Developer tests Qwen 35B model on Mac for coding tasks, finds promise but struggles with context window limitations during multi-step debugging

User running Qwen3.6-35B-A3B-UD-Q4_K_M on M2 MacBook Pro with 32GB RAM using llama.cpp and opencode for coding assistance

Model successfully identified bugs in a full-stack application task that Claude Opus 4.7 previously completed, but loses critical information during context compaction

Context window limited to 32,768 tokens to prevent memory exhaustion, forcing trade-offs between functionality and stability

Disabling subagents helps preserve task context through first compaction pass by reducing dual context usage, but second compaction pass causes significant information loss

Results are 'tantalizing' as model grasps problem essentials but struggles to proceed to implementation phase due to aggressive context management