From previous discussions (https://news.ycombinator.com/item?id=46592643), seems like Semaphore CI still offers that. newsoftheday 3 months ago | parent ...
Large language model (LLM) applications such as agents and domain-specific reasoning increasingly rely on context adaptation: modifying inputs with instructions, strategies, or evidence, rather than weight updates. Prior approaches improve usability but often suffer from brevity bias, which drops do...
A first-class tenant model is no longer optional. Developer platforms succeed when boundaries are real and enforced, not implied or assumed.
Set up AutoClaude with Python 3.12+, Git, and an API key, then run long autonomous sessions that free your time and reduce rework.
I am afraid that kind of jobs were already over by 2015. There are no code website makers available since then and if you can't do it yourself you can just pay ...
... than before. [0] https://news.ycombinator.com/item?id=46527722 · bjacobso 3 months ago | prev | next [–]. https://www.youtube.com/watch?v=aueu9lm2ubo · vrosas ...
For detailed information, see the request flow documentation. GPU Resources and LLM Inference¶. Knative Serving can leverage Kubernetes pod capabilities to ...
Documentation for writing Promise Workflows using Kratix Pipelines, covering how Kratix internally executes the Pipeline containers
Overview
https://news.ycombinator.com/item?id=46397609 https://news.ycombinator.com/item?id=46398115 https://nan-falcon.exe.xyz. I'd also note that OpenCode is a ...
Documentation that lists a number of well known Annotations, that have defined semantics. They can be attached to catalog entities and consumed by plugins as needed.
*Every effective AI agent is built on one foundation:
A deep understanding of the 4 memory types.
In a real system, memory isn’t a single component... It’s a layered architecture.
Each layer serves a different purpose, with varying levels of persistence, speed, and proximity to the model's rea...
Happy New Year, and Welcome to Gas Town!
It hogs RAM like always, but I still love it.
*🎙️ Join Dave Farley as he discusses the transformative power of Continuous Delivery in software development. In this presentation, you'll learn from real-world examples, understand how high-performing organizations prioritize innovation, explore automation for rapid updates, and gain insights into...
A brutally honest case study of building our vertical AI agent and shipping it to production.
This post is written by Anton Aleksandrov, Principal Solution Architect, AWS Serverless and Rajesh Kumar Pandey, Principal Engineer, AWS Lambda AWS Lambda is a highly scalable and resilient serverless compute service. With over 1.5 million monthly active customers and tens of trillions of invocation...
I’ve ditched the "drag-and-fill" habit for a cleaner, automated approach to my daily reporting.
[1]: https://github.com/markqvist/Reticulum?tab=License-1-ov-file... [2]: https://news.ycombinator.com/item?id=43384196 · kstrauser 3 months ago | parent ...
*🚀Stanford just completed a must-watch for anyone serious about AI:
🎓 “𝗖𝗠𝗘 𝟮𝟵𝟱: 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿𝘀 & 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀” is now live entirely on YouTube and it’s pure gold.
If you’re building your AI career, stop scrolling. This isn’t another surface-level overview. It’s the clearest, most structur...
Introduction
Some years ago I delivered a talk at SwitchON in Stockholm. At the conference I got to deliver my talk “Value Driven Technical Decisions in Software Development” for the first time in public.
Abstraction of configuration through parameterization and encapsulation of configuration generators contribute to configuration complexity.
A design pattern is not a rigid structure to be copied directly into source code. Rather, it is a description of and a template for solving a particular type of ...
*Anthropic added LSP (Language Server Protocol) tool to #Claude for code intelligence features: go-to-definition, find references, and hover documentation!
On top of that, /terminal-setup supports now Kitty (my terminal of choice on Kubuntu), Alacritty, Zed and Warp terminals.
*MIT. Stanford. DeepMind. Berkeley. UMich. 8 playlists that teach AI better than most $120k degrees
🎓 Here's the AI Engineering Mix:
1️⃣ MIT 6.S191 - Intro to Deep Learning: https://lnkd.in/gs5Wqzj5 ↳ Fast-track tour of modern Deep Learning. Master everything from the basics of DL to the lates...
A four-step approach.