Results for “context engineering”

…Contrastingly, GPT-4o was praised for better real-world context understanding when compared to GPT-4 in some prompt engineering cases. Navigating GPT-4o's Access and Features: Users expressed confusion around the access and rollout phases…

…run efficiently. Inference—running a trained model—became the engineering priority once the model had a useful job. This Latent Space conversation, published September 3, 2024, describes her Convai-era work. Its recording date is…

…and layout reasoning for graphic design @jzw1365297. Agentic Context Engineering released an official implementation for evolving agent context @omarsar0. Other notable OSS: VLQM‑1.5B‑Coder (English→Manim animation code) fine‑tuned locally …

…extending investigations with new requests. The preference for context reflects two engineering judgments. One participant argues that similarity retrieval based on cosine distance or dot products struggles when a query combines multiple…

…anniversary of Vibe Coding, and Andrej has nominated Agentic Engineering as the new meta of the year, even as METR anoints GPT 5.2 High as the new 6.6 hour human task model, beating Opus 4.5, and sama announces 1m MAU of Codex. AI Twitter…

…without a clear explanation. The guest characterizes it as “90% engineering” because so much daily work consists of inspecting data and writing code, rather than as a measured division of labor. The model factory is Poolside’s system for…

…Mistral Mechanics Mapped: Confusion about system prompts in the context of character cards was clarified by discussing different prompt assemblies across various models and offering guidance to new LLM users on grasping model internals…

…the same essay, he warns that producing code without tests or context shifts the cognitive burden onto teammates. He recommends deterministic validation, reproducible test cases, clear accounts of failure modes and documentation that helps …

…controllable agents and unified docs, emphasizing "Agent Engineering." Meta introduced PyTorch Monarch and TorchForge for distributed programming and reinforcement learning, enabling large-scale agentic systems. Microsoft Learn MCP server…

…customer workflows—and when specialized models, proprietary context or engineering provide advantages. When temporary model improvements are worth building In the April 2026 Latent Space crossover, Effron described becoming more open to…

…set is coming. Agents, Harnesses, and Developer Tooling Agent engineering discussion centered on harnesses, skills, context management, and async orchestration more than raw model choice. swyx outlined AI Engineer tracks including Context…

…into unknown model behavior. A respondent acknowledges the engineering and enterprise value of restricting dangerous-content benchmarks but sees that work as weakly connected to their conception of real-world safety. Another favors giving…