An agent’s safety net runs on two different mechanisms at once: what it has to ask you before doing, and what the operating system blocks outright even after you already approved something. Recovery sits underneath ...
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This is the fourth post in our series on the AI engineering toolkit. The first one moved you into the terminal, the second taught the agent your project’s conventions, and the third covered the context ...
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If you spent any time around AI tooling this year, you watched “harness” go from a word nobody used to one in every changelog, blog post, and conference slide. Anthropic’s own docs describe Claude Code ...
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Engineering is hard Let me start with a couple stories. A team picks up notification preferences, the kind of feature where users choose how they want to be contacted. Brief discussion, general agreement, shipped in ...
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This is the sixth post in our series on the AI engineering toolkit. The previous one cut off the edit tool until the agent had read enough to write down a plan. This one is ...
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The most capable AI model gets pulled because it turns dangerous once the guardrails come off. Any model gets jailbroken within days regardless. If that is where we are, have we hit a quiet ceiling ...
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This is the second post in a series on the AI engineering toolkit. The first one moved you into the terminal. This one teaches the agent about the project you work in, so you stop ...
Read more ⟶
This is the fifth post in a series on the AI engineering toolkit. The first one moved you into the terminal, the second taught the agent your conventions, the third covered the context window, and ...
Read more ⟶
This is the third post in a series on the AI engineering toolkit. The first one moved you into the terminal, and the second taught the agent your project’s conventions. Both of those write something ...
Read more ⟶
This is the first post in a series on the AI engineering toolkit. It runs from terminal-curious to fairly advanced and has no planned end. The early posts will be simple, maybe too simple if ...
Read more ⟶
An agent’s safety net runs on two different mechanisms at once: what it has to ask you before doing, and what the operating system blocks outright even after you already approved something. Recovery sits underneath ...
Read more ⟶
This is the fifth post in a series on the AI engineering toolkit. The first one moved you into the terminal, the second taught the agent your conventions, the third covered the context window, and ...
Read more ⟶
The most capable AI model gets pulled because it turns dangerous once the guardrails come off. Any model gets jailbroken within days regardless. If that is where we are, have we hit a quiet ceiling ...
Read more ⟶
If you spent any time around AI tooling this year, you watched “harness” go from a word nobody used to one in every changelog, blog post, and conference slide. Anthropic’s own docs describe Claude Code ...
Read more ⟶
This is the first post in a series on the AI engineering toolkit. It runs from terminal-curious to fairly advanced and has no planned end. The early posts will be simple, maybe too simple if ...
Read more ⟶
This is the sixth post in our series on the AI engineering toolkit. The previous one cut off the edit tool until the agent had read enough to write down a plan. This one is ...
Read more ⟶
This is the fourth post in our series on the AI engineering toolkit. The first one moved you into the terminal, the second taught the agent your project’s conventions, and the third covered the context ...
Read more ⟶
This is the third post in a series on the AI engineering toolkit. The first one moved you into the terminal, and the second taught the agent your project’s conventions. Both of those write something ...
Read more ⟶
This is the second post in a series on the AI engineering toolkit. The first one moved you into the terminal. This one teaches the agent about the project you work in, so you stop ...
Read more ⟶
Engineering is hard Let me start with a couple stories. A team picks up notification preferences, the kind of feature where users choose how they want to be contacted. Brief discussion, general agreement, shipped in ...
Read more ⟶
An agent’s safety net runs on two different mechanisms at once: what it has to ask you before doing, and what the operating system blocks outright even after you already approved something. Recovery sits underneath ...
Read more ⟶
This is the sixth post in our series on the AI engineering toolkit. The previous one cut off the edit tool until the agent had read enough to write down a plan. This one is ...
Read more ⟶
This is the fifth post in a series on the AI engineering toolkit. The first one moved you into the terminal, the second taught the agent your conventions, the third covered the context window, and ...
Read more ⟶
This is the fourth post in our series on the AI engineering toolkit. The first one moved you into the terminal, the second taught the agent your project’s conventions, and the third covered the context ...
Read more ⟶
The most capable AI model gets pulled because it turns dangerous once the guardrails come off. Any model gets jailbroken within days regardless. If that is where we are, have we hit a quiet ceiling ...
Read more ⟶
This is the third post in a series on the AI engineering toolkit. The first one moved you into the terminal, and the second taught the agent your project’s conventions. Both of those write something ...
Read more ⟶
If you spent any time around AI tooling this year, you watched “harness” go from a word nobody used to one in every changelog, blog post, and conference slide. Anthropic’s own docs describe Claude Code ...
Read more ⟶
This is the second post in a series on the AI engineering toolkit. The first one moved you into the terminal. This one teaches the agent about the project you work in, so you stop ...
Read more ⟶
This is the first post in a series on the AI engineering toolkit. It runs from terminal-curious to fairly advanced and has no planned end. The early posts will be simple, maybe too simple if ...
Read more ⟶
Engineering is hard Let me start with a couple stories. A team picks up notification preferences, the kind of feature where users choose how they want to be contacted. Brief discussion, general agreement, shipped in ...
Read more ⟶