AI coding agents face limits on the amount of code they can process at once, which can quickly consume token or usage limits when large files are fed directly into a language model. To work around these constraints, developers fine‑tune models to generate auxiliary scripts that extract needed data, allowing the agents to operate on smaller, targeted inputs. Techniques such as dynamic context management and context compression let agents summarize past interactions, preserving essential details while discarding redundant information. These approaches enable semi‑autonomous tools like Claude Code and OpenAI Codex to handle complex codebases more efficiently without overwhelming the underlying model. Leer más →

Anthropic announced the launch of Opus 4.5, its newest flagship model, touting better coding performance, smoother user experiences, and smarter context handling. The model achieved an 80.9 percent accuracy score on the SWE‑Bench Verified benchmark, edging out OpenAI's GPT‑5.1‑Codex‑Max and Google’s Gemini 3 Pro. In consumer apps, Claude now summarizes earlier conversation points instead of abruptly ending sessions when the context window is exceeded, improving continuity for users and developers alike. Leer más →