Intelligent prompt improver hook for Claude Code. Type vibes, ship precision. - severity1/claude-code-prompt-improver

Indexing codebase for RAG with CocoIndex and Tree-sitter in real-time: chunking, embedding, semantic search, and build vector index for efficient retrieval.

HarnessRouter Community Edition: the self-hosted, Apache-2.0 edition of the unified interface for agent harnesses. Run Codex, Claude Code, Hermes, PI, DSH, and more through one API, with sessions, ...

New Features ✨ Structured Generation in CodeAgent: Add optional support for structured outputs in CodeAgent, enabling more reliable and consistent generation patterns Adding optional structured g...

Complete Claude Code configuration collection - agents, skills, hooks, commands, rules, MCPs. Battle-tested configs from an Anthropic hackathon winner. - affaan-m/everything-claude-code

Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-st...

Securely run untrusted workloads in Kubernetes. Contribute to kubefence/kubefence development by creating an account on GitHub.

Pre-indexed code knowledge graph for Claude Code — fewer tokens, fewer tool calls, 100% local - colbymchenry/codegraph

A light-weight and powerful meta-prompting, context engineering and spec-driven development system for Claude Code and OpenCode. - glittercowboy/get-shit-done

Learn how code execution with the Model Context Protocol enables agents to handle more tools while using fewer tokens, reducing context overhead by up to 98.7%.

I think this is related to a known issue that’s been lingering for a while: * * * The warning looks much more like a failure in the **quiz’s own feedback grader** than a failure in your `CodeAgent`. The current quiz Space still creates its own `InferenceClient`, sends your submitted code to `Qwen/Qwen2.5-Coder-32B-Instruct`, and catches failures from that separate inference call as: > `Error generating feedback: ...` You can see that path directly in the current quiz app.py. So I would **not keep changing your exercise code just to make this particular warning disappear**. If your main goal is to continue the course, the simplest option is probably to **skip this Final Quiz for now and continue to the next section**. The course explicitly describes this quiz as ungraded and uncertified; it is meant as a learning/self-check exercise rather than a certification gate. If you want to check your answer anyway, I would use the question’s assessment criteria/reference solution as the useful signal rather than treating this connection error as evidence that your answer is wrong. Why this looks like a long-running grader-side issue (click for more details) Where the failure actually occurs (click for more details) What seems to be the current migration direction (click for more details) A practical decision tree (click for more details) So, in short: **this warning does not look like evidence that your submitted`CodeAgent` solution is wrong.** It looks closely related to the quiz grader’s long-running inference-routing problem. I would continue with the course for now, and treat fixing the grader as a separate Space/maintainer-side issue. The existing Space discussion, migration PR, and Agents Course issue #709 are probably the most useful places for future readers to follow its status.

IBM Langflow OSS versions 1.0.0 to 1.10.0 have a security weakness.

PraisonAI before 1.6.78 contains a remote code execution vulnerability in CodeAgent._execute_python() that executes LLM-generated Python code without AST validation, import restrictions, or sandbox enforcement. Attackers can influence LLM output through prompt injection to exfiltrate all environment secrets and execute arbitrary code on the host system.

CVE-2026-61447 is a critical vulnerability in MervinPraison's PraisonAI product prior to version 1.6.78. The issue lies in the CodeAgent._execute_python() method, which executes Python code generated by the language model without AST valida

PraisonAI versions prior to 1.6.78 are at risk of attackers executing malicious code on the host system.