100 DAYS OF AI · DAY 064

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ISSUE 012 · MAR 124 min read
MODEL RELEASE
A new small model crosses the “good enough” line for local dev.
It's not Claude Sonnet 4.5, but it runs on your laptop. That changes what you can build this weekend.
SHIPPED
Three infra announcements that actually matter.
Things got cheaper and more testable. Plain-English version inside.
+ 4 MORE STORIES
01 · FOR THE SIGNAL SEEKERS

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02 · FOR THE BUILDERS

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03 · FOR THE CURIOUS

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AI TOOLCOMING SOON

AI Resume Builder.

Build a tailored, ATS-optimised resume in minutes. Paste a job description, get a resume that fits.

AI TOOLCOMING SOON

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Learn any concept at your own pace. Ask questions, get clear explanations, practice with feedback.

03 · BUILT ENTIRELY IN PUBLIC

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Every tool on NeonStack was built live during a 100-day AI engineering challenge.

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neonstack/main · git log
d097a3f91c2feat(agent): ship model-release watcher
d0917b2e14dfeat(pipeline): weekly digest, end to end
d088e4c0a9ffeat(tool): linkedin post from commits
d0731d8b6e3feat(tool): arxiv paper → 2-min summary
d050000a8f2init: neonstack
04 · FROM THE BLOG

Tools, agents, and analysis.

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Server infrastructure with glowing network cables
LATEST
ANALYSIS

MCP Just Crossed 97 Million Downloads. Here Is What the 10,000-Server Ecosystem Actually Looks Like.

The Model Context Protocol went from Anthropic experiment to Linux Foundation standard in 16 months. Here is what that actually means for the tools you build today.

Pratham PanchariyaPratham Panchariya
May 21, 20267 min read
Developer working at multiple monitors with code on screen
ANALYSIS

Claude Code vs Cursor vs Copilot: The 2026 Comparison That Actually Matters.

74% of developers use AI coding tools daily. The race between Claude Code, Cursor, and Copilot is closer than the benchmarks suggest — and each wins in a different workflow.

Pratham PanchariyaPratham Panchariya
May 18, 20268 min read
Abstract AI network nodes connecting across a dark background
ANALYSIS

AI Agents Are in Production Now. Here Is What 57% Deployment Actually Looks Like.

More than half of surveyed organizations have AI agents running in production. The frameworks consolidated, the failure modes are well-documented, and the question shifted from "whether" to "how reliably."

Pratham PanchariyaPratham Panchariya
May 14, 20267 min read
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