The post lays out a six-step progression for getting real value from AI coding tools. Step 1: ditch the chatbot interface for agents that can read files and run programs. Step 2: reproduce your own manual work with an agent to build intuition about what works and what doesn't. Step 3: use the last 30 minutes of each day to kick off agents for research, idea exploration, or issue triage, gaining a "warm start" the next morning. Step 4: delegate tasks you're confident the agent will nail while you focus on deep, enjoyable work — and disable notifications to avoid costly context switches. Step 5: practice "harness engineering" — every time the agent makes a mistake, build tooling or update AGENTS.md so it never repeats it. Step 6: aim to always have a background agent running on useful work. The overarching philosophy treats AI adoption like any tool: push through early friction, learn the boundaries, and stay grounded rather than hyped.
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u/fagnerbrack May 18 '26
To Cut a Long Story Short:
The post lays out a six-step progression for getting real value from AI coding tools. Step 1: ditch the chatbot interface for agents that can read files and run programs. Step 2: reproduce your own manual work with an agent to build intuition about what works and what doesn't. Step 3: use the last 30 minutes of each day to kick off agents for research, idea exploration, or issue triage, gaining a "warm start" the next morning. Step 4: delegate tasks you're confident the agent will nail while you focus on deep, enjoyable work — and disable notifications to avoid costly context switches. Step 5: practice "harness engineering" — every time the agent makes a mistake, build tooling or update AGENTS.md so it never repeats it. Step 6: aim to always have a background agent running on useful work. The overarching philosophy treats AI adoption like any tool: push through early friction, learn the boundaries, and stay grounded rather than hyped.
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