Results for “context engineering”

…debut, the community has its eyes peeled on a variety of AI and engineering marvels. The eagerness for open source models that could provide 100k+ context and concerns about privacy in information sharing also embodies the diverse range of …

…attribution gap became the story: The day’s most consequential engineering/product discourse centered on Cursor’s new coding model. Initial speculation tied Composer 2 to Kimi via tokenizer/model URL signals, with critics questioning why…

…at AI Engineer and written the definitive book on Inference Engineering spotted all over SF: Three years ago, inference engineering barely existed as a category. Today, it is one of the most critical disciplines in AI. Inference engineering…

…by up to 80%. The feature allows for reusing a book's worth of context across multiple API requests, beneficial for coding assistants, large document processing, and agentic tool use. Grok-2 Release: @_philschmid reported that xAI has…

…complaints of low quality output, hypothesizing that effective context, clear prompts, and structured decomposition tasks—skills rooted in senior-level software engineering—are crucial for leveraging Claude's strengths. Top comments…

…is a strong example of agents being used for sustained systems engineering, migration, testing, and rollout support rather than single-shot codegen. Evals, Misalignment, and Reward HackingCheatBench: @hendrycks and @CAIS released…

…with SQL query engines, Azure BadRequestError puzzles, prompt engineering tips for AWS context, complexities of Pydantic JSON structures, and RouterQueryEngine filter applications. Hail the Claude Calling Agent: LlamaIndex's latest, the…

…Claude Sonnet and Opus to it (@hrishioa). The Rise of "Context Engineering": A significant discussion, amplified by a viral tweet from @karpathy, centers on replacing the term "prompt engineering" with "context engineering". The new term…

…claiming preserved vision, reasoning, tool use, and 262K context with near-zero refusals. Independent of the rhetoric, this is the clearest thread in the set pointing to a real shift: useful, locally deployable, partially uncensored models …

…users suggesting it can run at 4-5 tokens/second with an 8k context window. Some suggest partial offloading to RAM for improved performance. Gemma 2 27B via Ollama is praised for its performance, especially in non-English languages. One…

…observed that the model handled a 32k token inference (likely context length), noting repeated correct responses during thinking. This points to potential issues with attention patterns, verbosity, or energy usage during long context…

…with 600B total / 27B active parameters, up to 1M token context/output, text+image input, and text output. The model targets repo-scale software engineering, long-horizon tool use, multimodal professional work, and finance-heavy reasoning; …