10 Tips To Level Up Your AI-Assisted Coding
summary
Claim: recent models cross a usability threshold — Opus 4.5 marks a before/after where agents go from useless to writing production features, with anecdotes of someone shifting from 80% self-code to AI-written work and a case of Claude writing all code for 30 days. Concrete tactics: always give targeted docs and acceptance criteria, use sub agents to get separate 200,000‑token context windows, create reusable code simplifier agent, use plan mode/skills/slash commands, prefer GitHub CLI over MCPs to avoid context bloat, cap costs with $100–$200 max plans, and keep human review.
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chapters (33)
- 0:00AI-assisted coding journey
- 1:14Why developers resist AI tools
- 3:23AI coding evolution since Opus 4.5
- 7:47Mindset shift to co-worker
- 10:17Pair programming with AI
- 12:24What is compound engineering
- 15:5910 tips overview and first principle
- 16:22Context is king
- 21:23Managing context windows
- 22:48Sub-agents and parallel processing
- 23:10Feeding AI documentation
- 25:15Skills for specific workflows
- 27:22Start with plan in plan mode
- 29:51Human expertise and feedback
- 31:57Acceptance criteria and long agents
- 33:45Breaking tasks into components
- 35:09MCP servers and context bloat
- 38:00Updating plans and clearing context
- 38:22Choosing the right AI model
- 40:07Tool-specific features
- 41:11Slash commands
- 44:31Code simplifier agent
- 45:35Sub-agents for parallel tasks
- 48:04Hooks and guardrails
- 50:58Skills marketplace
- 53:50Git workflows and agent mistakes
- 54:55Reflecting on AI mistakes
- 55:57MCP security and database access
- 57:01Tool search for context
- 57:23Browser MCPs for debugging
- 58:26Running multiple agents
- 1:00:11Background agents and remote tasks
- 1:01:34Human in the loop
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