Data Engineering &amp; Performance Optimization

AI Tools & AgentsMar 2026

Claude Code's Compaction Engine: What the Source Code Actually Reveals

A few months ago I described context engineering from the outside. Then Claude Code's repository surfaced - and I asked Claude to analyze its own source code. Here's what's actually running beneath every long session.

AI AdoptionMar 2026

We Were About to Buy an Automation Platform. We Already Had One.

We spent weeks in governance spirals over n8n and Workato. The answer was already deployed — it just needed one more feature to click into place.

AI AdoptionMar 2026

What Karpathy's Autoresearch Unlocked for Me

I was stuck at 0.58 AUC for three weeks. Then an AI agent ran 165 experiments while I slept — and broke through a ceiling I couldn't crack on my own.

AI AdoptionJan 2026

How We Measured 65% AI-Written Code (And Why Lines Don't Matter)

After our Claude Code pilot hit 65% AI-written code, the most common question was: how did you actually measure that? The answer is simpler than most expect - and it starts with abandoning the wrong metric.

AI AdoptionDec 2025

What 65% AI-Written Code Taught Us About 'Good Enough'

A pilot group of 30-40 engineers set a 40% AI-written code target. Six weeks later, the real number was closer to 80%. What we learned about adoption, power users, and the shift to 'good enough.'

Data EngineeringDec 2025

Connecting Snowflake to Claude: The Guide That Should Have Existed

It took a month to connect Snowflake to Claude. Not because the setup is impossible — but because the right documentation doesn't exist. Here's the guide I wish I had.

AI AdoptionNov 2025

Good Enough and Really Fast: A Haiku 4.5 Case Study

A development team moves so fast that Product can't keep up. How a shift to Haiku 4.5 changed their economics and workflow, and what it reveals about the future of coding agents.

AI Tools & AgentsOct 2025

Cursor 2.0: When Your Code Editor Becomes a Work OS

Cursor 2.0 reimagines code editors as orchestration platforms. Exploring multi-agent workflows, parallelization trade-offs, and how AI tools are fundamentally changing how we think about work.

AI ModelsOct 2025

Haiku 4.5: The Model Nobody Expected to Care About

A small, fast, affordable model that matches Sonnet 4-level capabilities. The gap between what we think we need and what actually gets the job done is closing faster than most people realize.

3 min read

AI ModelsOct 2025

Z.ai and the GLM-4.6 Model: Good Progress, But Not Sonnet-Level Yet

GLM-4.6 is gaining attention as a capable, affordable alternative to Claude, but after nine months with Sonnet models, it's solid progress without redefining the frontier.

2 min read

AI Tools & AgentsOct 2025

Context Engineering: What Keeps AI Agents From Losing Their Minds

Behind every long-running AI agent, there's quiet, invisible engineering that keeps the model from forgetting who it is and what it's doing.

6 min read

AI ModelsSep 2025

Anthropic vs OpenAI: The AI Model Rally That Changed Everything

A week of rapid-fire AI releases changed the game. GPT-5 challenged Claude's dominance, Anthropic countered with 1M context windows, and Claude 4.5 followed. Here's what this means for developers.

3 min read

AI Tools & AgentsSep 2025

How MCP Prompts Automated 600-Line Kusto Query Debugging

From manual pain to automated precision: how I used MCP tools to turn the nightmare of debugging complex Kusto queries into structured, data-driven performance reports.

Data EngineeringAug 2025

AI Agents Debug Spark Faster

How I turned a painful Spark debugging cycle into a tight feedback loop using Databricks CLI, DuckDB, and local iteration. From cluster slog to terminal efficiency.

InfrastructureMay 2023

Why I Set Kubernetes CPU Requests Equal to Limits (And You Should Too)

A production mystery that changed everything I thought I knew about Kubernetes resource management. When our 8-core workload couldn't get 8 cores, I discovered the real problem with traditional request/limit configurations.

6 min read