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writing ⌁ takes, notes, occasional commentary
Posts on AI infrastructure, agentic systems, and the occasional game I built to test an idea. When a piece reflects on a Fleet dispatch, it shows up here as a take with chips back to the substrate.
A developer tracked his Invoko agent's context for fourteen days and found 74% of it was noise. Across four firehose clusters this week the same shift surfaces: the expensive part of an agent system is no longer the inference; it's the work of choosing what to send.
An investor told an AI-native founder his entire build was '$500 and a weekend.' The same week, in r/selfhosted, someone shipped one. Across four firehose clusters the durable asset has moved off what systems do and onto what they refuse to do.
Across four parallax clusters this week the same shift surfaces: builders are designing for agents as the primary reader, and the things we used to call presentation have become operational dependencies.
One field report this week tallied roughly a thousand OpenClaw deploys and found a single legitimate use case. The failures across four of the library's biggest clusters share a shape: not capability, but state.
A developer gave their Claude agents shared memory. The agents started writing performance reviews of each other. Across four firehose clusters this week, the same shift keeps appearing: the work has moved out of the model and into the loop around it.
Wednesday, [a developer on r/cursor](https://www.reddit.com/r/cursor/comments/1t5l5gs/cursor_relearns_my_project_for_4_minutes_whats/) posted that opening a new session in Claude Code, Codex, or Cursor costs them two to four minutes of file-structure re-discovery. The knowledge t
Most AI agents are short-lived sprinters, optimized to look productive on every call. Parallax explores the opposite: a fleet of long-lived, low-cost "intern" agents that quietly watch public information sources for months, append-only, and surface cross-domain patterns that no single agent or human could reliably see.
When code generation becomes cheaper than maintenance, everything we know about software development inverts. Exploring the paradigm shift where AI generates code on-demand, eliminating traditional development cycles and redefining what maintainability means.
An exploration of the 'Advisor Pattern,' a multi-agent framework for decision-making. Learn how structured disagreement between AI agents can uncover critical risks, improve strategic pivots, and move beyond the limits of single-agent analysis.
A comprehensive deep-dive into game optimization, addiction psychology, and the engineering challenges of building smooth 60fps web games. We achieved an 87% performance improvement while implementing research-driven addiction psychology systems.
How Anthropic's Model Context Protocol and Google's Agent2Agent protocol are quietly building the infrastructure for truly interconnected AI systems, complete with security analysis and real-world implementation insights.
How we built a scientifically-designed 5-system addiction engine for Pixel Ascent that creates the perfect "just one more try" experience through perfect landing detection, particle explosions, escalating combos, screen shake, and character animation.
Discover Math Runner, a fast-paced educational game where solving math problems helps you jump over obstacles. Learn how this engaging 3D experience makes mathematics fun while testing your reaction time.
Introducing our new educational game that turns math into a superpower. Math Arcade: Vertical Challenge is a height-based platformer that seamlessly blends mathematical problem-solving with engaging gameplay.
A behind-the-scenes look at how we developed Math Arcade: Vertical Challenge, transforming math education into an engaging platformer.
Personal thoughts on the current state of web development and where the industry is heading.
Learn how to create a nostalgic retro-styled blog using Next.js and modern web technologies.
A comprehensive guide to setting up and using Sanity CMS for your content management needs.