From 3138422b95dc716fbd73fe78c67d2d51ea76e572 Mon Sep 17 00:00:00 2001
From: John Donalson
Date: Sun, 18 Oct 2026 22:51:11 -0400
Subject: [PATCH 1/2] docs: add CoIR and historical benchmark methodology
references
---
e2e/demo.test.ts | 4 ++++
src/routes/+page.svelte | 10 +++++++++-
2 files changed, 13 insertions(+), 1 deletion(-)
diff --git a/e2e/demo.test.ts b/e2e/demo.test.ts
index 4fa120a9..a24d0650 100644
--- a/e2e/demo.test.ts
+++ b/e2e/demo.test.ts
@@ -17,6 +17,10 @@ test('home page explains model-agnostic intelligence and paid Starter pricing',
'80 paired comparisons across 40 code-navigation tasks'
);
await expect(page.locator('.evaluation-results')).toContainText('23% higher');
+ await expect(page.getByRole('link', { name: 'CoIR code-retrieval benchmark ↗' })).toHaveAttribute(
+ 'href',
+ 'https://github.com/CoIR-team/coir'
+ );
await expect(
page.getByRole('link', { name: 'TokensToGold methodology and scoring code ↗' })
).toHaveAttribute('href', 'https://github.com/noodlbox/tokens-to-gold');
diff --git a/src/routes/+page.svelte b/src/routes/+page.svelte
index a262527c..cdf1f871 100644
--- a/src/routes/+page.svelte
+++ b/src/routes/+page.svelte
@@ -363,7 +363,15 @@
21.8.
- Public retrieval-benchmark reference:
+ Public retrieval-benchmark references:
+ CoIR code-retrieval benchmark ↗,
+ our benchmark methodology (January 2026) ↗, and
TokensToGold methodology and scoring code ↗. The Context Engine figures above come from our separate agent A/B evaluation.
From 699cecc14733e646a0f423f586a4901070d63d90 Mon Sep 17 00:00:00 2001
From: John Donalson
Date: Sun, 18 Oct 2026 22:51:50 -0400
Subject: [PATCH 2/2] copy: distinguish adaptive learning from fixed benchmark
snapshots
---
src/routes/+page.svelte | 6 +++++-
1 file changed, 5 insertions(+), 1 deletion(-)
diff --git a/src/routes/+page.svelte b/src/routes/+page.svelte
index cdf1f871..3df6ceaa 100644
--- a/src/routes/+page.svelte
+++ b/src/routes/+page.svelte
@@ -325,7 +325,7 @@
Self-Learning
- Gets smarter as you search
+ Adapts from feedback when enabled
@@ -362,6 +362,10 @@
from 52.2% to 64.3%. Average tokens decreased from 1.01M to 0.88M and tool calls from 25.5 to
21.8.
+
+ With learning enabled, retrieval adapts as feedback accumulates. These measurements capture
+ the tested model, configuration and sessions.
+
Public retrieval-benchmark references: