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Xbox CEO ends Copilot AI development and overhauls leadership

2026-05-05 @ 22:43:47Points: 77Comments: 15

Zuckerberg 'personally authorized' Meta's copyright infringement, publishers say

2026-05-05 @ 22:07:18Points: 146Comments: 5

NPR finds "no sign" of Polymarket at its Panama HQ address

2026-05-05 @ 21:50:21Points: 237Comments: 117

Write some software, give it away for free

2026-05-05 @ 21:26:50Points: 184Comments: 128

Why most product tours get skipped

2026-05-05 @ 21:05:19Points: 103Comments: 91

.de TLD offline due to DNSSEC?

2026-05-05 @ 20:16:35Points: 572Comments: 279

California farmers to destroy 420k peach trees following Del Monte bankruptcy

2026-05-05 @ 18:13:47Points: 300Comments: 355

Show HN: Explore color palettes inspired by 3000 master painter artworks

2026-05-05 @ 18:13:14Points: 135Comments: 50

No signup, no paywall, no email capture. Just curious what people think.

Zuckerberg 'Personally Authorized and Encouraged' Meta's Copyright Infringement

2026-05-05 @ 18:04:25Points: 311Comments: 291

GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents

2026-05-05 @ 17:52:31Points: 129Comments: 27

IBM didn't want Microsoft to use the Tab key to move between dialog fields

2026-05-05 @ 17:28:18Points: 321Comments: 187

Proliferate (YC S25) Is Hiring- 200k for junior engineers

2026-05-05 @ 17:00:16Points: 1

Computer Use is 45x more expensive than structured APIs

2026-05-05 @ 16:34:48Points: 353Comments: 205

Accelerating Gemma 4: faster inference with multi-token prediction drafters

2026-05-05 @ 16:14:17Points: 500Comments: 225

I'm scared about biological computing

2026-05-05 @ 16:03:06Points: 170Comments: 146

EEVblog: The 555 Timer is 55 years old [video]

2026-05-05 @ 15:47:18Points: 256Comments: 64

Three Inverse Laws of AI

2026-05-05 @ 15:27:18Points: 393Comments: 267

Agents for financial services and insurance

2026-05-05 @ 15:05:47Points: 217Comments: 166

Show HN: Airbyte Agents – context for agents across multiple data sources

2026-05-05 @ 15:03:18Points: 106Comments: 27

https://airbyte.com/). We’ve spent the last six years building data connectors. Today we're launching Airbyte Agents (https://docs.airbyte.com/ai-agents/), a unified data layer for agents to discover information and take action across operational systems.

Here’s a quick walkthrough: https://www.youtube.com/watch?v=ZosDytyf1fg

As agents move into real workflows, they need access to more tools (e.g. Slack, Salesforce, Linear). That means a ton of API plumbing: authentication, pagination, filters, handling schema, and matching entities across systems.

Most MCPs don’t fix this. They’re thin wrappers over APIs, so agents inherit their weak primitives and still get it wrong most of the time, especially when working across tools.

An even deeper issue is that APIs assume you already know what to query (think endpoints, Object IDs, fields), whereas agents usually start one step earlier: they need first to discover what matters before they can even start reasoning.

So we built Airbyte Agents to be a context layer between your Agents and all of your data. The core of this is something we call Context Store: a data index optimized for agentic search, populated by our replication connectors. All that work on data connectors the last six years comes in handy here!

This gives agents a structured way to discover data, while still allowing them to read and write directly to the upstream system when needed.

What got us working on this was an insane trace from an agent we were migrating to our new SDK. It was supposed to answer "which customers are at risk of leaving this quarter?" The trace had 47 steps. Most were API calls. The agent first had to find a bunch of accounts, then map them to the right customers, then look for tickets, bla bla... and when the Agent finally responded, the answer sounded ok, but was wrong. Not only that, it was excruciatingly slow. So we had to do something about it.

That 47-step agent is one example of a question where Airbyte Agents does particularly well. Other examples: - “Show me all enterprise deals closing this month with open support tickets." - “Find every support ticket that doesn’t have a Github issue opened”

Some of these might sound simple, but the quality of the answer changes dramatically when the agent doesn’t have to assemble all that context at runtime.

Once we had an early version of the product, I spent a weekend building a benchmark harness to see if it worked. Also for fun, I like writing benchmarks :). I compared calling the Airbyte Agent MCP vs calling a bunch of vendor MCPs directly. I tested retrieval, and search.

For the sake of simplicity, I used token consumption as a unit of measure. I think that’s a good proxy for how well agents are working. A failing agent (like the one that took 47 steps), will churn through lots of tokens while getting nowhere, while a successful one will get straight to the point.

Here's what I found when measuring: for Gong, it used up to 80% fewer tokens than their own MCP, for Zendesk up to 90% fewer, for Linear up to 75%, and for Salesforce up to 16% (Salesforce’s own SOQL does a good job here).

Of course there is the usual obvious bias: we are the builders of what we are benchmarking. So we made the test harness public: https://github.com/airbytehq/airbyte-agents-benchmarks. Feel free to poke at it, and please tell us what you find if you do!

It's still early and some parts are rough, but we wanted to share this with the community asap. We'd love to hear from people building agents: - Are you indexing data ahead of time, or letting the agent call APIs live? - How are you matching entities across systems?

Would also love to hear any thoughts, comments, or ideas of how we could make this better, and if there are obvious things we’re missing. For now, we’re excited to keep building!

iOS 27 is adding a 'Create a Pass' button to Apple Wallet

2026-05-05 @ 12:28:28Points: 398Comments: 297

Today I've made the difficult decision to reduce the size of Coinbase by ~14%

2026-05-05 @ 12:10:24Points: 307Comments: 452

When everyone has AI and the company still learns nothing

2026-05-05 @ 09:30:22Points: 334Comments: 225

Google Chrome silently installs a 4 GB AI model on your device without consent

2026-05-05 @ 07:34:55Points: 1327Comments: 889

Urban Birds Are Rising Earlier Because of Traffic Noise (2013)

2026-05-03 @ 20:02:21Points: 36Comments: 15

Past Ferrari Models, 1947–2023

2026-05-03 @ 18:09:34Points: 23Comments: 7

Underwater robot tracks sperm whale conversations in real time

2026-05-03 @ 16:35:20Points: 57Comments: 16

I completed 100 Days of Java over 5 years and mapped the journey as a graph

2026-05-03 @ 13:25:59Points: 39Comments: 11

The extended predicative Mahlo universe in Martin-Löf type theory

2026-05-03 @ 12:43:12Points: 25Comments: 0

Researchers print structural colour with an inkjet printer

2026-05-03 @ 08:58:50Points: 60Comments: 12

Should I run plain Docker Compose in production in 2026?

2026-04-30 @ 13:21:43Points: 376Comments: 266

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