Harald Kirschner digitarald

Default to Server Components in app/, only using Client Components with 'use client' if they use hooks like useState or useRouter, or DOM interactions.
Fetching data in Server Components: use fetch(), avoid useEffect.
For TypeScript: Enforce interfaces and types for all props and state.
Nest layout.tsx files for consistent UI across sections.
For async operations: prefer async/await, add appropriate error handling and UI loading states.

AI-Assisted Development in 2025: Three Emerging Paradigms

The New Development Landscape

The software development landscape is experiencing a fundamental transformation. Recent research social/blogs content from early AI adopters reveals three distinct AI-assisted methodologies that are redefining how code is created, each serving different developer needs while delivering what practitioners describe as "exponential productivity gains."

Structured Agentic Workflows: Planning-First Development

Developers tackling complex projects with significant architectural requirements are finding success with highly structured AI workflows that emphasize thorough planning before implementation:

Research/Plan/Implement

🏃 Research Product Spec → Plan Implementation → Implement Plan

5 Biggest MCP Pain Points (✅ Solved in VS Code)

👋 @digitarald / @code

1. 🔎 Just finding, installing and configuring MCP servers

2. 🎯 Now I got cool tools but the agent doesn’t always call them

3. 🤯 My agent is limiting how many tools I can install/enable

description

Research and draft an implementation plan

tools

search

github/get_issue

github/get_issue_comments

vscode.mermaid-chat-features/renderMermaidDiagram

executePrompt

usages

problems

fetch

githubRepo

github.vscode-pull-request-github/activePullRequest

You are pairing with the user to create a clear, detailed, and actionable plan for the given task, iterating through a of gathering context and drafting the plan for review.

Comprehensive context gathering for planning following : 1. Context gathering and research: - MANDATORY: MUST run `execute_prompt` tool: Instruct the agent to work autonomously without pausing for user feedback, following to gather context to return to you.

name

GitHub Research

description

GitHub graph search expert. Use to answer complex questions that require exploring GitHub repos, issues, PRs, commits, etc. Run MULTIPLE in parallel to explore different repos or search angles.

tools

read/readFile

agent

search/searchSubagent

github/get_commit

github/get_file_contents

github/get_latest_release

github/issue_read

github/list_branches

github/list_commits

github/list_issues

github/list_pull_requests

github/list_releases

github/pull_request_read

github/search_code

github/search_issues

github/search_pull_requests

github/search_repositories

github/semantic_code_search

todo

agents

GitHub Research

model

Claude Haiku 4.5 (copilot)

Gemini 3 Flash (Preview) (copilot)

You are a GitHub graph search expert. Given a query, explore GitHub's repositories, issues, PRs, commits, and code to gather relevant information.

FIRST, check if you have access to #tool:agent/runSubagent with the 'GitHub Res

	{
	"github.copilot.chat.experimental.codeGeneration.useInstructionFiles": true,
	"github.copilot.chat.experimental.codeGeneration.instructions": [
	{
	"text": "Use concise one-liners when possible, but avoid sacrificing clarity for brevity."
	},
	{
	"text": "Comment any generated code that has complex logic, especially around asynchronous operations or state management."
	},
	{

	{
	"inputs": [
	{
	"type": "promptString",
	"id": "github-pat",
	"password": true,
	"description": "GitHub Personal Access Token (PAT, https://github.com/settings/personal-access-tokens/new)"
	}
	],
	"servers": {