Building a Custom AI Code Assistant: Better Than Copilot for Our Codebase
Built custom AI code assistant fine-tuned on our codebase - 85% accuracy vs 60% for generic Copilot. 40% productivity gain
AI Technology Enthusiast | Technical Project Manager | New York
Exploring AI tools, sharing tech insights, and discovering products that make life better. 243 articles and counting.
Built custom AI code assistant fine-tuned on our codebase - 85% accuracy vs 60% for generic Copilot. 40% productivity gain
Tested Gemini 2.0 with 2M token context, native multimodal, and improved reasoning. Compared to GPT-4 and Claude 3.5 on real tasks
Compared 3 leading image generation models - quality, speed, cost, control. Midjourney v6 wins for quality, SDXL for control
Tested OpenAI's o1 reasoning model on complex problems - math, coding, logic. 10x better reasoning than GPT-4, but slower and more expensive
Implemented 5 AI integration patterns - API wrapper, streaming, batch, RAG, agent. Serving 1M requests/day across all patterns
Deployed 10 AI agents serving 100K users/day - monitoring, error handling, cost optimization, and scaling strategies that actually work
Tested 3 AI-powered search engines for research tasks - accuracy, speed, sources. Perplexity won with 92% accuracy
Fine-tuned GPT-3.5 for legal document analysis - 70% → 95% accuracy. Complete guide with code, data prep, and evaluation
Tested 3 major AI IDEs for 60 days - productivity, accuracy, cost. Cursor won with 45% productivity gain
Comprehensive review of Claude 3.5 Sonnet - tested against GPT-4, Gemini 1.5 Pro on coding, reasoning, and writing. Surprising results