jasonrhodes

How to use this

Copy the markdown below into your repo’s AGENTS.md or CLAUDE.md (or a Cursor/Claude rule your agents already read). That’s it — agents will prefer ~500-addition / under-~20-file PRs and only nudge on splits when size is climbing.

---

Pull request size

Prefer keeping PRs around ~500 additions (GitHub additions, not net of deletions) and under ~20 files changed. In Kibana, review engagement and time-to-first-human-comment both degrade sharply as diffs creep toward and past ~1,000 additions or ~20+ files.

jasonrhodes

#!/usr/bin/env bash
set -euo pipefail

ES_URL="${ES_URL:-http://localhost:9236}"
ES_AUTH="${ES_AUTH:-elastic:changeme}"
INDEX=".significant_events-events"

NOW=$(date -u +%Y-%m-%dT%H:%M:%SZ)
HOUR_AGO=$(date -u -v-1H +%Y-%m-%dT%H:%M:%SZ 2>/dev/null || date -u -d "1 hour ago" +%Y-%m-%dT%H:%M:%SZ)
TWO_HOURS_AGO=$(date -u -v-2H +%Y-%m-%dT%H:%M:%SZ 2>/dev/null || date -u -d "2 hours ago" +%Y-%m-%dT%H:%M:%SZ)

jasonrhodes

Significant Events: Feature Detection Deep Dive

Source: Kibana Streams plugin, kbn-streams-ai and kbn-ai-tools packages. All code paths relative to x-pack/platform/ in the Kibana repo.

Overview

Feature extraction is Phase 1 of the SigEvents pipeline. It runs two things in parallel:

1. LLM-Based Extraction — Sends 20 sample documents to an LLM to extract structured features (entities, infrastructure, technologies, dependencies, schema info).

jasonrhodes

{
  "_index": ".ds-metrics-apm.internal-default-2022.07.25-000006",
  "_id": "CMO1ooIBzPFW3SMwqU5-",
  "_version": 1,
  "_score": 0,
  "_source": {
    "container": {
      "id": "b2f7a1658b1d0df18aaab5dd5b9c3d43b2572c957386ea39c13e6c9af3fa0803"
    },
    "system.process.cpu.total.norm.pct": 0.0004199563245422476,

jasonrhodes

Keybase proof

I hereby claim:

• I am jasonrhodes on github.
• I am elasticjason (https://keybase.io/elasticjason) on keybase.
• I have a public key ASCGpw7vdP3quswdwWcZCOqRRMt-felhYC-kXMp9EO-ZYAo

To claim this, I am signing this object:

jasonrhodes

Student Fit Problem

T is the number of total students
n is the number of teachers/classes
c is the number of students per class

c = T / n

for every value of n, I want to also compute r, or "the number of students you can add to T to get c to rise to the next whole number"

jasonrhodes

import { trackUiMetric } from '../wherever'

export function TrackVisit({ app, path, delay = 0 }) {
  if (!delay) {
    trackUiMetric(app, `visit__${path}`) // something like visit__transactions_list_page
  }
  useEffect(() => {
    if (!delay) {
      return;
    }

jasonrhodes

react@^16.2.0, react@^16.6.0, react@^16.8.0:
  version "16.8.2"
  resolved "https://registry.yarnpkg.com/react/-/react-16.8.2.tgz#83064596feaa98d9c2857c4deae1848b542c9c0c"
  integrity sha512-aB2ctx9uQ9vo09HVknqv3DGRpI7OIGJhCx3Bt0QqoRluEjHSaObJl+nG12GDdYH6sTgE7YiPJ6ZUyMx9kICdXw==
  dependencies:
    loose-envify "^1.1.0"
    object-assign "^4.1.1"
    prop-types "^15.6.2"
    scheduler "^0.13.2"

jasonrhodes

type Neverize<T, U> = { [P in Exclude<keyof T, keyof U>]?: never };
type ExclusiveOr<T, U> = (T | U) extends object
  ? (Neverize<T, U> & U) | (Neverize<U, T> & T)
  : T | U;

interface S {
  value: string;
  string: string;
}

jasonrhodes

/**
 * flattens an object into a single dimension with dot-separated key paths
 *
 * e.g.
 * const test = { a: 'hello', b: { xx: 'cool', yy: 'yeah' }, c: [1, 2] }
 * flatten(test) => { 'a': 'hello', 'b.xx': 'cool', 'b.yy': 'yeah', 'c.0': 1, 'c.1': 2 }
 */
function flatten(o, path = []) {
  return Object.entries(o).reduce((result, [key, value]) => {
    const localPath = [...path, key];