Tag
A post recommending the open-source resource repository claude-code-best-practice, which compiles Claude Code’s core concepts, advanced features, 10 workflows, cross-model collaboration approaches, and 83 practical tips—a useful guide to avoiding pitfalls when developing complex projects.
A practitioner's listicle outlining 15+ essential portfolio projects for aspiring Agentic AI Engineers, covering async orchestration, strict tool routing, memory eviction, self-healing ReAct loops, human-in-the-loop gates, trajectory evaluation CI, agent observability, prompt-injection defenses, sandboxed execution, and cost kill-switches.
介绍了「Kluever Maneuver」这一 bug 修复实践：先提交一个能通过的失败行为测试来复现 bug，再在第二个提交中修复代码并同时修正该测试，从而证明修复真正有效且每个提交都能通过 CI。
SVPino argues that deterministic tests should replace written instructions when working with AI agents: anything checkable automatically—formatting, types, API contracts, security—should be enforced by tests, linters, and static analysis rather than by prompting the agent with rules.
A Code Simplicity blog post arguing that any time a developer stops to think while coding, it signals an underlying problem—usually incomplete understanding—and explains how deeper comprehension of tools, symbols, and the problem itself is the real secret to fast, simple programming.
A practitioner shares lessons from a keynote Q&A on why Strands agents pick the wrong tools or call them in the wrong order, and writes up a practical guide with links and code snippets on how to fix tool selection and ordering issues.
Anthropic's Applied AI team发布指南，指出许多企业多智能体设计只是照搬组织架构图（康威定律），并建议先建立端到端评测、再逐个折叠子智能体，仅在折叠后性能下降时才保留子智能体。
Addy Osmani shares prompting and workflow tips for Claude Opus 5.5, arguing users are overprompting newer models and outlining how to leverage autonomous verification, subagents, cloud sessions, and Projects in Claude Code.
Anthropic has released a prompting guide for Claude Opus 5.5, featuring 11 best practices to help users get the most out of the model.
A blog post by matklad arguing that public functions should not call other public functions; instead, shared logic should be extracted into private helper functions to avoid interface degradation over time, with a noted exception for shortcut APIs.
Baoyu (@dotey) shares best practices for avoiding leftover git worktrees: add rules to AGENTS.md so that the AI Agent automatically cleans up its worktree and branch after completing a task (merge, create an archival tag, then delete), along with an example configuration from the BaoCut project. BaoCut is an AI video agent application built around an editable timeline.
Practitioner shares key lessons from Anthropic's Claude Code team on shipping with AI, emphasizing verifiable outputs, turning every mistake into a CLAUDE.md rule or check, and stepping back to rethink the approach after repeated fix failures.
The author explains the common mistakes when iterating backwards in C and presents the clean idiom `for(size_t i = count; i--; )`, which avoids signed-index and wrap-around pitfalls, especially as LLM-generated code repeats the buggy versions.
A tweet sharing best practices for AGENTS.md optimization and dead code cleanup, with ready-to-copy prompts. It covers use cases of cleaning up 800K+ lines of dead code with GPT-6 Astra + Codex, and optimizing CI duration with GPT-6.1 Sol.
LangChain 发布关于 Agent 评估（Agent Evals）的实用指南，建议从真实 trace 中选取 10–20 个失败案例构建小型评估集，结合代码检查与 LLM Judge 逐步完善评估流程。
The post advises against giving AI agents full write access to websites, recommending instead narrow single-purpose tools, a single source of truth, mandatory diffs before publishing, and separating form data from site hosting to avoid losing leads during rollbacks.
Matt Pocock lists common mistakes developers make when working with AI coding agents, including misaligned effort, overly long prompts, weak automated checks, poor codebase navigation, and insufficient agent autonomy.
作者分享了将 AI 代理的 MCP 访问权限从只读升级为可写(更新工单、编辑数据)后,安全与审计规则必须随之改变的实践经验:读写作用域分离、写操作前显示 dry-run diff、限制操作影响范围、记录审批与载荷、无撤销路径则保持人工在环。最令人意外的是,大多数事故并非模型犯蠢,而是作用域过宽和不可见的写操作。
A practitioner shares lessons learned from running an AI agent with its own email inbox — dedicated address, own domain for reputation, draft-only mode to guard against prompt injection, signed webhooks, and human-accessible inboxes — after Grok Bot shipped similar functionality.
Matt Pocock shares a quote from John Ousterhout's 'A Philosophy of Software Design' about 'tactical tornado' developers who code fast but leave messes for others to clean up, asking if it sounds familiar.