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20 results for “code” (members search the full text)

• PromptStarterAny assistantExplain This Code to MeA summary first gives you the big picture before the details.
• Q&AStarterAny assistantWhy is the code my AI wrote not working?AI code often fails because of missing context, outdated library versions, small logic errors or assumptions about your setup.
• AgentBuilderAny assistantCareful Code ReviewerReviews a code change for bugs, security issues and clarity, reporting only findings it can justify, with severity and a suggested fix.
• PromptBuilderAny assistantPre-Merge Code ReviewA defined checklist and table make the review consistent and scannable.
• PromptBuilderAny assistantDebug an Error Step by StepIt supplies the same facts a human helper would ask for.
• PromptBuilderClaudeRefactor for Readability Without Changing BehaviorThe behavior-preservation constraint prevents hidden rewrites.
• Q&AStarterAny assistantCan AI analyze my Excel or CSV data and can I trust the results?Often yes, especially with assistants that can run code on uploaded files, but you should verify the results.
• Q&AStarterAny assistantHow do I give an AI agent tools like search or file access?You give an agent tools by describing functions to the model and writing the code that runs them when the model asks.
• Q&AStarterAny assistantHow do I make an AI agent?To make an AI agent, give a model a goal and a few tools, then run a loop where the model picks an action, your code runs it, and the result goes back to the model until it finishes.
• Q&AStarterAny assistantHow do I stop an AI agent from looping forever?Stop loops with hard limits in your code, not just instructions in the prompt.
• Q&AStarterAny assistantWhat is an AI agent and how is it different from a chatbot?An AI agent is a system that pursues a goal over several steps, deciding which actions to take, such as searching, reading files or running code.
• GuideBuilderAny assistantGetting Reliable JSON and Structured Output from AITechniques for making a model return clean JSON every time, from prompt wording and schemas to validation and retry loops in your code.
• PromptBuilderAny assistantGenerate Unit Tests for a FunctionNaming the categories of cases pushes beyond happy-path tests.
• GuideBuilderAny assistantBuilding Your First AI Agent, Step by StepUnderstand what an agent is, then build a simple one: a goal, a loop, a few tools and clear stopping rules, with a framework-free Python sketch.
• GuideProAny assistantGiving Agents Tools Safely: Permissions, Limits and ApprovalsHow to design agent tools with least privilege, spending caps, confirmation steps and audit logs so a mistake stays small and reversible.
• GuideStarterClaudeGetting Started with Claude: A Beginner's WalkthroughHow to start using Claude from Anthropic, what its main features are for, and a few first tasks to try, with tips for getting the best answers.
• PromptProAny assistantAdd a Self-Check Step to an AgentA separate review pass catches errors the first pass missed.
• PromptBuilderAny assistantAgent Task PlannerIt separates judgment from fixed steps, which keeps agents cheap and predictable.
• PromptBuilderAny assistantExtract Fields to JSONNaming allowed values and the null rule removes the usual ambiguities.
• PromptProAny assistantWrite Clear Tool Descriptions for an AgentModels choose tools mostly from their descriptions, so clear "when to use and when not to" text improves decisions.