Better references beat better prompts
You still need to be crafty with the initial context. That is the part most people skip. Research papers, niche blog posts, specific documentation, reference implementations — feeding the right material into the context window before you start is the single highest-leverage thing you can do with AI coding tools.
Based on workflow patterns from building with Claude Code and Codex throughout 2025 and 2026.
The prompt matters less than what surrounds it
Most people spend an hour refining instructions when they should spend fifteen minutes finding the right reference. The best input is not a better prompt. It is a better reference. When the agent has a concrete example of what good looks like, it produces better output than any amount of instruction can achieve.
I built ascii.blode.co in a day because I started from a specific blog article about ASCII rendering. The article was the context. I built allmd specifically to turn any URL, PDF, video, or audio into markdown so it can be fed into an agent. Give the model a blog post about the exact technique you want to use and watch the quality jump.
Front-load the right material
I have a Raycast snippet called "zcc" that expands to my standard prompt: "Do extensive research. Make a plan with phases and todos. Use a swarm of subagents and teams." Even that prompt is about context gathering — telling the agent to research before it builds.
The best results I get are never from the first attempt. They are from the attempt where I front-loaded the right material.
Curate inputs, not instructions
I use Brian Lovin's /simplify skill at the end of every session. That is also a context move — giving the agent a framework for evaluating its own output.
The people who get the most out of these tools are not writing sophisticated prompts. They are curating the right inputs. The difference between mediocre AI output and great AI output is almost never the model. It is the fifteen minutes you did or did not spend gathering context before you hit enter.