AI Coding Agents vs. Coding Copilots: What Actually Separates Them
AI coding agents act on a goal—edit files, run tests, self-correct—while copilots only suggest code you approve. Here's how to pick the right mode per task.
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AI Agent Permissions and Approval Gates: How to Ship Safe Autonomy
Permissions limit what an AI agent can touch; approval gates force human sign-off on risky actions. Enforce both outside the model — with worked examples.
Prompt Injection Attacks on AI Agents: How They Work and What Actually Stops Them
How prompt injection hijacks an AI agent's tools, memory, and integrations into real actions — and the design controls that actually contain it.
AI Agent Computer Use Safety: How to Deploy One Without Getting Burned
Prompt injection is unsolved, so contain AI agents with isolation, least privilege, and human approval — the full deployment stack, explained.
Multi-Agent Systems vs. Single AI Agents: When to Use Each
Single AI agent or multi-agent system? A single agent is the cheaper, faster default. Here's exactly when multiple agents are worth 4–15× the tokens.
How AI Agent Memory Works: The External System Behind a Stateless Model
AI agent memory is external scaffolding around a stateless model. See how retrieval, vector databases, and prompt assembly simulate continuity.
How We Evaluate AI Claims
The reporting standard behind the site: separate documentation, evidence, and observed behavior from product marketing.
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Fundamentals
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Models
What models are, how they differ, and what their claims really mean.
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Training
How data, objectives, and fine-tuning shape a system's behavior.
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Running AI
The practical work of choosing, prompting, deploying, and measuring AI.
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Limits & Risk
Where systems fail, what that costs, and how to use them with care.
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