AI & Coding Feed Digest — 2026-03-21

Key Highlights

• Anthropic publishes research showing infrastructure configuration can swing agentic coding benchmarks by several percentage points — raising questions about leaderboard validity
• Stack Overflow survey finds more developers than ever use AI at work, but trust remains a major barrier
• Retrospective analysis asks whether 2025 truly delivered on the AI agents hype

Research

Quantifying infrastructure noise in agentic coding evals — Anthropic

Infrastructure configuration can swing agentic coding benchmarks by several percentage points — sometimes more than the leaderboard gap between top models. This raises important questions about the reliability of current eval-based model rankings.

Domain expertise still wanted: the latest trends in AI-assisted knowledge for developers — Stack Overflow

More developers than ever are using AI at work to learn, but they still rely on traditional online resources to validate answers. Trust in AI remains a major barrier to full adoption.

Analysis & Opinion

After all the hype, was 2025 really the year of AI agents? — Stack Overflow

Ryan discusses AI evolution with Stefan Weitz, CEO of HumanX Conference, examining how AI agents have transformed over the past year and whether the hype matched reality.

References

1. Quantifying infrastructure noise in agentic coding evals — Anthropic, unknown date
2. Domain expertise still wanted: the latest trends in AI-assisted knowledge for developers — Stack Overflow, 2026-03-20
3. After all the hype, was 2025 really the year of AI agents? — Stack Overflow, 2026-03-20

• Feed-Digest