Blog
Perspectives on AI-driven software development, engineering strategies, and the future of building digital products.
RAG in Production: Building AI Systems That Actually Know Your Data
Retrieval-Augmented Generation has moved from research papers to production systems. Here's what we've learned building RAG pipelines that handle real-world data at scale—and the pitfalls that trip up most teams.
Fine-Tuning LLMs for Your Codebase: A Practical Guide
Generic LLMs write generic code. Fine-tuning on your codebase produces an AI that understands your conventions, patterns, and architecture—here's how to do it cost-effectively.
The AI Testing Revolution: How LLMs Are Writing Better Tests Than Most Developers
AI-generated tests are reaching a quality threshold where they consistently catch bugs that human-written test suites miss. Here's the state of AI testing tools and how to integrate them into your workflow.
GitHub Copilot Workspace: From Issue to Pull Request in One Click
GitHub's Copilot Workspace takes an issue description and generates a complete implementation plan, writes the code, runs tests, and opens a PR—all within the GitHub interface.
GPT-4 Turbo for Coding: Benchmarks, Limitations, and Best Practices
OpenAI's GPT-4 Turbo brought a 128K context window and significantly faster inference to coding tasks. Here's how it performs across real engineering workloads and how to get the best results.
AI-Powered Code Review: Why Your Pull Requests Need a Second Opinion
Automated code review tools using LLMs can now catch security vulnerabilities, suggest performance improvements, and enforce coding standards before any human reviewer sees the PR.
v0 by Vercel: How AI-Generated UI Is Actually Being Used in Production
Vercel's v0 generates complete React components from text prompts. We dug into how teams are actually using it—not just for prototyping, but shipping AI-generated interfaces to real users.
Devin AI: What Autonomous Software Engineering Actually Looks Like
Cognition's Devin made headlines as the 'first AI software engineer.' After months of real-world usage, here's what autonomous coding agents can actually do—and where they still fall short.
Claude's Code Agents Are Changing the Automation Game
Anthropic's Claude has evolved from a conversational AI into a capable code agent that can plan multi-step tasks, execute shell commands, and ship working features with minimal human guidance.
Cursor AI Is Rewriting How Developers Build Software
Cursor has emerged as the most talked-about AI code editor of the year, combining VS Code familiarity with deeply integrated LLM capabilities that let developers write, refactor, and debug code through natural language.