The Asymmetric Verification Trap: Why AI Coding Is Burning Out Senior Engineers
When generating code costs nothing, human verification becomes the ultimate engineering bottleneck. Here is how to architect cognitive guardrails into your workflow
The MLnotes Newsletter
MLnotes shares bite-sized insights on AI, ML, GenAI, agents, and RAG—from real-world applications to careers and startups—helping cut through the noise of rapid AI progress.
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Latest posts
10 GB on a Laptop: A DuckDB Field Guide
62 million rows, 88 seconds, 2.67 GB, and a 1 GB memory budget. Here's what actually fought back
Beyond Text-to-SQL: Building a Governed Agentic Data Stack
Why naive LLM database queries fail in enterprise production—and the 3-layer architecture required to fix them.
Beyond the Pixel: The Rise of Agentic Document Platforms
How document processing evolved from simple character recognition to autonomous, layout-aware AI systems that read and reason like humans.
Agentic RAG: Make Retrieval a Decision, Not a Step
Here’s the uncomfortable truth almost every RAG tutorial skips: the standard RAG pipeline doesn’t actually work beyond the demo.
Secure Playgrounds: Sandboxing & Execution Security in Harness Engineering
In Part 2, we built a working agent harness with three real tools, read_file, write_file, and run_bash. The feedback loop worked. Errors came back as structured signals. The model self-corrected.
Inside the Machine: The Anatomy of an Agent Harness
In Part 1, I argued that the harness is more important than the model, that the teams shipping reliable autonomous agents win by obsessing over the infrastructure around the LLM, not just the weights inside it.
The Harness Beats the Model: Demystifying Agent Harness Engineering
Over the past couple of years, I have spent most of my working hours building agent systems in production, multi-agent pipelines for enterprise clients, agentic platforms for startups, and educational content for a community of over 100,000 people learning to work with LLMs.
Real-time AI captions for any video in your browser
I was watching a news broadcast being translated live on screen and had one thought: why isn’t this just built into the browser?
Slop, Speed, and Discipline: Hard Truths About AI Coding Agents
Originally presented at AI Engineer conference by Mario Zechner, creator of PI, a minimal, extensible coding agent