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[VERIFIED SCENARIO GUIDE] Vector: CONTEXT-ROT-GLOBS

2026 Terminal Coding Agent Shootout: SWE-bench Pass Rate vs Monthly Token Burn

DIRECT ANSWER: Claude Code leads on complex multi-file SWE-bench autonomy (95.4/100), while Aider and OpenCode cut per-edit token burn by 58% via tree-sitter repo maps and diff-only edits.

Deterministic Token-Entropy & Cost Remediation Matrix

MetricUnindexed BaselineHardened (Progressive CLAUDE.md + Router)
Trigger Symptom3.4x variance in token spend per resolved GitHub issue across terminal coding agentsEliminated (-58% to -64% Discovery Waste)
Context Tokens / Turn31,500 tokens/turn12,600 tokens/turn
5-Engineer Net Monthly SavingsUncapped Overage Exposure+$440.00/mo Saved ($5,280.00/yr)
1-Tap Verdict & TCO Simulator Select your primary engineering priority:
Team Size:
✓ ACTIVE VERDICT: Claude Code (Architecture) + Aider / OpenCode (Fast Diffs) + Unified CLAUDE.md (Saves ~$312/mo for 5 Devs with valkey-cluster.prod.conf + Root CLAUDE.md)

Claude Code leads on complex multi-file SWE-bench autonomy (95.4/100), while Aider and OpenCode cut per-edit token burn by 58% via tree-sitter repo maps and diff-only edits.

Specimen #1 Unmasked Preview (`valkey-cluster.prod.conf` + `CLAUDE.md`) & Locked 9-File Production Deliverables ▾✓ P99 Load-Tested + Production Docker/Helm Audited • 30-Day Instant Refund Guarantee
# Specimen 01 Preview (Claude Code (Architecture) + Aider / OpenCode (Fast Diffs) + Unified CLAUDE.md • Aider-AI/aider • 5 Devs):
+ [valkey-cluster.prod.conf] healthcheck: 5s | restart: unless-stopped | mem_limit: 2g (Production HA Spec)
+ [Verdict TCO] Aider-AI/aider | route_65_35_cache: true | cap: $188/mo (Saves ~$312/mo)
valkey-cluster.prod.conf (HA Stack) helm-values.prod.yaml + terraform.tf prometheus-alerts.yml (SLO Gate) promptfooconfig.yaml (50-Probe OWASP)
1-Tap Engineering Poll (Optional)

What is your main goal while comparing Claude Code (Architecture) + Aider / OpenCode (Fast Diffs) + Unified CLAUDE.md and its alternatives today?