Opportunities

blockchaine , testnet , gaming , streamer

AI-powered trading intelligence for smarter market decisions

Circuit Framework — multi-agent LLM trading research system

Payment integration is a demanding repository-level software task: agents must select a suitable product, implement coordinated client-server flows, verify paym

PentestCode - Multi-agent AI penetration testing system with persistent engagement state, strategic coordination, and parallel autonomous operations.

Native Liquid Glass AI token tracker for macOS — monitor Claude Code, Codex, Gemini CLI, OpenCode, and 10 more tools locally.

Recent advances in Large Language Models have fueled autonomous AI agents capable of tackling complex scientific tasks, yet existing automated research systems

Enterprise large language model (LLM) applications often begin as prototypes whose behavior is carried by prompts and retrieval context. Productization adds req

As the cost of code generation becomes cheaper with AI, the new bottleneck in software engineering has shifted to intent specification and validation. Overcomin

Agentic QA testing for enterprise software

MCP server serving Apple Human Interface Guidelines as structured design tokens for AI coding agents — post-WWDC25 system colors, Liquid Glass constraints, Swif

Gogh is a source-cited Obsidian operating brain that turns six frontend design skills into one advisable stack for AI coding agents.

Scaling executable agent training data is bottlenecked by substrate-first methods that tie task generation to predefined tools, repositories, or skill graphs: e

Background: Infrastructure-as-Code (IaC) scanners detect cloud misconfigurations in Terraform and other IaC languages before deployment, but repairing the flagg

Smart contract compilers are critical to ensuring the correctness of public blockchains whose defining characteristics are open-source and immutable code. We cr

The behavior of an LLM agent is determined not only by the underlying model, but also by its harness: the executable program that constructs context, invokes to

While search agents demonstrate impressive capabilities in multi-step question answering, their robustness to poor-quality evidence remains under-explored. This

Show HN: Kastor – Terraform-style specs for AI agents

AI SRE AgenticOps for Kubernetes and cloud infrastructure.

机构级个股投研报告 Agent Skill（九章结构 + 多方法估值交叉验证），适用于 Claude Code / Cowork / Codex 等 AI Agent 工具