#agentic-ai
15 posts tagged with #agentic-ai
Every article below is hand-written, technically reviewed, and focused on agentic-ai. Posts cover real-world architecture decisions, code-level implementation patterns, and trade-offs you'll only discover after shipping production systems.
AI and Machine Learning 9 Picks for the Best Local Model for Agentic Coding [2026]
A practical decision tree for agentic coding: pick local models by repo size and VRAM tier (16GB/24GB/48GB+/CPU), with context, tool-calling reliability, and quantization rules that actually hold up.
Developer Tools AI-Readable Documentation: 8 Templates That Agents Actually Use [2026]
Docs aren’t dead. They’re becoming routing logic and evidence. Here’s how to write documentation that AI tools can use without shipping “slop describing slop.”
Cybersecurity AI Agent Threat Model: 7 Attack Vectors [2026]
Prompt injection is just vector #1. Here's the full AI agent attack surface map — tool poisoning, memory injection, orchestrator hijack, Denial of Wallet, and more — with a sprint-ready threat matrix.
Cybersecurity AI Agent Security Attack Surface Map [2026 Checklist]
The first developer-friendly attack surface map combining OWASP's Top 10 for Agentic Applications, Cisco's MemoryTrap disclosure, and June 2026 red-teaming benchmarks showing 70% attack success rates — with a printable security checklist.
Cybersecurity Indirect Prompt Injection in AI Agents: 10-Step Red-Team Checklist [2026]
Every major AI coding agent shipped with exploitable indirect prompt injection vulnerabilities in 2025. Here's the red-team checklist to find them in your own pipeline before attackers do.
![Loop Engineering: Stop Prompting, Start Building Agent Loops [2026]](https://img.kunalganglani.com/images/vzekdneq/production/8fbfb7d4c1d775144723ea9f356b1c8d842cca2a-1200x675.webp?auto=format&fit=max&q=75&w=600)
AI and Machine Learning Loop Engineering: Stop Prompting, Start Building Agent Loops [2026]
95% of developers use Claude Code like a chatbot. Loop engineering — skills, subagents, hooks, and CLAUDE.md workflows — turns it into an autonomous coding system that iterates until tests pass.
Developer Tools Vibe Coding Best Practices in 2026: 7 Techniques That Work (and 3 That Create Tech Debt)
Vibe coding's creator says it's already passé. Here are the techniques that actually survive the shift to agentic engineering — and the ones silently destroying your codebase.
![Context Engineering for AI Agents: 4 Pillars That Replace Prompt Engineering [2026]](https://img.kunalganglani.com/images/vzekdneq/production/47a44f2d48b832b9e464a06f3b5ef90e0e75e404-1200x675.webp?auto=format&fit=max&q=75&w=600)
AI and Machine Learning Context Engineering for AI Agents: 4 Pillars That Replace Prompt Engineering [2026]
Context engineering — the systematic management of what an AI agent knows, remembers, and can access at each step — is the discipline replacing ad-hoc prompt engineering in 2026. Here are the four pillars that make or break production agents.
![NotebookLM Agentic AI Upgrade: What It Does [2026]](https://img.kunalganglani.com/images/vzekdneq/production/cba87920f2c5c27b79d3ca9b9e35374f0e10b72d-1200x675.webp?auto=format&fit=max&q=75&w=600)
AI and Machine Learning NotebookLM Agentic AI Upgrade: What It Does [2026]
Google's NotebookLM evolved from a document Q&A tool into a multi-modal agentic platform — here's what the coding agent actually does and whether it can replace dedicated tools like Claude Code.
![Generative AI vs Agentic AI vs AI Agents [2026 Compared]](https://img.kunalganglani.com/images/vzekdneq/production/63df1a29144d654964f01534f321758ae96835a7-1200x675.webp?auto=format&fit=max&q=75&w=600)
AI and Machine Learning Generative AI vs Agentic AI vs AI Agents [2026 Compared]
Everyone's told to 'go agentic' in 2026, but nobody agrees on what that means. Here's the concrete architectural breakdown — with a production decision framework.
AI and Machine Learning Google Antigravity 2.0: Agent-First Platform [2026 Guide]
Google Antigravity is the new orchestration layer for multi-agent workflows on Google Cloud. Here's what it actually does, how it differs from ADK, and where developers should start.
AI and Machine Learning DSPy vs LangChain 2026: Which LLM Framework Actually Wins?
DSPy wins for teams who want the model to optimize its own prompts automatically; LangChain wins for teams who need fast, flexible prototyping with a massive ecosystem. The right choice depends entirely on whether you're tuning for performance or building for breadth.
Technology 7 Types of AI Agents [2026]: A Developer Taxonomy
A practical, developer-first guide to the 7 types of AI agents, how they map to modern LLM patterns (ReAct, MCP, multi-agent), and when a workflow beats an agent.
Technology Prompt Injection in 2026: Still OWASP's Number One LLM Vulnerability
Prompt injection has held the #1 spot on OWASP's LLM Top 10 across every edition. Here's why it's unsolvable, how agentic AI made it worse, and what developers actually need to do about it.
Technology Agentic AI in Software Engineering [2026]
SWE-bench scores jumped from 14% to 65% in 16 months. Here's what agentic AI actually delivers in production, where it fails, and the new skills engineers need to thrive as agent orchestrators.