1916 related articles

Caddi lets users record a narrated screenshare to auto-generate production-grade AI agents, combining AI reasoning with deterministic execution for reliable back-office automation.

Trama is a macOS native automation tool that creates workflows from natural language. Supports AppleScript, Shell, OCR, screen awareness, and integrates Claude, GPT and more models via BYOK.

Deep dive into Vercel Labs' agent-browser tool. Its REF element reference mechanism lets Claude Code automate web operations, form filling, login testing, and data collection with 10x efficiency gains and 92% success rate.

Learn how AI Agents are leading a new software testing paradigm. Covers PyTest framework, Web and API automation, and the full loop from requirements to CI/CD.

A detailed guide on building a GitHub code review bot from scratch, covering cloud deployment, secure sandboxes, Vercel AI SDK, and multi-agent collaboration for automated development workflows.

Deep dive into the verification browser for AI agents: how 13ms verification windows and one-call checks solve hallucination problems in browser automation, enabling the leap from capability to trustworthiness.

Explore how AI agents are redefining enterprise work—from applied AI partnerships and multi-agent collaboration to structural workflow redesign and organizational transformation.

An in-depth look at an intelligent paper writing platform built on FastAPI + Vue 3, combining LLM, RAG, and multi-Agent collaboration for full-process automation—an excellent case study for AI developers.

In-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing and the transition path for test engineers.

An in-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing methods and the transition path for test engineers.

Veta is an open source AI testing agent: just describe your test goal in natural language and it autonomously plans, executes, verifies, and reports Android test results — no scripts needed.

A deep dive into AI testing workflows: API capture, test case generation, Agent orchestration, and automated execution. Learn the two core challenges — incomplete information and mandatory human review.

A deep dive into building verifiable, self-evolving Agent automation loops with Claude Code and Codex — covering Loop Contracts, four trigger types, three-phase execution architecture, and Evolve Loops.

A deep dive into OpenAI Codex: browser automation, Goal execution, plugins, Skills ecosystem, and coding power. Master 90% of Codex's features and transform your workflow.

A comprehensive guide to Ansible, the open-source IT automation platform: core architecture, design philosophy, and use cases. Learn about agentless mode, YAML Playbook syntax, idempotency, and best practices for DevOps and Infrastructure as Code.

A hands-on review of how OraAgent (AI assistant Aura) automates the entire foreign trade prospecting email workflow: auto-searching customers, prioritizing quality leads, batch-generating personalized emails, and one-click sending to cut acquisition costs.

The Hermes Agent gets a major upgrade with eight new features: native iMessage, parallel background sub-agents, Unreal Engine MCP support, a self-evolving Skill Hub, and more. A hands-on breakdown of the core changes and their real impact on personal AI automation workflows.

APA (Agentic Process Automation) merges LLM agents into RPA, supporting natural language, operation manuals, and video recording to generate scripts—paired with financial-grade security and three-layer protection for enterprise automation.

Testing research automation agent Klaus Goh: full reproduction of IBM's TTM time series paper at NeurIPS—from search to zero-shot inference, 2700+ predictions in 10 seconds, MSE 0.363 beating TimesFM.

Learn how to use AI Agents to link the entire research pipeline—from literature management, data analysis, and paper writing to scientific illustration and dissemination—building a reusable research automation workflow with NotebookLM, N8N, and Ollama.