News
Beyond AI Coding Productivity: Why Engineering Quality Still Matters
A recent talk by Jonathan Kelley, founder of the Dioxus cross-platform Rust framework now folded into Cognition, surfaces…
AI & Smart Solutions
Model fine-tuning or prompt engineering: choosing your path
The market often presents AI customization as a binary choice: write better prompts for a quick result, or fine-tune a model when…
AI & Smart Solutions
Prompt Injection Risks: Practical Fixes for AI Apps
AI vendors often describe modern language models as if they can reliably distinguish a user’s request from the content they are…
AI & Smart Solutions
Vector vs Relational Databases: Choosing Your AI Backend
For the better part of five decades, the relational database has been the default substrate for application data. Codd's 1970…
AI & Smart Solutions
AI Agent Orchestration vs Autonomous Task Automation
You've cleared the budget meeting, your team is excited, and you've decided to bring AI into the way your company handles inbound…
AI & Smart Solutions
LLM Fallback Routing: Actionable Safeguards for AI Apps
An AI feature can fail without the application itself being broken. The web app is available. Authentication works. The database…
AI & Smart Solutions
Long Context LLMs vs RAG: Is Retrieval Still Needed?
The marketing slogan is seductive: a frontier model with a million-token context window can absorb entire codebases, legal…
AI & Smart Solutions
Semantic Caching: Inside the LLM Response Pipeline
“Semantic caching” is increasingly presented as a straightforward way to make LLM applications faster and cheaper: convert a…
AI & Smart Solutions
Dedicated Vector DB vs pgvector for Custom AI Apps
Most sales pitches for AI infrastructure begin with the same confident assertion: your custom application will outgrow PostgreSQL…
AI & Smart Solutions
Are No-Code AI Agents Ready for Production?
Most pitch decks for AI agent platforms open with the same promise: drag, drop, and deploy an autonomous workflow that replaces a…
AI & Smart Solutions
RAG vs Fine-Tuning: Which Fits Your Custom Web App?
Vendor decks flatten the choice. Adopt RAG and your LLM becomes an omniscient librarian; pick fine-tuning and it graduates from a…