2026

The Case Against Mandatory In-Person Work for AI Startups
LLM as Judge: What AI Engineers Get Wrong About Automated Evaluation
From Research Papers to Production: ML Features Powering a Crypto Scalping Engine
The Two-Layer Model That Separates AI Teams That Ship from Those That Demo
The Research on LLM Self-Correction
Eval Driven Development
Forget Elite DORA Scores. Your Platform’s Job is to Make Slow Teams Less Slow.
Claude Code Doesn't Index Your Codebase. Here's What It Does Instead.
Pixel-Perfect UI with Playwright and Figma MCP: What Actually Works in 2026
Two Paradigms of Multi-Agent AI: Rust Parallel Agents vs Claude Code Agent Teams
5 Meta-Tools, 0 Ad-Hoc Edits: Structured Code Repair with AI Agents
Your Linter Can't Trace Execution Paths. This Agent Can.
We Built a Strategic Brain for Our AI Pipeline. Here's What It Learned.
How We Built an Agent That Edits Its Own Instructions
Why Do AI Agents Keep Making the Same Mistakes?
The Agent That Says No: Why Verification Beats Generation
How I Built a UX Team with Claude Code Agent Teams
BMAD Method + Langfuse + Claude Code Agent Teams in Production
Trigger.dev Deep Dive: Background Jobs, Queue Fan-Out, MCP, and Agent Skills
Concurrent AI Agents on CF Workers
Building an Automated Architecture Reviewer with Claude Opus 4.6
Production-Ready AI Job Classification in Python with LangChain and Cloudflare Workers AI
Building a Job Search Agent with Google ADK and Search Grounding
Streaming OpenAI TTS to Cloudflare R2
LangSmith Prompt Management
Langfuse Features: Prompts, Tracing, Scores, Usage
OpenRouter Integration with DeepSeek
AI-Driven Company Enrichment with DeepSeek via Cloudflare Browser Rendering
Agent Skills spec + Mastra integration
AI-Powered Skill Extraction with Cloudflare Embeddings and a Vector Taxonomy
AI Observability for LLM Evals with Langfuse
Schema-First RAG with Eval-Gated Grounding and Claim-Card Provenance
Evals for Workflow-First Production LLMs: Contracts, Rubrics, Sampling, and Observability
Agentic Job Pre-Screening with LangGraph + DeepSeek: Auto-Reject Fake “Remote” Roles
Building Long-Running TTS Pipelines with LangGraph: Orchestrating Long-Form Audio Generation
DeFiTuna: On-Chain Limit Orders on Solana
Deploying Real-Time Solana Data Streams on Cloudflare Containers with LaserStream

2025

DefiTuna AMM Smart Contract — Anchor Implementation Guide
Building a Production-Ready Jupiter Swap Integration on Solana with Anchor
AMM vs CPAMM on Solana: constant product vs CLMM, DLMM, PMM, and order books
Tokio vs tokio-stream in WebSocket adapters - stream-first vs select!
Hyperliquid Gasless Trading – Deep Comparison, Fees, and 20 Optimized Strategies
Slaying Bullish Bias - A Market Wizards Playbook
Contributing a Safer MarketIfTouchedOrder to Nautilus Trader — Hardening Conditional Orders in Rust
Contributing a Safer LimitIfTouchedOrder to Nautilus Trader — A Small Open-Source Win for Rust Trading
How to Integrate OpenAI TTS with FFmpeg in a FastAPI Service
How to Set Up and Run DeepSeek-R1 Locally With Ollama and FastAPI

2024

Adapting Stock Forecasts with AI
Leveraging Qlib and MLflow for Unified Experiment Tracking
Qlib’s Nested Execution for High-Frequency Trading with AI
A Comprehensive Guide to Qlib’s Portfolio Strategy, TopkDropoutStrategy, and EnhancedIndexingStrategy
Understanding Score IC in Qlib for Enhanced Profit
Powering Quant Finance with Qlib’s PyTorch MLP on Alpha360
Harnessing AI for Quantitative Finance with Qlib and LightGBM
Adaptive Deep Learning in Quant Finance with Qlib’s PyTorch AdaRNN
Understanding Gradient Descent in Linear Regression
Understanding Linear Regression in Machine Learning
Technical Analysis of Key NVIDIA Partners - A Comparative Study
Correct Exchange Mapping in VeighNa to Resolve IB Security Definition Errors
Understanding the Sniper Algorithm Implementation in Algorithmic Trading
Backtesting NVIDIA Stock Strategies on VeighNa - Moving Average Crossover Strategy
Automating Financial Data Collection and Uploading to Hugging Face for Algorithmic Trading
Algorithmic Trading with VeighNa and Interactive Brokers - Installation Guide and Troubleshooting
Predicting Bank Failures Using Gradient Descent and Machine Learning
Understanding Gradient Descent and Its Applications in Trading Algorithms
Understanding Euclidean Distance and Its Applications in Trading Algorithms
Understanding the Bias-Variance Tradeoff and No Free Lunch Theorem in Machine Learning
Predicting Stock Returns Using Linear Regression in Finance
Leveraging AI and Machine Learning in Finance - A Strategic Advantage
Enhancing Trading Strategies with AI - Comparing CatBoost and XGBoost

Authors

Vadim Nicolai
70
Senior Software Engineer

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Authors

Vadim Nicolai