Search: “engineering”

We've expanded the Beta to many more people. Go to https://x.ai/cli to give it a try. Our entire engineering team will be responding to (and fixing) any issues you encounter, so please share feedback

note that @jeffBezos is not betting on chatbots, but rather focusing on domain-specific tools for engineering, which is also something I would encourage. the financial story for what he is doing may b

Our database and data engineering expert @yoniebans made some major improvements to the way sessions are stored and accessed. This will save something like 20-40% of the disk space used by Hermes Agen

Many AI agents in finance rely on extremely high quality context engineering from documents 📑 They can be roughly divided into two categories: 1️⃣ Repetitive, operational work common in back-office us

Key ideas I picked up at the @LangChain conference this week: 'AI engineering is data science. Look at your data.' — @sh_reya & @HamelHusain 'Data strategy *before* agents.' — @AndrewYNg 'Coding agent

SmithDB is a feat of engineering. A new database for a new data shape Huge work from @ankush_gola11 and team We built SmithDB: the database purpose built for agent observability workloads that now pow

After months in stealth, my co-founder @helloericsf and I are finally sharing @cimentoai with the world. 🌎 AI changed social engineering. Attacks are now personalized, convincing, and cheap to generat

Coming up at Interrupt: 🎙️ How @clay scales their GTM Engineering agents with Head of AI @JeffBarg. 🎙️ @ummadisetti and @kordelfrance on how @Toyota Motor North America equipped 56,000 employees with

You will know that the AI labs believe in ASI when they disband their newly formed consulting (sorry “forward deployed engineering”) groups. As long as people are required to figure out how AI is usef

Agent engineering is hard Deep Agents hides a lot of the weird systems complexity, but still gives you more room to customize the harness than almost any agent SDK I've used This is harder to build th

I have one big problem with agentic engineering: I want agents to operate autonomously, but I also want granular, reversible control over every change they make. I could solve this by committing every

To be clear, I meant 'idea' in the context of science and engineering, in particular AI, as in 'theory' or 'invention', like a new theory of cognition or an idea for a new ML approach. I thought that

This means that agentic coding isn't exactly a replacement for software engineering. It is a fundamentally different way of producing software, with different best practices and different use cases. J

Elon Musk praised the Starlink engineering and production teams for their work and visited the production facility to observe operations firsthand. The post appears to be a positive acknowledgment of

New #YAAP episode out now 🎙️ @yuvalinthedeep sits down with @mikegchambers from @awsdevelopers to unpack harness engineering and why it's the reason most agents never make it to production. 🎧 Listen/W

I was talking with @josephruscio on the @heavybit podcast the other day when I realized that vibe coding and agentic engineering have started to blur a bit in some of my work - I published some extrac

everyone would have a deeper appreciation for Agent Products that rock because of great Context/Harness Engineering if they… talked to: - LLM Base models - Post-Trained models with no harness (no tool

Security remediation is an engineering capacity problem. AI has collapsed the time to exploit, but defensive tools haven’t kept up. Today we’re introducing Devin for Security: a set of workflows for r

deepagents you can run with a 'virtual filesystem' lets do lots of great context engineering tricks, without requiring an actual sandbox environment! @hwchase17 Where there's struggle is all of these

Ha love to see this port of flue to python Harness engineering is a fun time! Need more people exploring! 🎉Introducing PyFlue: The Python-Native Agent Harness Framework.🧰 💡Flue for Python: Fred K. Sch

For the past few years, humans have been doing “prompt engineering” to coax the best performance out of different LLMs. In this work, we explored what happens if we train an AI to do that job instead.

stoked that we'll have the legend @thsottiaux speaking at @aiDotEngineer singapore! @thsottiaux is the engineering lead on @OpenAI 's codex app, and famously resets the tokens. can't wait to have you

🆕 Shopify's AI-Native Engineering: 100% adoption, unlimited tokens, Tangle, Tangent, & SimGym https://www.latent.space/p/shopify @Shopify CTO @MParakhin explains why near-universal AI adoption is chan

Kimi K2.6 demonstrates strong long-horizon coding in complex engineering tasks: Kimi K2.6 successfully downloaded and deployed the Qwen3.5-0.8B model locally on a Mac. By implementing and optimizing m

Tesla engineering redesigned lithium refining from physics first principles Our Lithium Refinery is designed to have a much lower carbon footprint than traditional hard rock refineries – Acid-free ref

Codex Compute is a service promoted as offering reliable, always-available computing infrastructure with strong engineering capabilities and an application that extends functionality beyond traditiona

deepagents now supports structured output for subagents! an under appreciated piece of context engineering is figuring out what context is passed back from subagents to the main agent. now you can def

This post completely misses the point of @sarahwooders 's original article. The whole point is that memory == context engineering, so it can't be a 'thin conductor'. Saying 'memory is just markdown' t

On software engineering: → 56.22% SWE-Pro, matching GPT-5.3-Codex → 55.6% VIBE-Pro — full-stack project delivery → SWE Multilingual: 76.5 For agentic work: → Multi-agent collaboration built into the m

Thank you @aiDotEngineer for packing out the keynote audience to see my boxes/learn why engineering skills still matter I had to dash off straight away so if there was a question you wanted to ask, as

Self-improving agents isn’t a single algorithm - it’s a systems engineering problem involving: - eval data curation + maintenance - experiment design to battle overfitting - an update algorithm - huma

Grok 4.5 is a new Opus-class AI model released by xAI that offers improved speed and cost efficiency compared to previous versions. The model is positioned as particularly well-suited for real-world c

This article from LangChain explores the architectural components and design principles of agent harnesses, which are systems that manage the execution and behavior of AI agents. The piece likely cove

Harness EngineeringからRSIへ AI自身がAIをつくり、改善していく──再帰的自己改善（RSI）はどのように実現するのでしょうか。この問いに対して、Thinking Machines Lab 共同創業者の Lilian Weng 氏（@lilianweng）が、モデルを取り巻く実行系＝「ハーネス」の設計こそが現実的な出発点だと論じる ブログ記事を公開しました。RSI周辺の研究が

As of yesterday, we made everyone within @llama_index research/engineering/product a Member of Technical Staff. Yes all the frontier labs have done this for years. But we didn’t only make these change

Agentic coding changes what inference engines need to handle. At AI Engineer World’s Fair, Together AI engineers will lead a hands-on workshop on how inference engines work and what it takes to serve

One of the new, buzzy jobs in Silicon Valley is the AI Forward Deployed Engineer (FDE), an engineer who is embedded within a client organization to help customize solutions, such as building and tunin

Big step forward for Engine! Some things I'm excited about in this release that we've shipped for our most avid users: - Engine now points more obviously to the issue in a trace. Engine identifies and

how inference engines actually work - releasing full talk slides! i cover everything in the lifetime of a request e2e: > the inference engine > kv + prefix caching > continuous batching > paged attent

We're excited to announce our AI Engineer New York speaker lineup! Presented by @arizeai CEO @ExaAILabs CTO @tryramp CEO @ValsAI CEO @RogoAI CTO @modal CEO @trybasis CEO @SonarSource CEO @runwayml CTO

We’ve developed our own inference engine Runtime-Optimized Serving Engine (ROSE) to serve models ranging from embeddings to trillion-parameter LLMs. With CuTeDSL integrated into our inference engine,

Raptor 3: The Most Advanced Rocket Engine Ever Raptor 3 is SpaceX’s latest evolution — the best rocket engine ever made. Key upgrades: • No external heat shield (full regenerative cooling) • Record th

A group of incredibly talented and dedicated engineers made Cybercab happen. If you want to join them, we’re hiring AI engineers across the board: scaling, data, RL, reasoning, evals, world models, au

We're releasing the full slides for our 2 hr deepdive session from the AI Engineer World's Fair. We covered how we build inference engines to serve agentic workloads at trillion token production scale

Has been a blast shipping Engine!! We built engine to automate the agent development loop, and make agents that improve autonomously. Absolutely cracked team shipping at light speed to create the futu

Come hang out with AI engineers, tech leads, and the Fireworks team during AI Engineer 2026. Want to leave with hands-on experience fine-tuning, evaluating, and deploying a model on Fireworks? Bring y