
VS Code 1.128 Multi-Chat Claude Sessions: Developer Guide
VS Code 1.128 adds multi-chat for Claude agent sessions: run parallel conversations in one workspace, fork turns, compare approaches and monitor subagents.
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VS Code 1.128 adds multi-chat for Claude agent sessions: run parallel conversations in one workspace, fork turns, compare approaches and monitor subagents.

Astro 7.0 rewrites core components in Rust, upgrades to Vite 8 with Rolldown, and delivers significant performance gains for content-heavy sites.

Better Auth, the open-source auth framework popular with Next.js developers, is joining Vercel. What it means and why HN is wary of open source acquisitions.

GLM 5.2 and the AI margin collapse thesis: why open-weights models could squeeze frontier lab margins, where HN pushes back, and what it means for model choice.

Harness engineering is where self-improving AI starts, Lilian Weng argues, not models rewriting their weights. What that means for developers building agents.

Ilya Sutskever's rumored 30-paper ML reading list, now on 30papers.com. What the papers cover, the compression thesis behind them, and what HN thinks.

Small AI models run on handheld devices where networks fail, like an on-device pill scanner. HN debates offline emergency kits and domain-specific models.

Ternlight is a 7 MB ternary-quantized embedding model that runs semantic search in the browser via WASM, with no API calls. How it works and what HN thinks.

ZCode is Z.ai's free desktop agentic development environment tuned for GLM-5.3. Setup, Goal Mode, pricing, and how model connections work.

A Dartmouth study of an AI tutor in intro statistics links full engagement to a 0.71-1.30 SD exam gain. What it measured, and why selection bias still matters.

Anthropic's new research reveals LLMs have an internal 'workspace' for silent reasoning - and it could change how we build safer AI.

A controlled study of 660 Claude Code trials shows clean codebases reduce token usage by 7-8% and file revisitations by 34%, while pass rates stay the same. Traditional maintainability principles still matter in the age of AI coding.
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