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16, May 2026

The Agentic Blog

Build, Ship & Scale AI Agents

Author: Frank

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  • Artificial Intelligence

AI-Generated Code Security CI/CD Pipeline: 4 Layers

  • Frank
  • March 27, 2026
45% of AI-generated code contains security flaws, yet most CI/CD pipelines were never designed to catch them. This guide walks…
12 min read 0
  • Artificial Intelligence

SDLC to ADLC: Agentic Development Lifecycle Guide

  • Frank
  • March 27, 2026
Most engineering teams have adopted AI coding tools without the framework to govern them — leading to ungoverned autonomy, untested…
11 min read 0
  • Artificial Intelligence

Specification Engineering: Ship Production Code

  • Frank
  • March 26, 2026
66% of developers spend more time fixing "almost-right" AI-generated code than writing it themselves — and the bottleneck isn't the…
11 min read 0
  • Artificial Intelligence

Cut AI Coding Agent Costs by 80%: Tool-Specific Playbooks

  • Frank
  • March 26, 2026
Your AI coding bill isn't a model problem — it's a configuration problem. Cursor, Claude Code, and GitHub Copilot each…
12 min read 1
  • Artificial Intelligence

Context Engineering for AI Coding Agents: Rules That Work

  • Frank
  • March 26, 2026
Context engineering for AI coding agents is the missing layer in most AI development workflows. This guide breaks down the…
12 min read 0
  • Artificial Intelligence

AI Real-Time Object Detection and Tracking: 2026 Guide

  • Frank
  • March 26, 2026
AI real-time object detection and tracking is already powering autonomous vehicles, hospital diagnostics, and smart city infrastructure at scale. This…
10 min read 0
  • Artificial Intelligence

AI Safety Explained: Real Risks, Real Stakes, Right Now

  • Frank
  • March 26, 2026
Most people treat AI safety as a future concern — something for researchers and regulators to sort out later. But…
3 min read 0
  • Tutorials

Choosing the Right Vector Database in 2026: Pinecone vs. Weaviate vs. Qdrant vs. pgvector

  • Frank
  • March 25, 2026
Compare Pinecone, Weaviate, Qdrant, and pgvector across latency, hybrid search, pricing, and self-hosted vs. managed tradeoffs — with a clear…
5 min read 0
  • Tutorials

Semantic Search as the Brain of Your LLM App: Building a Production RAG Pipeline

  • Frank
  • March 25, 2026
Learn how to build a production RAG pipeline with smart chunking, bi-encoder embeddings, HNSW indexing, cross-encoder reranking, and real-time index…
6 min read 0
  • Tutorials

Build a Semantic Search Engine from Scratch: A Step-by-Step Python Guide

  • Frank
  • March 25, 2026
Build a production-ready semantic search engine in Python: chunking, embeddings, Qdrant indexing, BM25+dense hybrid retrieval, cross-encoder re-ranking, and FastAPI.

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