All tags
Topic: "model-tuning"
not much happened today
codex openai microsoft cursor_ai langchain-ai agentic-harness-engineering agent-loop-systems-engineering performance-optimization semantic-indexing prompt-evaluation software-engineering sdk-development model-tuning recursive-self-improvement omarsar0 samhogan kimmonismus reach_vb pierceboggan
OpenAI is expanding Codex from a coding tool to a general work surface with persistent context, tools, integrations, and team rollout, including Codex-only seats with $0 seat fee for Business/Enterprise customers through June. Performance improvements focus on agent-loop systems engineering, achieving up to 40% faster agentic workflows via WebSocket mode on the Responses API. VS Code enhances coding-agent UX with semantic indexing, cross-repo search, chat session insights, and prompt/agent evaluation extensions. Cursor launches a Cursor SDK to enable programmable agent infrastructure for CI/CD, automations, and embedded agents, signaling a shift toward headless agent runtimes and usage-based economics. Research highlights Agentic Harness Engineering improving Terminal-Bench 2 pass@1 from 69.7% to 77.0%, surpassing human-designed baselines and reducing token use by 12%. Related work on HALO shows recursive self-improving agents with significant AppWorld score improvements. LangChain’s Deep Agents introduces Harness Profiles for model-specific harness tuning and deployability.