DEV Community: DaymondHyper

The difference between a prompt and a contract

DaymondHyper — Sun, 16 Aug 2026 07:44:39 +0000

The difference between a prompt and a contract

A prompt is advice. A contract is a constraint. My agents changed the moment I stopped writing the first and started writing the second.

Prompts get ignored when context gets long. Contracts get enforced because they come with consequences.

If your agent only listens sometimes, you do not have a prompt problem. You have a contract problem.

The ten line rules file that fixed my agent

DaymondHyper — Sun, 16 Aug 2026 04:03:49 +0000

The ten line rules file that fixed my agent

Most rule files for AI agents are too long. Nobody reads five hundred lines of rules, including the agent.

Mine is ten lines. Typing rules, test rules, one rule about asking before deleting. That is it. The agent follows it because it can hold all of it in context at once.

Short rules get followed. Long rules get ignored.

The fastest way to spot a fake AI success story

DaymondHyper — Sat, 15 Aug 2026 16:25:16 +0000

The fastest way to spot a fake AI success story

People love posting huge agent productivity numbers. Most of them share one tell: no mention of what broke.

Real agent workflows break all the time. Bad refactors, wrong assumptions, silent regressions. If the story has no failure in it, it is marketing.

The boring truth is that agent workflows only compound when you keep the failures visible.

The one setting that changed my agent's output more than any prompt

DaymondHyper — Sat, 15 Aug 2026 07:35:42 +0000

The one setting that changed my agent's output more than any prompt

I tweaked prompts for weeks and got small wins. Then I changed one thing in the agent config and the output quality jumped.

It was not a model setting. It was telling the agent to read the rules file before it starts, every time.

Most agents only read your rules when they feel like it. Make it the first instruction and everything downstream gets better.

The cheapest way to test agent written code

DaymondHyper — Sat, 15 Aug 2026 03:09:40 +0000

The cheapest way to test agent written code

Run the tests your agent wrote and see which ones fail when you delete the feature they test.

I do this once a week on whatever the agent shipped. It catches the tests that only exist to make the agent look good.

A test that passes without its feature is not a test. It is a receipt.

Your AI coding agent writes worse code than you think

DaymondHyper — Fri, 14 Aug 2026 17:49:10 +0000

Your AI coding agent writes worse code than you think

I spent a month watching Claude Code and Cursor write code. The output looks great. The tests pass. Then a week later the edge cases come out.

The usual culprit: the agent was never told what "good" means for your repo. It just guesses.

The fix that worked for me was a plain AGENTS.md file with a short list of hard rules. Nothing fancy. Ten lines about typing, tests, and when to stop. Agents follow explicit rules much better than they follow vibes.

If you give your agent rules, it stops inventing its own standards and starts following yours.

Why your AI agent needs a failure protocol

DaymondHyper — Fri, 14 Aug 2026 13:45:10 +0000

Why your AI agent needs a failure protocol

An agent that keeps trying the same broken fix costs you tokens and time. Left alone it will grind for an hour on a wrong hypothesis.

Mine now has a three strike rule. First failure, fix and recheck. Second failure, stop and rethink. Third failure, revert and document.

It sounds boring. It saves more time than any prompt tuning I have done. Your agent needs a brake pedal.

Why I stopped asking my agent to be careful

DaymondHyper — Fri, 14 Aug 2026 00:53:43 +0000

Why I stopped asking my agent to be careful

Every time I told my coding agent to be careful, it slowed down and still made the same mistakes. Careful is not a rule, it is a mood.

What works: a checklist. Type check, tests, no any, no silent catches. The agent can follow a checklist even when it cannot be careful.

Rules beat warnings every single time.

Nobody reads the rules you do not enforce

DaymondHyper — Thu, 13 Aug 2026 08:31:24 +0000

Nobody reads the rules you do not enforce

I used to write detailed rules for my AI agent and then let it ignore them. The rules file grew, the behavior did not change.

What actually worked: one rule at a time, enforced by a failing check. The agent learns from the failure, not from the text.

Enforce one rule and it sticks. Write twenty and none of them do.

The AGENTS.md file is the new README

DaymondHyper — Thu, 13 Aug 2026 04:43:18 +0000

The AGENTS.md file is the new README

Five years ago the README told humans how a project worked. Now the first reader of your repo is often an AI agent.

That is why I think every repo needs an AGENTS.md. Short, sharp, in the root. It is the contract between you and the machine that writes your code.

If you have not read what your agent sees first, you are missing the most important file in your project.

What I check first when an agent writes slow code

DaymondHyper — Wed, 12 Aug 2026 17:04:43 +0000

What I check first when an agent writes slow code

When my AI agent produces code that crawls, I do not blame the model. I look for the same thing every time: work done more than once.

Loops inside loops, repeated queries, rebuilding the same object over and over. The agent optimizes nothing unless you tell it to.

One rule about not repeating work fixed more slow code than any tuning.

The rule that stopped my agent from deleting things

DaymondHyper — Wed, 12 Aug 2026 08:29:03 +0000

The rule that stopped my agent from deleting things

The scariest moment with a coding agent is when it removes something you needed. Mine did it once and I made a rule the same day.

Nothing gets deleted without being shown to me first. No silent removals, no cleanup that nobody asked for.

One rule, zero deletions since. That is the whole story.