Blog
Latest articles
8 min readPrompting for Code Review: Getting Useful Feedback, Not Compliments
How to write prompts that produce actionable code review - specifying focus areas, severity tiers, concrete fix examples, adversarial review framing, and the difference between diff review and full-file review.
9 min readPrompting for Translation: Context-Aware Output That DeepL Cannot Match
Where LLMs outperform traditional MT tools on translation tasks - tone, idioms, domain context - and where they fall short, plus practical techniques including style guides, glossaries, audience specs, and back-translation QA.
9 min readPrompt Testing Methodology: A Systematic Approach for Teams
How to test prompts systematically - defining test sets and success criteria, building golden datasets for regression testing, A/B testing in production, statistical significance, and the minimum viable setup for small teams.
10 min readContext Stuffing vs RAG: When to Put Everything in Context
A practical decision framework for choosing between context stuffing and retrieval-augmented generation - covering token economics, chunking strategy, hybrid approaches, and a cost comparison between stuffing 500 pages versus retrieving 5 chunks.
9 min readSystem Prompt Security: Protecting Against Extraction and Injection Attacks
A practical guide to system prompt security - understanding extraction and injection attacks, defense layers that actually work, and the fundamental truth that system prompts cannot be cryptographically secured.
9 min readPrompting for Agents: System Prompts That Actually Control Agent Behavior
How agent system prompts differ from chatbot prompts - tool descriptions, invocation criteria, output format for tool calls, stopping conditions, safety constraints, ReAct format, handling uncertainty, and common failure modes.
9 min readFew-Shot Example Selection: How to Choose Examples That Actually Help
The science of choosing few-shot examples - diversity, representativeness, ambiguity, relevance, dynamic selection, negative examples, ordering effects, and the empirical 3-5 example sweet spot from Brown et al. 2020.
9 min readPrompting Misconceptions: What Does Not Work Despite the Hype
A research-backed examination of prompting techniques that underperform their reputation - chain-of-thought on simple tasks, longer prompts, role prompting, threats, and jailbreaks - and what actually works instead.
8 min readReAct Prompting: How to Make LLMs Reason and Act in Alternating Steps
ReAct prompting alternates Thought, Action, and Observation steps so the model commits reasoning before choosing an action. Here is how to use it effectively in 2026.
8 min readConstitutional AI Prompting: How to Make Models Critique and Revise Their Own Outputs
Constitutional AI gives models a set of principles to evaluate their own outputs. You can apply the same pattern in your prompts to improve quality.
8 min readPrompt Compression: How to Cut Token Costs 40-60% Without Losing Output Quality
Compressing prompts reduces token costs without degrading output quality. These techniques can cut your prompt length by 40-60% with the same results.
8 min readMultimodal Prompting: How to Combine Images and Text for Better LLM Outputs
Multimodal prompting lets you send images alongside text instructions. Knowing what to ask and how to ask it determines whether you get useful or vague results.