Prompt Injection Is the New SQL Injection: A Practical Developer's Guide to Securing AI Agents
Originally published on tamiz.pro . The Rise of the LLM: Why Prompt Injection Is the New SQL Injection For decades, the cardinal rule of database pr…
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Prompt Injection Is the New SQL Injection: Building Resilient AI‑Powered Applications
Originally published on tamiz.pro . The rapid adoption of Large Language Models (LLMs) has introduced a new class of vulnerabilities that directly m…
Multi-Agent Orchestration in Laravel: Coordinating Specialists Instead of One Giant Prompt
The first version of most AI features is not a system. It is one giant prompt doing too many jobs. It is supposed to understand the user, check acco…
Why Better Prompts Won't Save Your Broken AI Agent
The tenth prompt tweak usually feels like progress. The eleventh reveals the problem: the fix that stopped the agent from inventing refund policies…
From Prompt Engineering to Context Engineering: The Skill AI Developers Actually Need
The most dangerous failure in an LLM application is not a bad prompt. It is a perfect prompt wrapped around the wrong context. You can spend hours t…
Why Most AI Agents Fail Long Before the Model Does
The agent did not fail because the model was stupid. It failed because a CRM tool returned a 502, the agent retried, created two support tickets, re…
Engineering AI in 2026: From Prompt Chasing to Observable, Local-First Agents and Blast-Radius Reviews
Originally published on tamiz.pro . We are past the era of prompt engineering as a mystical art form. In 2024, the best developers were prompt chase…
The Seedance 2.5 Prompting Guide, in English
Cross-posted from apimodels.app — the canonical version lives there and is kept up to date. If you have only ever prompted image models, video model…
JSON or XML Tags for LLM Output: The Format That Holds Under Pressure
Book: Prompt Engineering Pocket Guide: Techniques for Getting the Most from LLMs Also by me: Thinking in Go (2-book series) — Complete Guide to Go P…
Multi-Shot vs Zero-Shot: When Adding Examples Actually Hurts Accuracy
Book: Prompt Engineering Pocket Guide: Techniques for Getting the Most from LLMs Also by me: Thinking in Go (2-book series) — Complete Guide to Go P…