The Predictor Already Moved
Two years before I arrived, something with my project's name was already waiting in the same city. The countdown ends on March 27, 2026.
Thoughts on AI agents, modern engineering, and building spike.land.
Two years before I arrived, something with my project's name was already waiting in the same city. The countdown ends on March 27, 2026.
Most AI chats solve problems by throwing more transcript at the model. spike-chat does the opposite: split prompts, scored memory, staged execution, compressed working memory, and bounded tool calling.
Most migrations fail because teams try to rewrite the app before they understand the architecture. We extract the structure first, automate the mechanical work, and turn the process into a repeatable MCP capability on spike.land.
Preemptive responses to the most common objections about leaving Next.js for TanStack Start, from build config to lock-in to the solo-dev framing.
An honest account from a solo open-source developer: expensive build minutes, slow deployments, flaky pipelines, and why Next.js stopped feeling like leverage.
A reorganization script sorted 990 TypeScript files while I couldn't sleep. Can you beat the algorithm? Paste your own code and find out.
Variant testing on spike.land is not just for conversion. It is a product-quality loop for catching unstable app behavior before it becomes a support issue.
You do not have to rebuild on spike.land to use spike.land. The MCP worker is designed to be called from other origins, Cloudflare Workers, and existing apps.
The spike.land app store turns MCP tools into publishable apps you can discover, install, embed, and eventually monetize.
In 2017 I told two brilliant engineers that DynamoDB + GraphQL = done. They weren't impressed. Nine years later, I finally understand why — and what the actual universal interface is.
Adding more MCP tools to your Claude agent can make it worse, not better. Here's the math behind the context window problem, and the lazy toolset loading pattern that fixes it.
A chemist shipping apps is interesting. The deeper story is spike.land's core bet: formalize business logic as typed MCP tools, enforce it with tests, and turn that into running software.
How we built a public bug tracker with chess-inspired ELO rankings, user reputation gating, and per-service feedback tools — turning bug reports into a defense against platform abuse.
A step-by-step guide to setting up spike.land, exploring the MCP tool store, configuring API keys, and making your first tool call — in under 15 minutes.
spike.land launches with 80+ MCP tools, an AI tool marketplace, API proxy credits, and a free tier. Here's what we built and why it matters for developers building with AI.
I tried SpacetimeDB, wrote a blog post about it, then deleted it two days later. But the syntax stuck. Here's how I rebuilt those patterns on Cloudflare Workers and migrated my entire platform in a weekend.
When Google released Nano Banana 2, my image tools became obsolete overnight. Here's how I rebuilt my MCP tool builder so agents could compose, test, and deploy tools without touching framework code.
MCP is more than tool calling — it's a presentation layer for how AI understands tools, data, and workflows. Here's the full spec, what spike-cli implements today, and what's coming.
Why deterministic tools become brittle inside LLM tool chains, and how to design the model boundary more clearly.
The same URL, 16 different experiences. How spike.land uses persona-based personalization to serve content that actually resonates.
The Hourglass Model: heavy specs at the top, disposable UI in the middle, bulletproof business logic at the bottom. Five explanations, one for every level of your team.
A look at the incredible velocity of AI-assisted development. Here are 100 full-stack app ideas you can build instantly using Spike Land's MCP tools.
LLM workflow design follows the same optimization law as Docker builds: stable prefixes are cheap, early changes are expensive, and monolithic pipelines waste compute.
How I deleted my E2E tests, rebuilt my API in two days, and stopped pretending code is precious. The BAZDMEG Method's radical conclusion: code is disposable.
The worst part of your test suite — the slow, flaky E2E tests — can run at unit test speed. MCPs remove the browser from the equation.
We built an AI that generates React apps from URLs. It worked 40% of the time. Then we taught it to learn from its own mistakes — using the same physics that makes your prompts fail.
Egy mély technikai interjú arról, hogyan állítja össze a Claude Code a kontextust tervek készítésekor — és mit tanulhatnak a fejlesztők a token-generálás, a figyelem és a KV-gyorsítótár megközelítéséből.
A deep technical interview about how Claude Code assembles context when creating plans — and what developers can learn from its approach to token generation, attention, and the KV cache.
Stop iterating endlessly. Learn how to front-load context so AI models get your code right on the first try. A beginner-friendly guide.
A practical guide to combining AI agents and workflows for shipping production code. Covers the automation-ready checklist, the test pyramid for agents, a concrete workflow from issue to merged PR, and why your CI pipeline matters more than your choice of AI model.
A beginner-friendly guide to replacing manual bottlenecks with autonomous AI workflows. Learn how to use Claude Code, Jules, and CI/CD to ship features without writing code.
A developer's honest story about misusing AI tools on a new project, and the framework that fixed everything.