Knowledge catalogue
Live now: our Inference Engineering Track from AI Engineer World's Fair 2026. A benchmark tool told to run 200 queries a second that ran 38 and reported 200. A model that answered one prompt in a thou
Agentic coding lets developers—even those who previously focused on front‑end or mobile work—delegate code generation to AI agents and assume broader full‑stack roles. However, understanding core soft
A sophomore engineering student built a platform, landed corporate sponsors, and started a company. In three weeks. 🚀🤯 Engineering students have no way to build in public and get noticed by companies.
calling it now FDE -> ODE -> PDE the existence of Forward Deployed Engineering and now Ordinary Deployed Engineering implies that the next pokemon evolution is Partial Deployed Engineering Anthropic,
Cognition is partnering with @MercedesBenz to accelerate software engineering across their global engineering teams, representing one of the most extensive deployments of AI software engineering in th
AI-native software engineering teams operate very differently than traditional teams. The obvious difference is that AI-native teams use coding agents to build products much faster, but this leads to
Loop engineering has emerged as a new skill for AI engineers But there is very little research measuring how effective it is. The best results on full tasks in a new benchmark is ~25%. LoopArena from
Anthropic’s CEO says software engineering is dying. Anthropic’s job listing has 70 open positions in software engineering. 🙄 @GaryMarcus https://www.anthropic.com/careers/jobs 70 opened position in SE
Software engineering legend @Grady_Booch re Dario: I think that @DarioAmodei does not understand software engineering and that he is working feverishly to pump up the valuation of his company in antic
Live now: our Harness Engineering Track from AI Engineer World's Fair 2026. Ports, proofs, kill switches, and what is left of an agent when you remove the model. Thesis: when an agent breaks in produc
I gave a talk on forward deployed engineering to a thousand AI engineers at @aiDotEngineer World's Fair. A year ago I'd have opened by explaining what FDE stood for. Not this time. Thank you to @swyx,
// Unfolding Sub-Agents for Long-Horizon ML Engineering // Watch a single agent work a machine learning engineering task for six hours you see issues like context fills with stack traces, dead experim
Grok groks engineering. Next month’s release will be another step-change improvement, as we close the loop on solving real-world engineering problems at Tesla, SpaceX, Neuralink and Boring Company. Gr
Loop engineering refers to an iterative approach to AI system design that combines prompt engineering with robust system architecture, emphasizing that effective AI applications depend equally on how
langchain is one of the few teams that actually explains the engineering behind agent concepts instead of just naming them. loop engineering, managed agents, memory systems. every time a new concept d
Harrison Chase compares LangSmith Engine to Tesla's 'Full Self-Driving' moment, suggesting it represents a significant advancement in AI engineering capabilities and automation. The post indicates Lan
Harrison Chase, co-founder of LangChain, has shared perspectives on X (formerly Twitter) distinguishing 'harness engineering' from traditional prompt engineering, suggesting a conceptual evolution in
Harrison Chase, co-founder of LangChain, argues that while prompt engineering is foundational and can get you 80% of the way to a functional AI system, the remaining 20% of engineering effort involves
// HASTE: tiered skills for ML engineering agents // Why do ML engineering agents keep rediscovering the same techniques on every new task? Because each competition is a cold start. New research intro
context engineering docs for agentic engineering - plans, research, etc SHOULD NOT be stored in version control: A good docs management system keeps them: > outside your repo > accesible to agent via
This is what the AI engineering ecosystem looks like in one room. 60+ Gold Sponsors are joining us at AI Engineer World's Fair, spanning infra, inference, agents, data, eval, and observability. The wh
hilarious how all the objections to this post about how elon understands engineering better than science point to elon’s engineering accomplishments, rather than his (meager) record of scientific inno
Today in AI Engineering (May 17) • Nous Research ships Hermes Agent v0.14.0: Grok subs, Codex runtime, Windows beta • LangSmith Engine releases trace issue clustering, drafts PRs and evals from prod t
Is agent harness engineering the new prompt engineering? @LangChain co-founder and CEO, @hwchase17, joined us at #GoogleCloudNext to explain why the 'harness' is the secret to moving AI agents from a
This post likely discusses techniques and methodologies for building AI agents capable of performing AI engineering tasks, such as code generation, model optimization, or system design. It probably co
fun off-the-cuff harness + agent engineering sesh with @dexhorthy @vaibcode @GeoffreyHuntley - a lot of good harness/agent design we’re doing today is still good context engineering, remember tool cal
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
As AI agents accelerate coding, what is the future of software engineering? Some trends are clear, such as the Product Management Bottleneck, referring to the idea that we are more constrained by deci
Very interesting to see @JeffDean's pitch deck. Just look at those open science and engineering problems. Lots to advance there with automated ML engineering. AI for science and engineering is just ge
if you have been following his excellent work, @shloked has been breaking down every frontier labs' harness engineering for the last few months. excited to publish his deepest dive into ChatGPT yet as
🆕 5 Trends That Defined AI Engineering at World’s Fair 2026 https://latent.space/p/aiewf26trends @ricmac's big recap of @aidotengineer: 1. The focus shifts from agents to systems 2. Loop engineering i
Engineering Is Magic is a post shared on X (formerly Twitter) referencing Elon Musk's well-documented enthusiasm for engineering and technological innovation. The content likely celebrates a remarkabl
Harness Engineering Derived from what Models can’t do alone: It feels like a good time to step back and reshare some basic mental models for why harnesses exist in the first place - working backwards
This 1 hour workshop on context engineering will help you build agents that hold long conversations and cut your token cost by up to 90%. Last month we gave it live at the AI Engineer World's Fair 202
“Loop engineering” is a hot buzzphrase after mentions of it by Boris Cherny (Claude Code’s creator) and Peter Steinberger (OpenClaw's creator) went viral on social media. Loops are now a key part of h
Satya is spot on. The interesting engineering problem isn’t just making models behave, it’s building systems that don’t need to trust them in the first place. We’re working on some pretty fun problems
great intro to agent harnesses and harness engineering! Is agent harness engineering the new prompt engineering? @LangChain co-founder and CEO, @hwchase17, joined us at #GoogleCloudNext to explain why
Raptor 3 is engineering art Raptor 3 is engineering black magic SpaceX’s Raptor is the FIRST full-flow staged combustion engine to ever fly - only the 3rd ever built (after the Soviet RD-270 and the 2
🆕 Harness Engineering: How to Build Software When Humans Steer, Agents Execute https://www.youtube.com/watch?v=am_oeAoUhew @_lopopolo is one of the emerging class of token billionaires at @OpenAI, and
@_lopopolo @aiDotEngineer @badlogicgames Harnes Engineering talk: https://x.com/aiDotEngineer/status/2044937501593460773?s=20 🆕 Harness Engineering: How to Build Software When Humans Steer, Agents Exe
Qodo 3.0 makes a statement: Engineering teams want to build their own software factory, not buy a black box. @QodoAI provides the quality, governance, plus a map of your software and your team’s triba
Jensen expressing hope, but what if we just don’t have an adequate engineering solution in view? What if LLMs just aren’t a stable enough foundation? Then what? 🇺🇸 Jensen Huang's pessimism about rogue
🆕 Context Engineering in 2026: Compaction, Memory & Cost https://www.youtube.com/watch?v=WP3hjUXd918 @Whats_AI, @samridhivaid and @omar_solano1 return! This workshop is about engineering the context w
really grateful to @realbasilchatha for helping me curate a survey of the entire field of Forward Deployed Engineering in one track! From FDE 101 by @zkevinbai (Anthropic, Palantir, Rippling Founding
Strong Opinions, Loosely Held on Agent + Harness Engineering: 1. You can outperform any default harness+model (including codex & claude code) on pretty much any Task by engineering the harness around
One of the best @latentspacepod shows and Substack with @_lopopolo @OpenAI and @swyx focused on harness engineering, rethinking processes from first principles, and scaling with AI systems. https://su
Malware reverse-engineering: solving an out-of-distribution investigation task. When faced with an unknown binary, Mistral Large 4 reverse-engineers it end-to-end. In this case, it concludes the sampl
the reason i'm excited about decision models: agentic systems are just good engineering around models. 'build prod, not god' these types of fast, cheap & accurate models are super important for that t
Not all harnesses are created equal. And there is no one-size-fits-all. A good harness should solve your context engineering problems. Understanding and optimizing lower-level details like system prom
I am bullish on centralized context in agentic engineering to steer what AI produces, in a way that reduces ai slop potential across the sdlc. To bring in engineering context, I need integrations conn
Talked with a few folks inside of AI labs (OpenAI, Anthropic) about what they think of the future of software engineering. The “closer” to shipping production code engineers are, the less they believe
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
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