
Why the US Government Pulled Fable 5: Four Theories
A narrow jailbreak that other models can match does not get a frontier model recalled. So what actually happened? The plausible explanations, ranked.
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Deep dives into AI agents, coding tools, and building with LLMs.
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A narrow jailbreak that other models can match does not get a frontier model recalled. So what actually happened? The plausible explanations, ranked.

AWS Kiro is the spec-driven agentic IDE replacing Amazon Q Developer. How it differs, how pricing compares, and the migration timeline before April 2027.

Claude Agent SDK vs Claude Code explained: same engine, two surfaces. Here is the concrete decision line, plus where Managed Agents fits as the hosted third option.

Claude Agent SDK vs LangGraph head-to-head: architecture, state handling, multi-agent patterns, and real pricing - plus a decision guide for which agent stack fits your team in 2026.

Claude agents vs skills, untangled: agents are workers with their own context window, skills are instructions loaded on demand. Here is the decision table.

Claude Code auto mode swaps permission prompts for a background safety classifier. How the Shift+Tab cycle, hard_deny rules and glob deny patterns fit together.

Claude Code dynamic workflows turn orchestration into a JavaScript script that runs agents in the background. How scripts, schemas, budgets and resume work.

Claude Code fast mode pricing: $8/$40 per MTok on Opus 5.5, the first-enable context charge, separate rate limit pools, and when 2.5x speed pays off.

Claude Code Routines vs Managed Agents scheduled deployments: how triggers, pricing and limits differ, and where your recurring agent work should run.

Claude Code subagents vs agent teams vs workflows: who holds the plan, the hard limits from the docs, and which parallelism primitive fits your task.

Claude Fable 5 vs Gemini 3.1 Pro: Anthropic's $10/$50 API-only model vs Google's $2/$12 preview on price, context and benchmarks, and how Opus 5 shifts it.

Anthropic's docs say the tokenizer introduced with Opus 4.7 can use up to 35% more tokens for the same text. Here is what that does to per-request cost, max_tokens, and cross-model comparisons.
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