Context Is the Real Brain: Why LLM Success Depends on Information, Not Instruction

While developers obsess over crafting perfect prompts, this analysis reveals that context engineering—the strategic assembly of all information a model can access during inference—is the true bottleneck in LLM applications. The central insight reframes optimization entirely: a brilliant prompt without the right documents fails, but a mediocre prompt with perfect context succeeds, fundamentally changing how developers should architect LLM solutions.