Archives

How one can leverage partial application of agents - borrowing from the functional programming paradigm.

Discussing a type system that rejects unsafe code before it ever runs.

How to combine Markov chains with large language models to build more structured, interpretable, and efficient agents. Markov chains provide structure and efficiency; LLMs provide semantic understanding and flexibility.

MarkyMarkov - a PoC leveraging Markov chains for coding - shows that small, interpretable probabilistic models add high value to code workflows. By learning patterns from your own codebase, Markymarkov provides fast, explainable guidance that complements existing tools rather than replacing them.

Context—or how I learned to love the MINDMAP

Modern infra teams are quietly feeding their most sensitive data—logs, configs, schemas—into cloud LLMs just to get unstuck. It feels like harmless troubleshooting, but in reality it extends your trust boundary into a black box you don’t control or fully understand.

Thoughts on some software development topics with regards to modern agentic tooling

Content addressable storage for improved CI

Environment manager and task runner.

LAN discovery tool of note.

casq is a small, no-frills content-addressed file store and Rust library that gives you git-style hashing and deduplication locally, without trying to be a full backup system or version control tool, and is available under the permissive Apache-2.0 license.

This post explores how to pair agentic workflows with durable workflow engines (specifically Temporal), add structure using finite state machines, plug in MCP servers for tools, and grow from a small pilot into stable, production-ready workflows.

Notes on terminal multiplexers.

Discussions about how one can limit the blast radius of agents.

Remap Caps Lock to Left Control.

Philosophically informed agent design means explicitly modeling what an AI believes, how it knows things, and which moral and epistemic norms guide its decisions, so that its behavior becomes more reliable, inspectable, and aligned with human expectations.