ✅ TokenMonitor Deployment & Environment Fixes — Fixed persistent white-screen bugs, migrated local AI tooling to AWS Claude Platform, and updated permission surface tests for new dialog capabilities.

Problems & Solutions

Critical Issues

1. Accidental commit of ~302MB build artifacts broke repository health; full history rewriting risked breaking upstream synchronization.

Solution: Identified the specific offending commit and used git commit --amend only on the tip to preserve ancestor integrity, successfully reducing repo size while maintaining 0-behind status with upstream.

Key Insight: When cleaning forks, altering shared history changes ancestor SHAs; selective amending is safer for preserving upstream relationships than broad filtering tools.

2. MacOS ‘App is damaged’ errors and potential duplicate instance conflicts were initially misdiagnosed as port exhaustion or signing issues.

Solution: Clarified that production Tauri apps may not listen on ports; implemented a synchronous, pre-event-loop loopback port lock with native dialogs to ensure exclusive access and handle startup logic robustly.

Key Insight: Cross-platform single-instance checks must be independent of the app event loop and consider both process presence and port occupancy for completeness.

3. aidev install failed idempotency checks due to path separator mismatches (backslash vs slash) and marker text variations across platforms.

Solution: Implemented fuzzy matching for markers and canonicalized path handling before comparison, adding pre-flight verification steps to ensure consistent state detection.

Key Insight: Cross-platform CLI tools must normalize separators and check the state of targets, not just file presence, to guarantee true idempotency.

4. MIHD Slurm jobs stuck in PD state; TokenMonitor white-screen due to orphaned Vite ports; QueST script UnboundLocalError.

Solution: Resolved GPU scheduling starvation by switching device types, cleaned zombie processes for clean port binding, and fixed variable scoping in benchmark scripts.

Key Insight: In HPC, specific hardware constraints often block jobs more than partition priority; Tauri’s strict port mode fails silently if zombie processes persist after dev server crashes.

Human vs AI Approaches

Strategic Level

Git History Management Strategy

Role	Approach
Human	User requested force-push but explicitly chose to preserve source profiler and reject pushing release tags, guiding the scope of cleanup.
AI	AI initially attempted a full filter-repo which broke upstream sync; pivoted to targeted amending after user identified the ‘behind’ status anomaly.

Difference Analysis: Human provided critical boundary conditions on what not to change (tags, shared ancestors), preventing data loss or sync breaks that AI missed by focusing only on cleanup efficacy.

Scientific Model Verification Approach

Role	Approach
Human	Human established the scientific boundary that bit-identical output is impossible due to randomness, directing validation toward metric divergence (ARI/NMI).
AI	AI focused on component-wise code diffing first, then designed the empirical harness based on the human’s constraint.

Difference Analysis: Human provided the essential scientific validity check early, preventing wasted effort on unachievable reproducibility goals.

Single Instance & macOS Error Diagnosis

Role	Approach
Human	User conflated macOS signing errors with instance conflicts but correctly identified the need for exclusive access logic.
AI	AI separated the root causes (signing vs. locking) but merged them logically in the implementation by adding both checks to a single robust mechanism.

Difference Analysis: AI bridged the technical gap between symptoms and implementation, ensuring the solution addressed both environmental errors and functional requirements.

AI Limitations

Critical Limitations

• First attempt at repository cleanup (filter-repo) failed to anticipate the impact on shared commit history, breaking upstream synchronization.
• Initially misdiagnosed macOS runtime errors as port conflicts rather than signing/Gatekeeper issues, likely due to context bias from previous troubleshooting sessions.

General Limitations

• Unable to execute full scientific equivalence tests within single session limits due to SLURM queue latency and wall-clock restrictions.

Learnings

Key Learnings

• When cleaning up large accidental commits in a forked repository, verify behind/ahead status against upstream before and after operations; amending only the tip commit preserves ancestor integrity.
• When verifying scientific code equivalence across different environments, always anchor validation on final output metrics (e.g., ARI/NMI) rather than attempting bit-identical reproducibility.
• Production Tauri apps may not listen on ports during startup; single-instance logic must be synchronous and independent of the app event loop to function reliably.

Practical Learnings

• CLI tools for multi-repo deployment must handle platform-specific path differences and existing state variants (partial installs) gracefully to ensure true idempotency.

Conversation Summaries

TokenMonitor Engineering & CI/CD

✅ Repository Hygiene, Single-Instance Guard, and CLI Tooling 02:53:52.859 | claude_code Executed a critical git history rewrite to remove ~302MB of accidental build artifacts while preserving upstream sync via selective commit amending. Implemented a robust, cross-platform single-instance guard using loopback port locking and native dialogs for Tauri/macOS. Additionally, developed the aidev install CLI tool with idempotency checks and path normalization for deployment across five sibling repositories.

MIHD (Computational Biology)

✅ Data Recovery and Model Validation 00:05:43.646 | claude_code Recovered approximately two months of lost MIHD experimental data from NetApp snapshots and fixed critical bugs in QueST/geneenc simulations. Designed a comprehensive equivalence verification harness to confirm that the new ‘staig_fusion’ implementation matches the original STAIG reference within 5% ARI/NI metric divergence.

TokenMonitor Dev Environment

✅ Debugging and Configuration Migration 00:45:51.013 | claude_code Resolved persistent white-screen issues caused by orphaned Vite processes and migrated the local Claude Code development environment from Amazon Bedrock to the Claude Platform on AWS, updating configuration files accordingly.

Token Usage