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Prompt Engineering
✍️ Prompt Engineering
Specific
prompt design, system prompts, prompt patterns, LLM evaluation
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Stop Whispering to the Model, Start Furnishing Its Brain
🕸️
Knowledge Graphs
Content type:
Blog
dev.to
·
4h
4 hours ago
·
DEV
Actions for Stop Whispering to the Model, Start Furnishing Its Brain
Moai-Team-LLC/agentic-product-standard: The canonical standard for building production-grade agentic products — autonomy ladder, composition
patterns
, the 7-layer harness,
eval
discipline — plus a Claude Code skill set that operationalizes it.
🤖
AI Agents
Content type:
Code
github.com
·
4d
4 days ago
·
DEV
,
Hacker News
Actions for Moai-Team-LLC/agentic-product-standard: The canonical standard for building production-grade agentic products — autonomy ladder, composition patterns, the 7-layer harness, eval discipline — plus a Claude Code skill set that operationalizes it.
How I Built a Multi-Agent
Prompt
Engineering
Runbook with pydantic-ai and FastAPI
🔌
APIs
Content type:
Blog
dev.to
·
2d
2 days ago
·
DEV
Actions for How I Built a Multi-Agent Prompt Engineering Runbook with pydantic-ai and FastAPI
LangChain
's A2A Integration: Building Multi-Agent
Systems
in Python Without the Cloud Lock-In
🤖
AI Agents
Content type:
Blog
dev.to
·
1d
1 day ago
·
DEV
Actions for LangChain's A2A Integration: Building Multi-Agent Systems in Python Without the Cloud Lock-In
mightbesaad/gvnr: Budget & cost control for AI agents — hard per-agent spend caps, rate limits, idempotency, and human-in-the-loop approval, enforced before each
LLM
call (not after the invoice). One hosted MCP endpoint, no proxy or self-hosting. Settled via x402 (USDC on Base).
🤖
AI Agents
Content type:
Code
github.com
·
4d
4 days ago
·
DEV
Actions for mightbesaad/gvnr: Budget & cost control for AI agents — hard per-agent spend caps, rate limits, idempotency, and human-in-the-loop approval, enforced before each LLM call (not after the invoice). One hosted MCP endpoint, no proxy or self-hosting. Settled via x402 (USDC on Base).
TradeMemory An AI-Powered Persistence Layer for Disciplined Trading
🔍
RAG
Content type:
Blog
dev.to
·
46m
46 minutes ago
·
DEV
Actions for TradeMemory An AI-Powered Persistence Layer for Disciplined Trading
Hallucination
Detection Is Not a Model Problem—It's an Architecture Problem
🛡️
AI Safety
Content type:
Blog
dev.to
·
1d
1 day ago
·
DEV
Actions for Hallucination Detection Is Not a Model Problem—It's an Architecture Problem
Make Your AI Coding Agent Transparent - See What It Actually Sends to the Model
💻
AI Coding
Content type:
Blog
dev.to
·
14h
14 hours ago
·
DEV
Actions for Make Your AI Coding Agent Transparent - See What It Actually Sends to the Model
Unlocking the Power of RAG
Systems
with
LangChain
and Vector Databases
🔍
RAG
Content type:
Blog
dev.to
·
6d
6 days ago
·
DEV
Actions for Unlocking the Power of RAG Systems with LangChain and Vector Databases
LLM
integration with OpenRouter
🔌
APIs
Content type:
Blog
dev.to
·
2d
2 days ago
·
DEV
Actions for LLM integration with OpenRouter
Sh4r1ock/SoloEngine: Build Your One-Person Company with SoloEngine. Create your own OpenClaw, Cursor, Claude Code, or other Agentic AI that are exclusively yours—by simply dragging and dropping
🤖
AI Agents
Content type:
Code
github.com
·
6d
6 days ago
·
DEV
Actions for Sh4r1ock/SoloEngine: Build Your One-Person Company with SoloEngine. Create your own OpenClaw, Cursor, Claude Code, or other Agentic AI that are exclusively yours—by simply dragging and dropping
The
Eval
Gap: Your Agent Has Observability but No Idea If It's Any Good
🤖
AI Agents
Content type:
Blog
dev.to
·
1d
1 day ago
·
DEV
Actions for The Eval Gap: Your Agent Has Observability but No Idea If It's Any Good
LLM
integration with Vercel AI SDK
💻
AI Coding
Content type:
Blog
dev.to
·
2d
2 days ago
·
DEV
Actions for LLM integration with Vercel AI SDK
LongTracer: Open-Source RAG
Hallucination
Detection Without
LLM-as-a-Judge
🔍
RAG
Content type:
Blog
dev.to
·
6d
6 days ago
·
DEV
Actions for LongTracer: Open-Source RAG Hallucination Detection Without LLM-as-a-Judge
What is a ReAct-style agent?
🤖
AI Agents
Content type:
Blog
dev.to
·
1d
1 day ago
·
DEV
Actions for What is a ReAct-style agent?
AIchain Skill: A
Prompt
as a Reusable Object
🤖
AI Agents
Content type:
Code
github.com
·
6d
6 days ago
·
DEV
Actions for AIchain Skill: A Prompt as a Reusable Object
Agent Series (13): Agent Security and Defense —
Prompt
Injection, Tool Abuse, and Data Leakage
🤖
AI Agents
Content type:
Blog
dev.to
·
5d
5 days ago
·
DEV
Actions for Agent Series (13): Agent Security and Defense — Prompt Injection, Tool Abuse, and Data Leakage
ContextLens — py-spy/pprof but for what's inside your
LLM
prompt
🤖
AI Agents
Content type:
Blog
dev.to
·
2d
2 days ago
·
DEV
Actions for ContextLens — py-spy/pprof but for what's inside your LLM prompt
[Tutorial] Building a Secure
LangChain
Chatbot on Upsun 🤖
🔍
RAG
Content type:
Blog
dev.to
·
6d
6 days ago
·
DEV
Actions for [Tutorial] Building a Secure LangChain Chatbot on Upsun 🤖
Running a Local AI
Engineering
Agent with deepstrain: A Step-by-Step Tutorial
🏠
Local AI
Content type:
Blog
dev.to
·
2d
2 days ago
·
DEV
Actions for Running a Local AI Engineering Agent with deepstrain: A Step-by-Step Tutorial
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