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Tuesday, August 4, 2026

Publishing an AI-Built Game: Eleven Runners, Two CPU Architectures, Four Hidden Bugs

Runbook · Public release & CI proof · Part 4

SANYALnet Labs Ludo AI Arena rendered on an Arm64 Linux GitHub Actions runner with no display attached: the full cross-shaped board, four AI player cards, the die, and a scrolling event log.
A complete game played on an Arm64 Linux cloud build machine with no monitor, no desktop and nobody watching. The application drew this picture of itself.

Publishing an AI-Built Game: Eleven Runners, Two CPU Architectures, Four Hidden Bugs

In Part 3 of this series, ChatDev 2.0 built SANYALnet Labs Ludo AI Arena—a C#/.NET 10/Avalonia desktop game in which four autonomous AI players play a full match by themselves. Five free models failed at it; one paid DeepSeek run costing about a dollar shipped it. The post ended with the game running on four machines in my house, and a build report from the agents declaring everything green. Both of those statements were true. Neither of them meant the software was actually finished.

Saturday, August 1, 2026

Build a Cross-Platform Ludo Game with ChatDev 2.0: Free AI Models Fail, a $1 DeepSeek Run Ships It

Runbook · Multi-agent application build · Part 3

SANYALnet Labs Ludo AI Arena running on Linux: a rendered cross-shaped Ludo board with four AI players, a die, and an event log showing model-generated move reasoning.
The finished game: four autonomous AI players, a live event log of model-chosen moves, and a die that flashes without shoving the board around.

Building a Desktop Game with ChatDev 2.0: When Free AI Models Fail, and a One-Dollar DeepSeek Run Ships It

In Part 2 of this series, ChatDev 2.0 took a detailed specification and built a Live News Debate Wall—a self-contained Python web service that turned business headlines into a fictional AI-parody debate. That project answered a friendly question: can the virtual software company build a real application from a real spec? It could. This time the question was less friendly.

Tuesday, July 28, 2026

Build and Run a Live AI News Debate Wall with ChatDev on Linux

Runbook · Multi-agent application build

Live News Debate Wall interface showing fictional AI-parody responses from POTUS, the European Commission president, Gronk Vellumthud and Yoda, with RSS and model health indicators.
ChatDev’s finished Live News Debate Wall turns live business headlines into an AI-parody debate—complete with policy, bureaucracy, Vogon poetry and Yoda.

Building a live AI news debate wall with ChatDev 2.0: from requirements prompt to a tested Linux service

In the first part of this series, I installed ChatDev 2.0 on Linux, connected its virtual software company to an OpenAI-compatible GLM endpoint, and proved that the complete agent graph could design, write, review, test and deliver a runnable program. This time, the factory gets an actual assignment.

Friday, July 24, 2026

DO NOT PANIC: Free Windows Stock Market Dashboard

DO NOT PANIC Portfolio Visualizer Windows stock market dashboard with ticker tapes, floating charts, market indicators and city background
DO NOT PANIC Portfolio Visualizer turns delayed market data into an animated, full-screen financial display.

Stock-market dashboards usually resemble spreadsheets that have acquired several extra panels and begun making demands. We wanted something different: a financial display that could live on a second monitor, office screen, television, or wall-mounted panel without looking like an accounting department had occupied the room.

The result is DO NOT PANIC Portfolio Visualizer 1.0, a free animated stock market dashboard for 64-bit Windows 10 and Windows 11. It combines delayed portfolio quotes, four customizable ticker tapes, floating charts, global market clocks, macro indicators, financial headlines, and rotating city or stock-exchange backgrounds. It is now available from the project’s official GitHub release and its itch.io download page.

Thursday, July 23, 2026

Install ChatDev 2.0 on Linux: AI Agents That Build Real Software

Runbook · Multi-agent software factory

Building software with a team of AI agents: installing ChatDev 2.0 and passing a full-lifecycle smoke test

For a while now I've wanted to break out of the closed ecosystems I write code in every day — OpenAI's ChatGPT and Codex, Anthropic's Claude and Claude Code. The reason is simple: the free, openly available models have been closing the gap with the $20-a-month subscription tiers so quickly that paying for a walled garden increasingly feels like a habit rather than a necessity. That instinct was sharpened by Bill Gurley's July 2026 Washington Post opinion piece — Gurley, president and founder of the P3 Institute and a former venture capitalist, argues that the flood of powerful models being given away for free is not a security threat but ordinary competition: the oldest strategy in software, cost leadership, driving price down toward the near-zero cost of copying a model. It is, in the essay's words, simply "what competition looks like." Convinced that the open side is where the momentum now lies, I went hunting for a serious free-model toolchain to build real software with — and ChatDev is the most promising thing I found.