Han, Not Solo

Welcome to the Permanent Underclass.

Experimentation-centric designs, not benchmark running scripts - Most conversations about evals collapse into which SaaS tool to buy, which metrics to track, which LLM-as-a-judge prompt to slap on, or which single headline benchmark score to worship.

AI agents compress the cost of collecting, cleaning, and operating public data. - For years, a lot of data businesses were not really selling unique or proprietary data.

Whatever you bolt onto the model today is what the next model will eat. - If you have been building agentic products in the last twelve months, you have been writing harness code: system prompts, tool wrappers, planner-executor loops, retry policies, cont…

Cognitive surrender is the blue pill of 2026. - In April, a partner at Sullivan & Cromwell — the firm that advises OpenAI on the safe and ethical deployment of artificial intelligence — sent an apology letter to Chief Bankruptcy Judge Martin Glenn of the…

Agents needs to live in a runtime.

We’ve never had determinism in software.

Backyard furnaces, fake grain reports, dead sparrows, and poisoned flowers — your company's AI transformation is repeating history. - In 1958, Mao ordered every village in China to produce steel.

The infrastructure that determines what your agent can actually learn - Model architecture gets all the attention.

Understanding agentic model development and agent frameworks through the lens of Super Mario - Agentic AI is a fairly recent development that combines reasoning (OpenAI, 2024) and tool use (Schick et al, 2023) in the same AI model.

Apache Spark's #1 committer reveals how contrarian decisions and AI-first strategy drive Databricks' 60% YoY growth - Reynold Xin, Apache Spark’s #1 committer famous for “deleting more code than others wrote,” reveals how Databricks maintains 60% YoY grow…

Deconstructing prompt-based meta-tool architecture and context injection patterns for AI engineering - Claude’s Agent Skills system represents a sophisticated prompt-based meta-tool architecture that extends LLM capabilities through specialized instruction

Product strategy for the shift from human interfaces to AI reasoning engines - If you’re building B2B software, your product strategy needs to account for a fundamental shift happening right now.

From SaaS glue work to AI-native systems: mindset, toolset, skillset, data - If you’re leading enterprise transformation, you need to understand what’s happening to your workforce, your tech stack, and your competitors right now.

Understanding common metrics in LLM benchmarks - Every time AI labs release new models, we see an evaluation metric called $\text{pass@}k$, where $k$ can be any integer number such as $\text{pass@}1$.

A RACI Matrix Guide to Navigating the Blurred Lines Between PM, Engineering, and Design Roles - The bottom line: Modern AI tools like ChatGPT, Claude, and Cursor are acting as powerful democratizers in software development.

Save planet earth, stop using Pydantic everywhere - I love Pydantic.

Skating to where the puck is going to be, not where it was - Agent frameworks and workflow builders exist because the LLM model itself is not yet strong enough to be autonomous in completing the tasks.

Failing agent computer interaction design by wrapping MCP on top of REST API - Model Context Protocol (MCP) is a prominent technology in 2025, generating buzz comparable to ChatGPT in 2023 and RAG in 2024.

An third party MLOps post mortem on xAI Grok's 'white genocide' - Update 2025-05-15: xAI published a post on X detailing that “an unauthorized modification was made to the Grok response bot’s prompt on X.”.