This agent helps Python teams using the Anthropic or OpenAI SDK safely cut LLM spend without risking regressions. With zero code changes, it maps call sites and runs your test scenarios to rank token waste from missed prompt caching or heavy model tiers. It tests fixes in isolated git worktrees, enforcing a strict "do-no-harm" gate that reverts any patch failing to preserve behavior. It delivers a clear savings audit that converts into verified, behavior-preserving code patches upon opt-in.
Built around the parts of API integration everyone skips until 3am: token refresh, pagination to the last page, 429 rate-limit handling, retries with backoff + jitter, idempotency keys so a retry doesn't double-charge, timeouts, and typed error handling. It reads the API's own docs, matches your stack, keeps keys in env, and produces a client that survives the network blinking — not a naive fetch that falls over the first time the API throttles you.
需求看起来写完了，却常常开发到一半才发现规则没讲清楚、边界条件没定义、QA 无法验收？ Agile ScopeGuard Pro 从 PM、Engineering 与 QA 的角度协助你拆解需求，补齐 Functional Specification、User Story、Acceptance Criteria、QA Test Cases、API、Workflow、风险与实施检查项。 帮助你在进入开发前，把范围、规则与验收方式说清楚，减少返工与理解落差。
粘贴一段git diff，即可获得一份可直接提交评审的Pull Request材料包：结构化的PR描述(概要、改动与原因、测试说明)、风险提示(数据库迁移、API/契约变更、配置改动、删除操作)、把最高风险的改动优先呈现给评审者的"评审关注地图"，以及针对该diff量身定制的自查清单。专为使用Claude Code、Codex等编码智能体开发并提交PR的开发者打造。仅根据你粘贴的diff生成内容，无法判断的地方标注[FILL IN]。无需API密钥，不访问仓库，不涉及个人数据。
Vibe Code Reviewer — Reviews AI-generated code for the mistakes that sink vibe-coded apps: exposed API keys, missing auth, SQL injection, client-trusted payments. Built for non-engineers — plain-language findings, severity ratings, copy-paste fixes. Catches the security holes behind the "45% of AI code is vulnerable" stat before you ship.
You shipped AI features — then the bill arrives, and every free user who never converts eats your Anthropic budget 24/7. This is the complete, production-tested Supabase + Claude backend that stops that: API key hidden from every iPhone, JWT-verified Edge Functions, 3-layer rate limiting, free-tier caps + cheap-model routing, caching (40–60% off), cost alerts — plus full Swift integration and a debug playbook. Built from a live ¥480/month app. Pairs with StoreKit 2 & Rejection Buster.
要件が曖昧なまま開発に渡していませんか？ Requirement Ready AI は、目的、機能範囲、業務ルール、入力チェック、権限、UI、API、例外、エッジケースを確認し、User Story、Acceptance Criteria、QA Test Cases、リスクまで整理します。 開発開始前に「本当に Ready か」を確認するための要件レビュー支援ツールです。
Turn customer reviews, testimonials, comments, and survey feedback into evidence-based sales assets. ReviewFuel AI extracts customer themes, purchase triggers, objections, and recurring language, then creates ad hooks, product-page copy, three ad variants, FAQs, and a Claim Safety Check without inventing product facts.
Backend integration engineering: typed clients with the production resilience layer—retry/backoff, idempotency, rate-limiting, webhook signature verification, mock server and offline tests—that SDK generators skip.