When does MCP make sense vs CLI?
I’m going to make a bold claim: MCP is already dying. We may not fully realize it yet, but the signs are there. OpenClaw doesn’t support it. Pi doesn’t support it. And for good reason. When Anthropic announced the Model Context Protocol, the industry collectively lost its mind. Every company scrambled to ship MCP servers […]
Show HN: Audio Toolkit for Agents
A suite of 25 audio processing tools — trim, normalize, compress, EQ, reverb, pitch-shift, time-stretch, key detection, MIDI extraction, and more — exposed as MCP tools via DeclarAgent. What You Get Category Tools Processing trim, time-stretch, convert, mono, silence-remove, split-bars Effects normalize, gain, compress, eq, reverb, limit, filter, pitch-shift Analysis analyze, detect-key, loudness, onset-detect MIDI […]
Lil’ Fun Langs’ Guts
I’m still thinking about those lil’ fun langs. How do they work? What’s inside them? Do I need my pancreas? What if I don’t want to normalize my IR? Is laziness a virtue? Haskell-esque languages may look alike, but they differ across many dimensions: Most implementations use standard compilation phases: Lexing: Source → Token stream […]
AI Made Writing Code Easier. It Made Being an Engineer Harder
Yes, writing code is easier than ever. AI assistants autocomplete your functions. Agents scaffold entire features. You can describe what you want in plain English and watch working code appear in seconds. The barrier to producing code has never been lower. And yet, the day-to-day life of software engineers has gotten more complex, more demanding, […]
Ape Coding
Ape coding is a software development practice where a human developer deliberately hand-writes source code. Practitioners of ape coding will typically author code by typing it on a computer keyboard, using specifically designed text editing software. History The term was popularized when agentic coding (coding performed by AI agents) became the dominant form of software […]
I built a demo of what AI chat will look like when it’s ”free” and ad-supported
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Microgpt explained interactively
Andrej Karpathy wrote a 200-line Python script that trains and runs a GPT from scratch, with no libraries, no dependencies, just raw Python. The script contains the complete algorithm that powers LLMs like ChatGPT. Everything else is just efficiency. Let’s walk through it piece by piece and watch each part work. Andrej did a walkthrough […]
Why is the first C++ (m)allocation always 72 KB?
2026-02-28 TLDR; The C++ standard library sets up exception handling infrastructure early on, allocating memory for an “emergency pool” to be able to allocate memory for exceptions in case malloc ever runs out of memory. I like to spend (some of) my time hacking and experimenting on custom memory allocators with my own malloc implementation(s). […]
Show HN: Terminal-Style Portfolio on the Internet
19-year-old AI developer, Perplexity Business Fellow, winner of Nothing Essential Lab S1 Hackathon (awarded a Nothing Phone 3), featured by The Independent for ClawX, 4th place at Unsloth x AMD RL Hackathon at IIT Delhi, with 20+ hackathons under his belt. From New Delhi, India. Participant in OpenAI Asia-Pacific Developer Discussion. Creator of innovative AI […]
Decision trees – the unreasonable power of nested decision rules
Decision Trees We just saw how a Decision Tree operates at a high-level: from the top down, it creates a series of sequential rules that split the data into well-separated regions for classification. But given the large number of potential options, how exactly does the algorithm determine where to partition the data? Before we learn […]