Claude Code /batch and /simplify Skills
by alexander-opalic
How the /batch and /simplify Claude Code skills work — parallel work orchestration and automated code cleanup.
workflow
(10)Awesome Copilot
by github
GitHub's official collection of community-contributed customizations—agents, prompts, instructions, and skills—for extending Copilot's capabilities across domains and workflows.
Prompt Files in VS Code
by microsoft
Prompt files (.prompt.md) enable reusable, standardized AI workflows that load on demand—unlike custom instructions which apply globally.
Deep Dive on AWS Lambda Durable Functions
by aws
AWS Lambda durable functions let developers write reliable business logic as sequential code while gaining automatic checkpointing, retry handling, and execution suspension—combining monolith simplicity with microservice resilience.
AWS Lambda Durable Functions
by aws
Lambda durable functions use checkpoint/replay to enable resilient multi-step workflows that can run for up to a year, automatically recovering from failures without re-executing completed work.
Claude Code is Amazing... Until It DELETES Production
by indydevdan
AI coding agents can execute destructive commands autonomously. Without guardrails like permission prompts, sandboxing, and careful workflow design, Claude Code's power becomes a liability.
Awesome list of Claude Code tips, tricks, gotchas
by prize-individual4729
A community-sourced collection of Claude Code tips covering skills-based workflows, spec-driven development, git worktrees, and autonomous coding sessions.
Mastering Subagents in VS Code Copilot
by alberto-salazar
Subagents offer isolated, autonomous task execution within Copilot Chat—running refactors, tests, and security scans in separate Git worktrees without polluting your main workspace.
Set Up a Test-Driven Development Flow in VS Code
by microsoft
AI-assisted TDD in VS Code works best through custom agents that enforce Red-Green-Refactor discipline with explicit handoffs between phases.
TDD with GitHub Copilot
by paul-sobocinski
TDD remains essential with AI coding assistants—unit tests provide fast, accurate feedback that catches LLM hallucinations, while incremental test-first development aligns with how AI performs best.