Agentic Coding

This GitHub repository is a comprehensive guide to Claude Code and agentic AI development that directly aligns with your interests. The guide teaches advanced agentic coding patterns including how to design efficient workflows using PRD documents, CLAUDE.md configuration files, and custom skills rather than copy-pasting templates. It covers architectural mental models for context flow and tool orchestration, trade-off frameworks for deciding when to use agents vs skills vs commands, and methodologies (TDD, SDD, BDD) adapted for AI-assisted development. The repository includes 268 production templates organized by complexity, 48 visual diagrams explaining how Claude Code works internally, a 473-question knowledge assessment, and security threat intelligence tracking 28 CVEs plus 655 malicious skill patterns. For prompt engineering specifically, the guide emphasizes "vibe coding" through specification-driven workflows, includes a personalized onboarding tool that asks about your goals and builds custom learning paths, and provides an interactive MCP server that answers questions directly from Claude Code sessions. It also covers context management thresholds (precision loss at 70%, hallucinations at 85%, erratic responses at 90%+) and includes an extensive reference on how to structure CLAUDE.md files effectively as the core configuration layer for agents. The resource is uniquely positioned for solo founders—it focuses on autonomous workflows, phase-based adoption (starting simple, scaling smart), and production hardening patterns verified through real-world use.

Claude Code and Cursor represent distinct workflow philosophies for professional agentic coding rather than a simple choice between two tools. Cursor excels in interactive, IDE-centered development with tight visual feedback loops, inline editing, and developer control over each change through reviewable diffs—making it ideal for developers who spend most of their time in an editor and want AI directly embedded in their editing workflow. Claude Code emphasizes delegating complete engineering tasks to an autonomous agent through terminal workflows, encouraging developers to specify outcomes rather than individual code changes, and naturally integrating into repository-wide investigations, multi-file implementations, testing, automation, and CI/CD pipelines. For professionals using PRDs and AGENTS.md documents, the key distinction is control versus delegation. Cursor keeps developers deeply involved in steering the agent and inspecting changes incrementally, while Claude Code encourages giving the agent a complete engineering objective—such as "investigate authentication failures, identify root cause, implement the fix, add regression tests, and run the suite"—allowing it to work autonomously across the repository. For SDETs and test automation, Claude Code's ability to understand entire test frameworks, API helpers, page objects, and fixtures makes it particularly valuable for repository-wide test changes, while Cursor works well for interactively developing individual tests. The article emphasizes that neither tool should be measured by lines of code generated, but rather by engineering value: useful output minus rework cost, verification effort, and defects. Professional teams often benefit from hybrid workflows, using Cursor for interactive coding and Cursor for delegated engineering tasks, with Git, tests, and CI serving as verification boundaries.