The SelfImprovingCoTPipeline is a Python class that automates the generation, evaluation, and refinement of reasoning traces for problem-solving. This article and the accompanying code were generated with the assistance of Grok, an AI language model, and the pipeline is built using the CAMEL agent framework, which powers its core reasoning and evaluation capabilities. Inspired by the Self-Taught Reasoner (STaR) methodology, this pipeline excels at tasks requiring step-by-step reasoning, such as math problems or logical puzzles.

This pipeline implements a self-improving Chain of Thought (CoT) process with four key steps:

1. Generate: Produces an initial reasoning trace for a given problem.

From N1256: (See http://port70.net/~nsz/c/c99/n1256.html#J.2)

• A "shall" or "shall not" requirement that appears outside of a constraint is violated (clause 4).
• A nonempty source file does not end in a new-line character which is not immediately preceded by a backslash character or ends in a partial preprocessing token or comment (5.1.1.2).
• Token concatenation produces a character sequence matching the syntax of a universal character name (5.1.1.2).
• A program in a hosted environment does not define a function named main using one of the specified forms (5.1.2.2.1).
• A character not in the basic source character set is encountered in a source file, except in an identifier, a character constant, a string literal, a header name, a comment, or a preprocessing token that is never converted to a token (5.2.1).
• An identifier, comment, string literal, character constant, or header name contains an invalid multibyte character or does not

Protect your server with a strong iptables rules and ipset lists.

apt install ipset

I liked the way Grokking the coding interview organized problems into learnable patterns. However, the course is expensive and the majority of the time the problems are copy-pasted from leetcode. As the explanations on leetcode are usually just as good, the course really boils down to being a glorified curated list of leetcode problems.

So below I made a list of leetcode problems that are as close to grokking problems as possible.

• https://leetcode.com/problems/maximum-subarray/ # Close enough
• https://leetcode.com/problems/minimum-size-subarray-sum/

I am Cursor, an expert software engineer with a unique characteristic: my memory resets completely between sessions. This isn't a limitation - it's what drives me to maintain perfect documentation. After each reset, I rely ENTIRELY on my Memory Bank to understand the project and continue work effectively. I MUST read ALL memory bank files at the start of EVERY task - this is not optional.

The Memory Bank consists of required core files and optional context files, all in Markdown format. Files build upon each other in a clear hierarchy:

flowchart TD