Cisco Foundation AI has open-sourced FAPO (Fully Automated Prompt Optimization), a Claude Code-driven system that autonomously optimizes multi-step LLM pipelines from baseline prompts to target accuracy. FAPO evaluates a chain, attributes failures at the step level, proposes variants across prompt, parameter, and chain-structure levels, and validates each through an independent reviewer. In Cisco's evaluation, it beat GEPA on 15 of 18 model-benchmark comparisons. Here's how the optimization loop works and how to run it.
The post Cisco AI Introduces FAPO: Pipeline-Aware Prompt Optimization With Step-Level Failure Attribution and Claude Code Orchestration appeared first on MarkTechPost.
Claude Code's Artifacts enhance collaborative development, fostering dynamic, secure internal app sharing, potentially boosting enterprise productivity.
The post Claude Code launches Artifacts for sharing interactive apps and dashboards appeared first on Crypto Briefing.
Arbor's superior performance in AI optimization could accelerate advancements in machine learning, influencing future AI development strategies.
The post Arbor framework outperforms Claude Code and Codex by 2.5x in AI optimization benchmarks appeared first on Crypto Briefing.
Nvidia's ENPIRE hands an entire robot fleet to coding agents like Codex and Claude Code, letting them write training code, test it on real hardware, and improve without a human watching.
The report highlights AI's growing role in execution, yet underscores the enduring necessity of human expertise for strategic planning.
The post Anthropic releases economic research on Claude Code usage, reveals humans still do most of the thinking appeared first on Crypto Briefing.
Many AI agent systems become economically unsustainable long before they become technically impressive. Teams usually focus on model choice, prompt design, tool calling, and orchestration. Those things matter, but they are only part of the system setup. The deeper issue is that coding agents, such as Claude Code, Codex, and Jules, make agent workflows easier […]
Claude Code is a genuinely good agent builder. You describe what you want, it reasons through the problem, picks tools, and ships working code. For greenfield projects against well-documented libraries, the experience is close to magic. Where it gets harder is the same place every coding agent struggles: building on a specialized platform with its...
The post The DataRobot platform as skills in Claude Code appeared first on DataRobot.
The following article originally appeared on Sena Evren’s Legal Layer newsletter and is being reposted here with the author’s permission. TL; DR Agentic coding tools like Claude Code, Cursor, and Codex generate code that may be uncopyrightable, owned by your employer, or contaminated by open source licenses you cannot see. Some of this is settled […]
Z.ai launched GLM-5.2 on June 13, 2026, across every GLM Coding Plan tier. The headline is a usable 1-million-token context window plus High and Max effort levels. It drops into Claude Code, Cline, and OpenClaw through an Anthropic-compatible endpoint. No benchmarks shipped at launch, and MIT open weights are promised next week.
The post Z.ai Launches GLM-5.2 With a Usable 1M-Token Context, Two Thinking-Effort Levels, and No Benchmarks at Launch appeared first on MarkTechPost.
Claude Code is a layered agentic coding tool, not a single chat prompt. This guide breaks down 25 features, from CLAUDE.md, skills, subagents, and hooks to MCP and Auto Mode. It includes a comparison table, working code examples, real use cases, and an interactive demo you can try.
The post Claude Code Guide 2026: 25 Features with Examples + Demo appeared first on MarkTechPost.
