Practical guides on Claude Code, Codex, MCP, subagents, hooks and AI coding workflows for developers building real products.
Compare Claude Code and Codex for repo work, planning, code edits, reviews, terminal workflows and solo SaaS shipping.
A practical Codex CLI workflow for reading a repo, changing code, checking tests and keeping changes small.
Use MCP servers with Claude Code without creating a fragile agent setup that leaks context or breaks every week.
A practical AI agent workflow for SaaS codebases: context, plan, edit, verify, summarize and decide the next product action.
Choose an AI coding agent by repo understanding, edit discipline, verification, security boundaries and how well it works with your stack.
Compare Claude Code and Cursor for codebase navigation, AI edits, reviews, terminal work and solo developer shipping.
Compare Codex and Cursor when choosing between an agentic coding workflow and an AI-native editor.
Use an AI code review agent for regressions, security boundaries, tests, architecture drift and unclear diffs.
Explore practical MCP server examples for docs, files, databases, browser workflows and SaaS operations.
A practical AI coding workflow for Next.js apps with Server Components, actions, auth, tests and deployment checks.
Use Claude Code hooks for formatting, checks, notifications and guardrails without turning the workflow into hidden magic.
Use subagents for code review, QA, research, security checks and focused implementation without losing project context.
Write a codebase prompt that tells an AI agent how to inspect files, respect architecture, edit safely and verify changes.
Use Codex to review diffs for regressions, missing tests, unclear ownership and unsafe assumptions before shipping.
Compare Codex and GitHub Copilot for repo-level changes, code review, terminal checks, IDE assistance and SaaS shipping workflows.
Write repo instructions that help AI coding agents respect architecture, tests, security rules and local workflows.
Use AI agents to choose, run and interpret tests without turning every change into a full CI run.
Use a Playwright QA agent to verify user workflows, screenshots, console errors and responsive behavior before shipping.
Give an AI coding agent the right codebase context before it edits files: architecture, rules, commands, risks and examples.
Compare Claude Code and GitHub Copilot for agentic repo work, IDE assistance, reviews, terminal tasks and multi-file changes.
Compare Copilot code review and Codex review workflows for diffs, tests, architecture drift and security boundaries.
Choose MCP tools for AI coding agents without giving them unnecessary access, noisy context or unsafe write capabilities.
Use an AI coding agent for refactors without mixing behavior changes, style churn and architecture drift.
Use AI coding agents in monorepos by scoping packages, commands, ownership boundaries and verification paths.
Use AI agents for framework, API or codebase migrations while keeping scope, tests and rollback points explicit.
Use an AI agent to review pull requests for behavior, tests, security boundaries and release risk before merge.
Choose sandbox permissions for AI coding agents so they can work without destructive commands or unsafe external access.
Compare AI agent CLI tools by repo understanding, terminal control, edit safety, test behavior and handoff quality.
Use AI agents to fetch current docs before coding against libraries, frameworks, SDKs and cloud services.
Use an AI agent to debug by proving the root cause before editing files or guessing fixes.
Use an AI agent to check tests, diffs, migrations, env vars, changelog and rollout risks before release.
Use an AI agent to search a codebase with ripgrep, file maps and evidence before changing implementation.
Use an AI coding agent to review auth, authorization, inputs, secrets and payment changes before shipping.
Use AI agents to generate focused unit, integration and Playwright tests from behavior and risk instead of snapshots.
Examples of repo instructions that help Codex respect architecture, tests, security rules and product constraints.
Use an AI agent to plan refactors by preserving behavior, sequencing changes and proving the result with tests.
Use AI agents to check environment variables, typed env files and deployment config before shipping app changes.
Use the Claude Code Plan Mode shortcut, know when it works, and what to do when Shift+Tab does not activate planning.
Fix common Claude Code Plan Mode issues: shortcut ignored, no Plan indicator, outdated CLI or prompt already typed.
Activate Claude Code Plan Mode with Shift+Tab, /plan, or claude --permission-mode plan, then review the proposed plan before edits.
Turn off Claude Code Plan Mode, leave planning without approving, or approve a plan and switch into execution.
Spawn Claude Code subagents for parallel research, isolated reviews, custom agent files and safer agentic workflows.
