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enhance: Improve fullstack-developer agent (automated review)#475

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Mar 27, 2026
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enhance: Improve fullstack-developer agent (automated review)#475
davila7 merged 1 commit into
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claude/elastic-merkle

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@davila7 davila7 commented Mar 27, 2026

Automated Component Improvement

Changes

  • AI-native integration section (new): LLM APIs via Anthropic SDK / Vercel AI SDK, RAG pipelines with pgvector or Pinecone, streaming responses using useChat/useCompletion, multi-provider abstraction, prompt versioning, evaluation harnesses, and cost control guidelines.
  • Anchored technology versions: Opening paragraph now references Next.js 15+ / React 19, Node.js 22+ with Hono or tRPC, PostgreSQL with Drizzle ORM, and Vercel / Railway / Fly.io as concrete defaults.
  • Expanded monorepo tooling: Distinguishes Turborepo (build orchestration), pnpm workspaces (package sharing), and Nx (large-scale repos with fine-grained caching).
  • Edge computing and server component patterns section (new): Rendering strategy decision framework — RSC as default, per-route SSR/ISR/static/edge decisions, edge runtime constraints, and streaming SSR with Suspense boundaries.
  • 4th description example (new): AI-powered semantic search with embeddings, pgvector, streaming API route, and retrieval evaluation harness to ensure the agent is correctly invoked for AI feature work.
  • Restructured system prompt: Consolidated 8 flat bullet-list sections and 2 JSON protocol blocks into 4 focused named sections (Focus Areas, Approach, Edge Computing and Server Component Patterns, AI-Native Integration) plus a 3-phase Implementation Workflow with concrete checklists. Removed the JSON progress-tracking blocks that added noise without value.

Research Summary

The original agent lacked coverage of the modern TypeScript-first fullstack ecosystem (Next.js App Router, Drizzle ORM, tRPC, edge functions) and had no guidance for AI-powered feature development — an increasingly common fullstack concern. The flat bullet-list structure with JSON communication blocks was verbose without being actionable. The research identified these as the highest-impact gaps given current developer workflows.

Validation

  • component-reviewer: PASSED
    • Valid YAML frontmatter with all required fields (name, description, tools)
    • name: fullstack-developer matches filename in kebab-case
    • Description is specific with 4 concrete examples including <commentary> tags
    • No hardcoded secrets or API keys
    • No absolute paths
    • File correctly placed in cli-tool/components/agents/development-team/
    • No non-standard frontmatter fields added

Automated review cycle by Component Improvement Loop


Summary by cubic

Enhances the fullstack-developer component with modern stack guidance, edge/server component patterns, and AI-native integration to make its output more actionable. This aligns it with Next.js App Router projects and end‑to‑end feature work.

  • Adds AI integration guidance: Anthropic SDK/Vercel AI SDK, RAG with pgvector/Pinecone, streaming via useChat/useCompletion, prompt versioning, and eval harnesses.
  • Introduces edge and server component patterns with a per‑route decision framework (RSC default; SSR/ISR/static/edge) and streaming SSR with Suspense; includes a new semantic search example.
  • Anchors tech stack and tooling: Next.js 15+/React 19, Node.js 22+, PostgreSQL + Drizzle ORM, deploy to Vercel/Railway/Fly.io, and monorepo notes for Turborepo/pnpm/Nx; restructures content into focused sections and a 3‑phase workflow, removing noisy JSON blocks.
  • Area: components (cli-tool/components/). No new components; catalog (docs/components.json) regeneration not required. No new environment variables or secrets.

Written for commit 529499e. Summary will update on new commits.

- Add AI-native integration section covering LLM APIs, RAG pipelines, streaming responses, multi-provider abstraction, prompt versioning, and eval harnesses
- Anchor technology stack to specific versions: Next.js 15+/React 19, Node.js 22+/Hono/tRPC, PostgreSQL/Drizzle ORM, Vercel/Railway/Fly.io
- Expand monorepo tooling bullet with Turborepo vs Nx vs pnpm workspaces trade-offs
- Add edge computing and server component patterns section with per-route rendering decision framework (RSC/SSR/ISR/static/edge)
- Add 4th description example for AI-powered semantic search feature development
- Restructure from 8 flat bullet-list sections into focused action-oriented sections (Focus Areas, Approach, Edge Computing, AI-Native Integration, Implementation Workflow)
- Remove redundant JSON communication protocol blocks
- Tighten Implementation Workflow to 3 concise phases with concrete checklists

Automated review cycle | Co-Authored-By: Claude Code <noreply@anthropic.com>
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vercel Bot commented Mar 27, 2026

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⚠️ Security Audit Report

Status: ❌ FAILED

Metric Count
Total Components 755
✅ Passed 360
❌ Failed 395
⚠️ Warnings 999

❌ Failed Components (Top 5)

Component Errors Warnings Score
vercel-edge-function 3 4 81/100
prompt-engineer 2 0 90/100
neon-expert 2 2 88/100
agent-overview 2 1 89/100
unused-code-cleaner 2 1 89/100

...and 390 more failed component(s)


📊 View Full Report for detailed error messages and all components

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1 issue found across 1 file

Prompt for AI agents (unresolved issues)

Check if these issues are valid — if so, understand the root cause of each and fix them. If appropriate, use sub-agents to investigate and fix each issue separately.


<file name="cli-tool/components/agents/development-team/fullstack-developer.md">

<violation number="1" location="cli-tool/components/agents/development-team/fullstack-developer.md:3">
P1: Custom agent: **Component Reviewer**

Agent frontmatter is missing the required `model` field.</violation>
</file>

Reply with feedback, questions, or to request a fix. Tag @cubic-dev-ai to re-run a review.

@@ -1,234 +1,98 @@
---
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P1: Custom agent: Component Reviewer

Agent frontmatter is missing the required model field.

Prompt for AI agents
Check if this issue is valid — if so, understand the root cause and fix it. At cli-tool/components/agents/development-team/fullstack-developer.md, line 3:

<comment>Agent frontmatter is missing the required `model` field.</comment>

<file context>
@@ -1,234 +1,98 @@
 ---
 name: fullstack-developer
-description: "Use this agent when you need to build complete features spanning database, API, and frontend layers together as a cohesive unit. Specifically:\\n\\n<example>\\nContext: User wants to build a new user authentication system for a web application that requires database schema, API endpoints, and frontend forms.\\nuser: \"Build a complete user registration feature with PostgreSQL schema, Node.js API endpoints, and React forms including validation and error handling.\"\\nassistant: \"I'll implement this as a full-stack feature. Let me start by analyzing the existing database schema, then design the API contracts, and finally build the React components with proper integration and testing across all layers.\"\\n<commentary>\\nThis is a core fullstack-developer use case: new feature that touches all stack layers requires coordinated development from database to UI. The agent needs context on existing patterns and must ensure type-safety and consistency across all three layers.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: Existing backend API needs frontend implementation along with database optimization to support a new real-time dashboard.\\nuser: \"We have the API endpoints ready, but need to build the React dashboard UI and optimize the database queries for real-time data streaming.\"\\nassistant: \"I'll examine your API structure and database schema, then build the React components with WebSocket integration for real-time updates, and optimize the queries for performance. This ensures the frontend, API, and database work together seamlessly.\"\\n<commentary>\\nWhen an incomplete feature chain exists (missing frontend or backend) and requires end-to-end integration testing, use the fullstack developer to coordinate across all layers and ensure optimal data flow, caching, and performance.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: Refactoring payment processing system to change from polling to event-driven architecture across all layers.\\nuser: \"Refactor our payment system from polling the database to an event-driven model using WebSockets and message queues, affecting database design, API middleware, and frontend state management.\"\\nassistant: \"I'll redesign the database schema for event sourcing, implement the API event handlers and WebSocket server, rebuild the frontend state management for real-time updates, and ensure proper error recovery across the entire flow.\"\\n<commentary>\\nUse the fullstack developer for complex architectural changes that require synchronized updates across database design, API patterns, and frontend state management. The agent's cross-layer perspective prevents silos and ensures consistent implementation.\\n</commentary>\\n</example>"
+description: "Use this agent when you need to build complete features spanning database, API, and frontend layers together as a cohesive unit. Specifically:\\n\\n<example>\\nContext: User wants to build a new user authentication system for a web application that requires database schema, API endpoints, and frontend forms.\\nuser: \"Build a complete user registration feature with PostgreSQL schema, Node.js API endpoints, and React forms including validation and error handling.\"\\nassistant: \"I'll implement this as a full-stack feature. Let me start by analyzing the existing database schema, then design the API contracts, and finally build the React components with proper integration and testing across all layers.\"\\n<commentary>\\nThis is a core fullstack-developer use case: new feature that touches all stack layers requires coordinated development from database to UI. The agent needs context on existing patterns and must ensure type-safety and consistency across all three layers.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: Existing backend API needs frontend implementation along with database optimization to support a new real-time dashboard.\\nuser: \"We have the API endpoints ready, but need to build the React dashboard UI and optimize the database queries for real-time data streaming.\"\\nassistant: \"I'll examine your API structure and database schema, then build the React components with WebSocket integration for real-time updates, and optimize the queries for performance. This ensures the frontend, API, and database work together seamlessly.\"\\n<commentary>\\nWhen an incomplete feature chain exists (missing frontend or backend) and requires end-to-end integration testing, use the fullstack developer to coordinate across all layers and ensure optimal data flow, caching, and performance.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: Refactoring payment processing system to change from polling to event-driven architecture across all layers.\\nuser: \"Refactor our payment system from polling the database to an event-driven model using WebSockets and message queues, affecting database design, API middleware, and frontend state management.\"\\nassistant: \"I'll redesign the database schema for event sourcing, implement the API event handlers and WebSocket server, rebuild the frontend state management for real-time updates, and ensure proper error recovery across the entire flow.\"\\n<commentary>\\nUse the fullstack developer for complex architectural changes that require synchronized updates across database design, API patterns, and frontend state management. The agent's cross-layer perspective prevents silos and ensures consistent implementation.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: User wants to add a semantic search feature powered by AI to an existing product catalog.\\nuser: \"Add AI-powered semantic search to our product catalog using embeddings and a vector database.\"\\nassistant: \"I'll design the full pipeline: generate and store embeddings in pgvector via a background job, expose a /search API route using the Anthropic SDK for query embedding, stream results to the React frontend with useChat, and add an evaluation harness to measure retrieval quality.\"\\n<commentary>\\nAI feature work spanning embedding ingestion, RAG pipeline, streaming API, and frontend integration requires coordinated fullstack development. The agent ensures data flow, latency, and prompt versioning are handled coherently across all layers.\\n</commentary>\\n</example>"
 tools: Read, Write, Edit, Bash, Glob, Grep
 ---
</file context>
Fix with Cubic

@davila7 davila7 merged commit f864744 into main Mar 27, 2026
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