01
Choose the right AI coding stack
Map Claude Code, Codex, Cursor, OpenCode, Antigravity, and CLI agents to the work they actually do best.
10x AI programming systems for developers
Build your10x AI coding workflow
AI Coding Tools helps developers turn AI agents, command-line workflows, reusable skills, OpenSpec, and review loops into a repeatable system for shipping software faster.
10x
Speed goal through systems
5+
AI coding tools covered
4
Core workflow layers
No hype guarantee: we focus on practical systems that make AI-assisted development faster and safer.
The 10x learning path
The site is organized around one promise: help developers build a faster, safer AI programming system.
02
Build reusable coding skills
Turn prompts, project rules, specs, review checklists, and debugging habits into repeatable workflows.
03
Run multi-window AI development
Use planner, implementer, reviewer, and tester windows without losing context or breaking your repo.
04
Verify everything before shipping
Use tests, diffs, screenshots, review prompts, and release checklists so speed does not become chaos.
Tools are only the starting point
Each tool section connects back to workflows, comparisons, setup notes, and repeatable engineering systems.
Claude Code
Terminal-first coding assistance for deep codebase reasoning, review, and implementation loops.
Codex
Agentic coding workflows for implementation, testing, review, and repository-scale changes.
Cursor
AI-native editor workflows for pair programming, rules, refactors, and rapid iteration.
OpenCode
Open terminal coding agent patterns for developers who prefer scriptable, composable tools.
Antigravity
Independent third-party guides for Google Antigravity as one covered AI coding tool.
Coding acceleration
Speed comes from systems, not from a single prompt. This section focuses on reusable skills, OpenSpec planning, multiple AI windows, context packs, and verification practices that make AI coding repeatable.
Learn the acceleration systemPractice
Skills engineering
Practice
OpenSpec workflows
Practice
Multi-window development
Practice
Context engineering
Practice
Agent orchestration
Practice
Review and verification loops
Command Line
Terminal agents, shell workflows, Git loops, automation, and CLI-first development patterns.
Workflow Playbooks
Practical patterns for debugging, refactoring, testing, code review, docs, migrations, and releases.
Comparisons
Neutral comparisons by workflow, not just feature checklists. Pick tools by the job they need to do.
Build a repeatable AI coding workflow
Move from tool discovery to daily practice: compare coding agents, learn command-line patterns, save reusable prompts and skills, then verify changes with tests, reviews, and release checklists.