#anthropic

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LLM sources.twitter Mar 28, 2026 2 min read

AnthropicAI highlighted an Engineering Blog post on March 24, 2026 about using a multi-agent harness to keep Claude productive across frontend and long-running software engineering tasks. The underlying Anthropic post explains how initializer agents, incremental coding sessions, progress logs, structured feature lists, and browser-based testing can reduce context-window drift and premature task completion.

Sciences sources.twitter Mar 27, 2026 2 min read

Anthropic said on March 23, 2026 that not every long-horizon task benefits from splitting work across many agents, and pointed to a sequential setup for modeling the early universe. In the linked research post, Anthropic describes using Claude Opus 4.6 with persistent memory, orchestration patterns, and test oracles to implement a differentiable cosmological Boltzmann solver.

LLM sources.twitter Mar 26, 2026 2 min read

Anthropic said on March 25, 2026 that Claude Code auto mode uses classifiers to replace many permission prompts while remaining safer than fully skipping approvals. Anthropic's engineering post says the system combines a prompt-injection probe with a two-stage transcript classifier and reports a 0.4% false-positive rate on real traffic in its end-to-end pipeline.

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