Search: “engineering”

Full stack engineering refers to the ability of engineers to work across all layers of a technology system, from backend infrastructure and databases to frontend user interfaces and everything in betw

This episode of 'AI That Works' discusses practical approaches to harness engineering in AI systems, likely focusing on techniques for effectively prompting and controlling AI model behavior beyond ma

Ryan Lopopolo, a Member of Technical Staff at OpenAI, posted this tweet inviting people to discuss harness engineering with him in-person at Westminster — referencing his broader work on the topic....

We’re live @aiDotEngineer in London! Order of Play: - @petergostev, AI Capability Lead at Arena AI - @lukeharries, Growth / Engineering @ElevenLabs - @mattzcarey, Agents and MCP at @Cloudflare - @Info

SpaceXAI just literally shared its engineering team’s Grok Bots with everyone And Grok Bots just got much more powerful for building software Bots can now hand off coding tasks directly to Cursor, man

Agent governance is an engineering problem. We’ve built safeguards into Perplexity’s infrastructure, harnesses, and tools, and put them to work across our products. Today we're sharing how we engineer

On FrontierCode 1.1, our benchmark for real-world engineering tasks that grades mergeability and quality, Opus 5 scores 63.6% with a 69.6% pass rate on Extended — approaching Fable 5 at half the cost.

Harrison Chase argues that evaluations (evals) are the most intellectually demanding aspect of agent engineering, distinguishing them from other engineering tasks that may be more routine or formulaic

BREAKING NEWS: Anthropic's latest model will NOT help you if it thinks your ML research/ML engineering is interesting, and/or will secretly degrade its IQ so that the average engineer won't notice. We

At @harvey, the engineering team integrated Spectre — their internal background agent — into Devin Desktop. Now Spectre's organizational context can live on every engineer's laptop and flow across the

Swyx announced an AI Engineering Survey with a raffle offering prizes to encourage participation. The survey appears to be an annual effort to gather data from the AI engineering community, promoted t

It’s the most wonderful time of the year 🎶 The 2026 AI Engineering Survey is live, this year in partnership with @NotionHQ and @vercel. If you’re an engineer working on AI products, we’d love you to f

Thanks @hwchase17 for deepagents, cool harness to play with. Indeed, Harness Engineering is a fun time. Ha love to see this port of flue to python Harness engineering is a fun time! Need more people e

these are some of the heaviest hitters in all of the AI Engineering circuit and this week they will all be in Miami! 🏝️ so proud to be there to support @gabegreenberg and co as they build the first in

proud to see @excalidraw evangelism catching on at cog the insight here is more general than bugchecking: - All Engineering is about making tradeoffs - AI Engineering is about pushing AI Pareto Fronti

Jörg Schad is the VP of Engineering at @pinecone. He joins @kbal11 to discuss moving beyond RAG with precomputed context, context artifacts, semantic layers, and AI retrieval. @joerg_schad https://sof

.@EricJorgenson on why Elon calls engineering magic: 'He's been thinking about these problems since he was in college. As a kid, he was very influenced by sci-fi and thinking about things that are pos

Great move. If you’re building agents, so much time is spent engineering your way through traces. And then comes the hard to rapidly iterate and figure out the changes needed. 🚀Launching: LangSmith En

@jsconfeu @cramforce talk now live! @vercel is doing incredible AI engineering work and it comes direct from the C-suite, this should be more common but it is not, even today https://x.com/cramforce/s

just finished this. genuinely one of the most informative episodes I've heard in a while the future of engineering is changing faster than most people realize. and it's self-managed, self-improving ag

Mistral AI demonstrated a tooling solution for engineering drawings that employs the **Mistral Large** model across **four zoom levels**, automatically inspecting and verifying plan details until an e

Build your own harness, folks. Reading papers like this makes me realize how underexplored harness engineering really is. The authors find that on whole-repository migration, GPT-5.6 Sol goes from 6.5

HuggingFace just closed a major gap in harness engineering! (the ultimate guide to multi-harness RL) the same open-weight model can perform well inside one harness, then lose accuracy or produce inval

Great talk from Yogish Baliga 'From Vim (:wq) to 'You're absolutely right!'' tracing 20+ years of software engineering evolution. Highlights: 1/ open-weight models have closed the gap with closed mode

@TheFalconer2219 @GaryMarcus All sota agentic ai tech use harness engineering and to see how much performance boost (generalization) the harness offers, see the following work from MIT. Transformers s

Harness engineering is a top skill right now This new Meta paper is a good production example. Auto-RecSys runs autonomous research on Meta's industry-scale recommendation models, where one training r

Nice paper from Salesforce on co-evolving harnesses and models. Harness engineering is a hot topic right now. So this is a great read. (bookmark it) Salesforce evolved a harness with a weak model acro

Things getting wild in automated systems engineering. This new work claims to build an AI system that designed and deployed a frontier accelerator. Two human architects wrote the hardware specificatio

We analyzed DeepSeek-V4 Pro 0813 against GPT-5.6 Sol and Fable 5 on software engineering tasks using DeepSWE. DeepSeek-V4 Pro 0813 reaches 88.5% pass@4 while costing 0.24 per task, 35x less than Sol a

Grok places second after Fable on real-world software engineering Grok 4.5 from @SpaceXAI places #2 on the APEX-SWE leaderboard at 51.2% Pass@1 (±6.0), behind Fable 5 (65.5% ±6.2) on our benchmark for

Grok 4.5 is an AI model designed for real-world engineering tasks, with particular strengths in handling large codebases and managing complex, long-running tasks that span multiple repositories. The m

Prompt engineering is costing you money. Learn how to fine-tune your models. Stuffing a lot of text into every single API call slows down your app because the model has to process all those tokens bef

tmrw at @aidotengineer i’ll be exploring history’s most beautiful and fertile minds. i’m calling it Imagination Engineering. i’ve been asking myself how to become an idea factory, as originality becom

Context engineering has its own track at the @aiDotEngineer World's Fair this year. 🎉 I've respected what @swyx ​and the @latentspacepod team have been building for years — and I'm pumped to be a part

Spotify's VP of Engineering Niklas Gustavsson discussed the company's deployment practices, revealing they execute 4,500 production deploys daily and that 73% of pull requests now utilize AI assistanc

As engineering, product, design, DS, etc. melt into a new kind of role, I was reflecting on what roles might look like in the future. For example, when I look at the Claude Code team I see what I thin

For half a century, the 7.6 million pounds of thrust from the Saturn V was the absolute ceiling of human engineering SpaceX is now treating that as a baseline “Starship V3 is more than double the thru

Forward Deployed Engineering is the most critical ingredient for Enterprise AI adoption. It’s why the most important companies on the planet are investing so heavily into it. That’s why we put togethe

In a joint Fireworks and @Faros_AI evaluation of 211 real engineering tasks, Claude Code + GLM-5.2 beat both Claude Code + Opus 4.8 and Codex + GPT-5.5: - Judge score: 0.568 vs. 0.521 and 0.466 - Time

Join our AI recommendations & advertising engineering team! If you have worked on ads in the past, on any part of the stack, and want 10x the impact, please apply here: https://job-boards.greenhouse.i

Continual Learning involves engineering whole systems including Efficient Verifiers to make RL/fine-tuning and running evaluations much cheaper at scale! some initial work we’re releasing from LangCha

// Reusable Context Engineering // Context bloat quietly kills long-horizon runs, but you can fix it from the outside without fine-tuning the underlying agent. (bookmark this) Context management is us

The best way to learn AI is to build with agents. To help with that, we've launched hands-on labs and a new series on Agentic Engineering. First topic: Agent Skills. Next in the pipeline: planning, co

SpaceX's Starship is a fully reusable super-heavy lift launch vehicle designed to be the most powerful rocket ever built, standing approximately 120 meters tall with a payload capacity exceeding 100 m

just got back from my second langchain interrupt conf and honestly it's probably the best AI engineering conference right now. what makes it different is that it's deeply practical. less 'AI will chan

This statement, attributed to Elon Musk, inverts Arthur C. Clarke's famous quote about advanced technology and magic to suggest that exceptional engineering achieves an aesthetic quality comparable to