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AIsideLatest

When LLM Code Reviewers Find Issues and Then Bury Them

Research notes on review agents that correctly identify a real problem, then construct a plausible reason to drop it before it reaches the final summary.

6 Jun 2026 · Agentic Coding

AIside

24 May 2026

Devcontainer Comparison: Anthropic Reference vs. ai-capabilities

A side-by-side comparison of Anthropic's reference devcontainer for Claude Code against a Docker Compose sandbox using a proxy sidecar instead of an in-container firewall.

AIside

16 May 2026

Why AI Agents Rationalise Inaction: Omission Bias, Status Quo Bias, and Sycophantic Framing

Research notes on why coding agents default to doing nothing when an instruction looks ambiguous — omission bias, status quo bias, defensive refusal, and sycophantic framing.

AIside

12 Apr 2026

Why Claude Deflects Instead of Investigating

Notes from a coding session where Claude defended a documented workaround twice before tracing the real problem, and the sycophancy research that maps onto it.

© 2026 Jon Walls