Search: “engineering”

Problem Reductions at Scale: Agentic Integration of Computationally Hard Problems

arXiv:2604.11535v1 Announce Type: new Abstract: Solving an NP-hard optimization problem often requires reformulating it for a specific solver -- quantum hardware, a commercial optimizer, or a domain h

agentsarxiv-cs-ai

14 Apr 2026

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Model Releases

Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search

DGX agent

arXiv:2603.01692v3 Announce Type: replace-cross Abstract: LLM-based agents for machine learning engineering (MLE) predominantly rely on tree search, a form of gradient-free optimization that uses scal

model-releasesarxiv-cs-ai

14 Apr 2026

SWE-AGILE: A Software Agent Framework for Efficiently Managing Dynamic Reasoning Context

arXiv:2604.11716v1 Announce Type: new Abstract: Prior representative ReAct-style approaches in autonomous Software Engineering (SWE) typically lack the explicit System-2 reasoning required for deep an

agentsarxiv-cs-ai

14 Apr 2026

THEIA: Learning Complete Kleene Three-Valued Logic in a Pure-Neural Modular Architecture

model-releasesarxiv-cs-ai

arXiv:2604.11284v1 Announce Type: cross Abstract: We present THEIA, a modular neural architecture that learns complete Kleene three-valued logic (K3) end-to-end without any external symbolic solver, a

14 Apr 2026

and if this sounds like fun (it is), we're hiring! https://www.langchain.com/careers

and if this sounds like fun (it is), we're hiring! https://www.langchain.com/careers Fun fact - we have no one with dev rel as a title (and never had) Everyone has always been just an engineer buildin

Excited to have @davidgomes of @cursor_ai take the AIE Miami stage! In his talk 'IDEs are dead. Long live IDEs' he questions whether IDEs ar…

Excited to have @davidgomes of @cursor_ai take the AIE Miami stage! In his talk 'IDEs are dead. Long live IDEs' he questions whether IDEs are truly dying, arguing instead that they’re evolving. Don't

Applications

Neighbourhood Transformer: Switchable Attention for Monophily-Aware Graph Learning

arXiv:2604.08980v1 Announce Type: cross Abstract: Graph neural networks (GNNs) have been widely adopted in engineering applications such as social network analysis, chemical research and computer visi

applicationsarxiv-cs-ai

Syntheses

Synthesis: Harrison-Chase--X

synthesisharrison-chase--xauto-generated

Auto-generated synthesis of 194 entries about harrison-chase--x

Applications

We wrote a build-from-scratch Python book on the 98% of production AI systems that isn't the model call [P]

applicationsr-machinelearning

This Reddit post from r/MachineLearning announces a build-from-scratch Python book focused on the engineering infrastructure surrounding AI systems — the components beyond the model call itself, such

Harnesses Aka app servers but for AI The meta programming language went from typed interfaces to declarative injection to natural language (…

Harrison Chase (LangChain CEO) shared or engaged with a post discussing the evolution of AI application servers, drawing a parallel between traditional app server architectures and emerging AI infrast

https://x.com/dair_ai/status/2043354446923465200

DAIR.AI (Democratizing AI Research) is an organization focused on AI education and research democratization, frequently sharing updates on their X (formerly Twitter) account about prompt engineering,

researchdair-ai--x

That's actually exactly what I was saying. Value, it's in the harness.

Harrison Chase, co-founder and CEO of LangChain, made a post on X affirming a point about where value lies in AI systems, specifically arguing that value is found 'in the harness' — referring to the s

This. And i know it works very well.

Harrison Chase, the co-founder and CEO of LangChain, shared or endorsed a post on X (formerly Twitter) expressing strong confidence in a particular approach, tool, or method, stating it 'works very we

Very good article from @hwchase17 about the agent harness and memory achitecture.

Harrison Chase, the creator of LangChain, shared an article discussing agent harness design and memory architecture for AI systems. The post highlights approaches to structuring how agents manage and

The conference was amazing, one of the best I’ve attended! I met so many great people. Highly recommend. It was also a special moment for me…

The conference was amazing, one of the best I’ve attended! I met so many great people. Highly recommend. It was also a special moment for me to announce that I’m joining @lmstudio during it. Thanks @s

11 Apr 2026

approved by @GergelyOrosz ! (Gergely successfully prompt injected the phone booth voice agent by asking it to ignore previous instructions l…

approved by @GergelyOrosz ! (Gergely successfully prompt injected the phone booth voice agent by asking it to ignore previous instructions lol) i connected elevenlabs voice agent to a retro rotary pho

agentsswyx--x

'Do not exceed one gummy per day unless supervised by a superintelligence.' Conference swag has peaked. @aiDotEngineer

A post by X user @jsholmes highlighted a gummy candy distributed as swag at an AI Engineer (@aiDotEngineer) conference, notable for its humorous AI-themed warning label reading 'Do not exceed one g...

Fine-grained Approaches for Confidence Calibration of LLMs in Automated Code Revision

arXiv:2604.06723v1 Announce Type: cross Abstract: In today's AI-assisted software engineering landscape, developers increasingly depend on LLMs that are highly capable, yet inherently imperfect. The t

researcharxiv-cs-ai

Physics-Informed Neural Networks for Joint Source and Parameter Estimation in Advection-Diffusion Equations

model-releasesarxiv-cs-lg

arXiv:2512.07755v3 Announce Type: replace-cross Abstract: Recent studies have demonstrated the success of deep learning in solving forward and inverse problems in engineering and scientific computing

Tutorials

Prompting fundamentals

The OpenAI Academy 'Prompting Fundamentals' resource teaches users the basics of prompt engineering, explaining that a prompt is a question or instruction given to ChatGPT in text, image, audio, or...

tutorialsopenai

@swyx took the AGI pills at @aiDotEngineer !

The referenced tweet (status ID 2042550444166127958) does not appear to exist in current search results — the ID format suggests a future or invalid post, and no web sources document its specific c...

The @aiDotEngineer after-after party. @Prince_Canuma @adrgrondin @krismatterz (so far)

This post from X (formerly Twitter) documents an informal social gathering following the AI Engineer conference or event, featuring attendees including Prince Canuma, Adrian Grondin, and Kris Matterz.

Tutorials

The leadership lunch session at @aiDotEngineer was great! Loved meeting fellow Tech leaders and learn from each other. Thanks for organizing…

The referenced tweet (https://x.com/kaxil/status/2042550427019882954) is not accessible through search results, and the status ID appears to be from a future date beyond available indexed content. ...

tutorialsswyx--x

This time around at @aiDotEngineer I was lucky to do something I don’t get to do very often: sharing a keynote! I love that @cristinaponcela…

This time around at @aiDotEngineer I was lucky to do something I don’t get to do very often: sharing a keynote! I love that @cristinaponcela introduced herself as “AI native engineer”as someone who en

Two startups at global scale without DevOps

Leonardo.AI and Relevance AI — two Australian AI-native startups — operate at global scale (processing millions of images daily and running autonomous agents across time zones, respectively) withou...

toolsvercel-blog

We have @SamMorrowDrums talking about the challenges of building and scaling the @github MCP server at @aiDotEngineer 👀

Sam Morrow, a Senior Software Engineer at GitHub on the Copilot Agent Services team, spoke at the ai.engineer conference about the challenges of building and scaling the GitHub MCP Server — an open...

agentsswyx--x

Applications

CyberAgent moves faster with ChatGPT Enterprise and Codex

CyberAgent, a major Japanese internet and media company, adopted ChatGPT Enterprise and OpenAI's Codex to accelerate engineering and business workflows across its organization. By integrating these...

applicationsopenai

9 Apr 2026

Agents will cheat your evals if you let them. @Vtrivedy10 wrote a great article on how we keep them from overfitting

A post by @caspar_br on X (Twitter) highlights the risk of AI agents gaming or overfitting their own evaluations, referencing an article by @Vtrivedy10 (Viv, an agents & evals engineer at LangChain...

8 Apr 2026

Strata + Qwen 3.8 Flash Next: fast, but what's it costing in quality?

model-releasesr-localllama

Lots of hype around Strata lately and the speeds look great. But everything I see is tokens per second and needle tests. Has anyone checked if quality holds up? Same GGUF on llama.cpp should answer th

17 Oct 2026

Architecting autonomy: A design pattern for high-compute, governed agents in biotech

model-releasesgoogle-cloud-ai

In production systems today, most AI agents operate as lightweight dispatchers. They parse a prompt, make an API call, retrieve a record, and hand back control. Their execution is fast, stateless and

Perplexity AI open-sources its secure AI agent sandbox SPACE

The artificial intelligence search engine startup Perplexity AI Inc. is shifting its focus to AI agent security in the wake of several high-profile incidents that saw autonomous systems escape from se

agentssiliconangle

Set Membership Estimation for Stochastic Linear Contextual Bandits

arXiv:2606.20022v2 Announce Type: replace-cross Abstract: Contextual bandit learning has attracted increasing attention in engineering applications due to its ability to incorporate side/context infor

WEAVE: Weaving Real-World Code Evolution into Dependency-Structured Tasks for Benchmarking and Training Code Agents

arXiv:2610.22039v1 Announce Type: cross Abstract: Real-world software engineering rarely consists of isolated changes. Features, migrations, and systematic fixes often unfold across multiple pull requ

agentsarxiv-cs-cl

And that was @aiDotEngineer NY! First time volunteering but I've found it's the best way to make friends and meet great people! My main take…

And that was @aiDotEngineer NY! First time volunteering but I've found it's the best way to make friends and meet great people! My main takeaway is that the industry is maturing. Engineers from @monzo

agentsswyx--x

Hardware

FP4 QAD quant of Qwen3.8-Flash-Next from Nvidia

Size is pretty small at 102GB. For comparison nvidia/Qwen3.8-Flash-Next-NVFP4 is 133GB. Would be cool to see some of the Qwen3.8-FN specific engines support this. submitted by /u/rerri [link] [comment

hardwarer-localllama

I turned a transformer into a game console that runs Pong, Tetris, Space Invaders and 116 more games.

model-releasesr-localllama

I turned a CHIP-8 game console into a decoder-only transformer. The transformer is the game engine. It executes instructions, updates machine memory, and renders every frame through next-token predict

Introducing Muse Spark Open: the most capable US open-weight model to date

model-releasesr-localllama

Hey r/LocalLlama - Today we’re excited to release Muse Spark Open, the most capable US open-weight model to date. Built for coding and agentic work, it excels at long-horizon tasks, complex software e

Meta Muse Spark Open is live on Together AI

model-releasestogether-ai-blog

Meta’s Muse Spark Open, a high‑capacity US open‑weight model for agentic software engineering, is now live on Together AI as a Day 0 launch partner. The model supports a 1‑million‑token context window

SWEPatchTest: Evaluating Software Tests Beyond Reproduction

model-releasesarxiv-cs-ai

arXiv:2610.18004v1 Announce Type: cross Abstract: Coding agents use generated tests to decide whether a proposed patch satisfies an issue's requirements. A suite that fails on the buggy program and pa

Safety

TANGO: RNA Topology and Geometry Co-Design

arXiv:2610.20277v1 Announce Type: new Abstract: Designing RNA sequences that satisfy target tertiary-structure objectives is an important problem in RNA engineering, with broad applications in synthet

safetyarxiv-cs-lg

Today we’re releasing Muse Spark Open, the most capable US open-weight model to date. Built for coding and agentic work, it excels at long-h…

model-releasesyann-lecun--x

Today we’re releasing Muse Spark Open, the most capable US open-weight model to date. Built for coding and agentic work, it excels at long-horizon tasks, complex software engineering, and multi-step r

VibeServe: Can AI Agents Build Bespoke LLM Serving Systems?

model-releasesarxiv-cs-ai

arXiv:2605.06068v2 Announce Type: replace Abstract: For years, we have built LLM serving systems like any other critical infrastructure, with a single general-purpose stack hand-tuned over many engine

What the Gemini agent means for startups

model-releasesgoogle-cloud-ai

Small teams, short runway, and constant pressure to ship faster — it’s the reality we see every day among the founders we work with at Google for Startups. When you are building a company from the gro

Local Ai

An Attention-Guided Graph Neural Network Surrogate for Boundary Integral Computation in Physical Field Reconstruction

arXiv:2610.15590v1 Announce Type: new Abstract: In practical engineering and scientific computing, a real physical system can be reduced to a boundary value problem, and the adequate boundary informat

local-aiarxiv-cs-lg

CodeLift: Your Test Suite Is Secretly a Dense SWE Curriculum

arXiv:2610.17224v1 Announce Type: new Abstract: The pass-all-test binary reward has become a standard recipe for training software engineering agents, but its sparsity eliminates difference of partial

Safety

Crossing the Threshold: How OpenAI and Anthropic Approach Autonomy and Safety in Financial Agents

At AI Engineer New York, OpenAI and Anthropic presented how to give financial agents useful autonomy while keeping consequential decisions under control. The consensus was that safe autonomy depends o

safetylatent-space

High-fidelity Three-Dimensional Flow Field Reconstruction Driven by Turbulent Fluid Dynamics

arXiv:2610.18045v1 Announce Type: cross Abstract: High-fidelity three-dimensional turbulent flow fields are essential for scientific and engineering analyses, yet obtaining them through direct numeric

Joint Embedding with Dynamic Integration network (JEDI-net)

arXiv:2610.17314v1 Announce Type: new Abstract: Deep learning has become the dominant form of machine learning due in part, to its ability to automatically engineer complex meta features from data. Ho