sysid blog

Code Is Cheap.

Treat Agents Like Infrastructure As developer in 2026, you are probably not using one AI coding agent: Claude Code for personal projects GitHub Copilot CLI because your employer sanctions it maybe a third harness for its ergonomics (e.g.

A program is not its source code — it is a theory in the minds of its developers. — Peter Naur, 1985 Definition The mental model of a software product is the shared understanding that a development team holds about: What the system does — its purpose, beh…

A Different Role, Not a Faster One A staff engineer’s day used to be easy to describe.

The Practices We’re Throwing Away — They Matter Agentic coding has made writing software close to free.

AI has made it absurdly easy to generate software-like artifacts.

Keep It Simple my Agent We are navigating a Cambrian explosion of AI developer tools.

Execution Is Cheap, Judgment Is Scarce: The Real Shift in Software Engineering The Fracture Point Something fundamental is breaking in software engineering — not the tools, not the languages, but the organizational assumptions that have governed how teams…

“OpenClaw is a security dumpster fire.” — Laurie Voss, npm founding CTO [1] 1.

Taming Developer Environment Chaos In modern software, we have perfected the art of “Infrastructure as Code” and “Containerization,” yet the local developer environment remains a surprisingly messy frontier.

The Unexpected Trifecta Three independent forces are reshaping software development, each following its own logic, each seemingly unrelated. 1.

Streamlining Developer Productivity Store it, find it, act on it.

If you want something done right, automate it.

Streamlining Knowledge Management: Anki, Markdown, and the Power of inka2 Introduction Acquiring and keeping knowledge is an uphill battle.

Search has been revolutionized by AI, bringing ‘Google-level’ quality within the reach of everybody.

I still spend too much time managing environment variables!

Problem Given a start and endpoint, find the eager and lazy path from start to end.

Describe the target, let the machine figure it out.

Given multiple sets of data points.

Super fast CLI Bookmark Manager and Launcher Developer Productivity in Rust vs Python I am aware that this is a complex subject and impossible to treat objectively, especially given my time limit of 3 weeks.

Success is not always a straight line.

A refresher in software architecture philosophies with Perseverance, Patience and Python.

Find the maximal overlap of rectangles so, that every selected rectangle covers the full width of the overlap area.

I already analysed several scheduling problems: Task Scheduling Task Scheduling with limited Resources Job Shop Scheduling Problem Patient Scheduling The class of scheduling problems is interesting and every example provides new insight.

Find the best order policy to replenish stock levels, i.e. minimize the total cost incurred.

The Job Shop Scheduling Problem (JSSP) is an NP-hard problem. 1 The JSSP is defined by a set of jobs that must be executed by a set of machines in a specific order for each job.

Scheduling tasks in a large project translates to facing a graph optimization challenge: The Resource-Constrained Project Scheduling Problem is a combinatorial optimization problem that consists of finding a feasible scheduling for a set of \(n\) jobs sub…

Update May 2022: Using the coinbrew approach as documented here works now out of the box.

Find 10 points out of 50 with maximum distance from each other.1 This problem can modelled as a max-min model where we maximize the smallest distance of 10 points.

The full version of the problem you can find in part I of the article.

The Book of Mormon is a sacred text of the Latter Day Saint movement, which, according to adherents, contains writings of ancient prophets who lived on the American continent from approximately 2200 BC to AD 421.1 Not the easiest matter, so we need a smart

import mona1 from “.

Problem Connect each two cells with the same numbers by a line.

If you are looking for realtime features in WEB applciations you often end with Websockets.

We already looked at a simple scheduling problem: Task Scheduling.

We already looked at a real world scheduling problem: Patient Scheduling.

Problem Fill a rectangle with polyominos.

How to optimize the scheduling of patients in order to use the necessary infrastructure, i.e. infusion chairs optimally.

Given an inventory of square tiles, what is the maximum square space we can fill with them?

Partition an \(n \times n\) square into multiple non-congruent integer-sided rectangles.

Wikipedia a logic-based, combinatorial number-placement puzzle.

Normally you would be searching for the shortest path from A to B.

Travelling Salesman (TSP) Art in Python There is already a lot of existing work on this topic 1, but especially the book from Robert Bosch 2 inspired me to embark on my own journey.

This is a collection of logic recipies for Mixed Integer Programming.

This is a primer on Mixed Integer Programming.

This is a primer on Mixed Integer Programming.

Modelling a car rental company with medium complexity or how to make 120k € per week.1 If you need a primer on Linear Programming: Linear Programming for Dummies 1 Tools employed: Linear programming Python Pyomo as LP modelling language Optimizer: CBC Com…

This is a primer on Linear Programming.

Isn’t this BMW I4 a beauty?

An asyncio based agent platform written in Python and based on RabbitMQ.