A model alone is a curious oracle. A model in a harness is a worker. The interesting craft of 2025–2026 has been less about better models and more about the satellites: context shaping what the model knows, tools shaping what it can do, verifiers closing the loop on whether it succeeded. The dashed line is the most important — most agents that fail in production fail there.
№ 02
How a request reaches a static site on Cloudflare Pages
networking · web
From the browser's point of view, a static site loads "instantly." Almost all the work — DNS lookup, TLS, edge routing — happens before the bytes even start. Once Cloudflare's edge has matched the host to a Pages project, the rest is internal traffic between Cloudflare's own services. The closer the user is to a Cloudflare PoP, the more this whole diagram collapses into "just a few milliseconds."
№ 03
OAuth 2.0 with PKCE — the dance, plainly
auth · web
Vanilla OAuth 2.0 worried about server-to-server secrets. PKCE (pronounced "pixy") was added because mobile and SPA apps can't keep a secret. The trick: the client invents a random verifier, sends only its SHA-256 hash to the auth server up front, and reveals the verifier itself only when redeeming the code. Even if an attacker intercepts the authorization code, they don't have the original verifier and can't redeem it.
№ 04
A Merkle proof — belonging to a set, without the set
crypto · data structures
A Merkle tree hashes data in pairs, all the way up to a single root hash that fingerprints the entire set. The quiet magic is the proof: to convince someone that block C belongs, you don't hand over the whole set — you hand over your block plus the handful of sibling hashes along the path to the root (here just H(D) and H(AB)). They recompute the root and check it matches. This is what lets Git, Bitcoin, and Certificate Transparency verify membership in enormous sets with a logarithmic-sized proof — a perfect diagram subject because the whole idea is a shape: a path climbing a tree.
№ 05
Consistent hashing — serving a key without knowing the whole cluster
distributed systems
In modular hashing, a key's server is determined by hash(key) mod N — clean until N changes and every assignment shuffles. Consistent hashing fixes this by projecting both keys and servers onto a shared circular hash space. A key's owner is whichever server appears first clockwise from the key's position. When a server joins or leaves, only the keys in that server's arc of the ring need to migrate — roughly K/N out of K total, the rest stay put. That bounded migration cost is why Redis Cluster, Cassandra, DynamoDB, and most CDN routing tables use it: the cluster can reshape itself without emptying and refilling every shard.