Agentic Coding

The content describes a Claude Code research skill called "Jean" that demonstrates advanced agentic coding practices relevant to your interests. The skill implements a structured protocol with verification loops for AI-assisted research: it scopes requirements before searching, conducts three cycles of targeted research across academic databases, evaluates sources through triangulation, fact-checks citations to prevent hallucinations by verifying DOIs and URLs, and highlights open questions in the field. The author emphasizes building automated verification loops and following clear protocols to direct AI toward high-quality outputs, presenting this as a practical example of how to work effectively with Claude Code for complex tasks. The skill is customizable and available for installation, demonstrating both the methodology and practical implementation of agentic coding for research workflows.

Thariq Shihipar from the Claude Code team at Anthropic advocates replacing Markdown with HTML for AI-assisted development workflows to improve human engagement and collaboration. He demonstrates three key workflows: using interactive HTML for brainstorming and planning instead of overwhelming text documents, building disposable micro-apps as custom UIs to edit specific plan components, and creating a portable "living design system" in HTML that Claude can reference to maintain visual consistency across projects. This approach treats only 1% of generated tokens as production code, with the remaining 99% spent on rich scaffolding like interactive plans and custom interfaces that help developers act as "compute allocators" making better decisions about resource allocation.

Matt Pocock's agent skills collection directly addresses your workflow optimization needs. The repository provides battle-tested prompts for Claude Code and similar agents, focusing on solving four critical failure modes: misalignment between you and the agent (fixed via /grill-me and /grill-with-docs for deeper requirement gathering), excessive verbosity (solved through building a shared domain language in CONTEXT.md), poor code quality (addressed via /tdd for red-green-refactor loops and /diagnose for structured debugging), and architectural decay (prevented through /improve-codebase-architecture and /zoom-out for system-level perspective). Key skills relevant to your PRD and agentic coding workflow include /to-prd for converting discussions into structured specifications, /grill-with-docs for aligning with agents while documenting architectural decisions, and /tdd for maintaining code quality through test-driven development—all designed to be composable, model-agnostic, and practical for real engineering rather than "vibe coding."

Auto-Accept mode eliminates permission prompts for file edits, enabling uninterrupted execution during intensive coding sessions—ideal for large refactoring operations, following well-defined implementation plans, and repetitive multi-file operations. You can cycle through Claude Code's five permission modes instantly using Shift+Tab, matching each mode to your development phase: Normal mode for learning and production code, Auto-Accept for active development flow, Plan mode for codebase exploration and code review, Don't Ask mode for CI/CD pipelines with pre-approved tools, and Bypass mode only for isolated environments. For consistent workflow optimization, set your preferred default permission mode in settings.json so you start each session in the right configuration without manual toggling.