Recent developments in LLMs show a trend toward longer context windows, with the input token count of the latest models reaching the millions. Because these models achieve near-perfect scores on widely adopted benchmarks like Needle in a Haystack (NIAH) [1], it’s often assumed that their performance is uniform across long-context tasks.| research.trychroma.com
LLMs make it easier to write code, but understanding, reviewing, and maintaining it still takes time, trust, and good judgment.| ordep.dev
A blog post covering tips and tricks that have proven effective for using Claude Code across various codebases, languages, and environments.| www.anthropic.com
