Stack Overflow blogstackoverflow.blog · 3 September 2026

In this episode, Stack Overflow Director of Platform Engineering Peter O'Connor continues his conversation with Andi Gutmans, this time digging into what changes when you're running dozens or hundreds of agents instead of a handful of humans clicking buttons. Andi explains why he thinks the model itself is rarely the bottleneck anymore. In his view, the harder problem is figuring out the least amount of context needed to get a reliable outcome at the lowest cost, and why "token maxing" is the wrong goal entirely. He also shares how a weekend prototype changed the calculus on de-risking new ideas, and lays out what platform engineering teams need to build to treat "the agent" as a persona in its own right.The discussion also:Breaks down why cost governance matters more at agent scale, where a single employee might be responsible for dozens of agents working around the clock.Covers Google's approach to "hill climbing" model and data together, and why Andi is skeptical of vendors claiming to have solved the context problem.Explores what new tooling and observability platform teams need to bui

Michael Truell, Cursor CEOx.com · 3 September 2026

Grok Bot for enterprise is out today. We're making it free for all Grok and Cursor enterprise customers for the next two weeks. Deploying Bot has felt like onboarding thousands of capable teammates to our company. It is both the most internally adopted and most powerful AI product we've seen so far.

github.comgithub.com · 2 September 2026 · not counted as a party

Show HN: Aura – a Rust agent that investigates and fixes production incidents

r/LLMDevsreddit.com · 1 September 2026

Frank Coyle at UC Berkeley recently gave a talk called "Why Agentic Systems Need Ontologies" (YouTube ID Sir59K8ZDPU). His broader argument is neuro-symbolic: probabilistic LLM plus formal ontology reasoning as guardrail. One memorable line from the talk: "Pydantic at the door, ontology at the ledger". I've been running a lighter, schema-shape ve

Shreya Shankar, incoming CMUx.com · 31 August 2026

https://t.co/pCOIhFgZMG very nice article on the post ai data stack by @iandmacomber . h/t @debnilsur The premise is that now data analysis codegen has become free, so what next? It is getting the data agents to obtain the (1) correct and (2) consistent answers --- which is very hard when data and context is so messy and fragmented. So the job of the data team is to "encode expert judgement into the infrastructure that allows agents to produce correct analysis *without* the data scientist in the room," as Ian says all data products and UIs are going to undergo serious change. business decisions are made not by looking at a dashboard but by asking an agent what to do. on the pipelines/systems

YouTube: AI Engineeryoutube.com · 27 August 2026

All right. Um, welcome everyone to yet another inference talk. I hope you have had a good conference so far. And u, so in this session, I mean I'm sure you people who have been in the room uh must have heard these terms many times by now. So we're going to do a little bit more deep dive into the challenges of LLM deployments for agentic workloads and uh in this session we'll focus specifically on KV cache away routing and uh PD disagregation um and also you know when you when you look at public inference uh benchmark results you are typically looking at very steady state isolated highly sanitized numbers and what those benchmarks actually don't show you u is the chaotic reality of multi-turn interactions, massive context fluctuations which are very typical of agentic workloads. So we'll also try to pull the curtain back on some of those complexities. Um by by way of introduction uh my name is Ashish Kamra. I'm a senior manager of performance engineering at Red Hat. And with me >> hi I'm Yuch Chen. I'm the product manager at Red Hat Inference working closely with VLM and AMD core mainta

Lobsterslucascarlson.net · 27 August 2026 · 2 posts · not counted as a party

August 24, 2026 · Lucas Carlson For a few years I have kept coming back to one idea from Cloudflare's Durable Objects: an object with a name. One single-threaded object per identity, addressed by name, with durable state attached. A shopping cart, a chat room, a game table, a device, a document, an agent run: each one is an object. Calls to one identity run one at a time, so two requests can't corrupt the same cart. Calls to different identities run in parallel. Kenton Varda's team shipped that, and it removes work the rest of us usually do with a database, Redis, a queue, and a pile of locks. I have spent twenty years building that pile of locks, in Rails apps, in Node services, and once, regrettably, in a spreadsheet importer. When the Durable Objects model finally clicked for me, my main reaction was frustration that it only ran on one vendor's edge network. I'm not alone in wanting this. Ryan Dahl's celld recreates the model as a self-hosted daemon: your VMs, your object-storage bucket, the Workers API without Cloudflare. It's a good project. But celld solves it at the infrastructure level, where you run i

Figma blogfigma.com · 26 August 2026

Welcome to Workflow Lab, where we present a sample workflowWorkflow lab: Deploying designs directly with Figma MakeThe handoff from design to code doesn't have to be a one-way street. This workflow shows how a designer can connect a codebase to Figma Make, make the changes directly, and bring the whole team into review—right up to the PR. using Figma products and tools.Workflow fact sheet:Figma products: Figma Design, FigJamTools: Figma MCP server, Code Connect, use_figma, generate_diagram, search_design_system, generate_figma_design, get_variable_defsTeam: Product designer, design systems lead, software engineerQuestion to solve: What if your coding agent’s output could be production-ready sooner?The engineering team at Radicle, a fictional STEM learning app, is moving faster than ever. Work that used to take weeks now takes days, or even hours. Still, this speed isn’t getting them very far; their AI-generated code strays from design specs more often than not. The team gives their coding agent screenshots and dev tickets to work from, but it’s not enough to get the outputs right, and the team gets stuck reworking them.What i

LangChain bloglangchain.com · 26 August 2026 · 6 posts

Today, we’re excited to release a redesigned LangSmith product homepage as well as improved support for resource organization within your workspaces. These updates reflect our ongoing insights into how engineering teams build, optimize, and iterate on their LLM applications. In this post, we will walk through our updated beliefs and how they guided our design.Our approach to redesigning the LangSmith homepageThrough collaborating with thousands of developers and companies, we’ve observed that they work across three main areas when building LLM applications: observability, evaluation, and prompt engineering. To reflect the critical role each plays in an effective developer workflow, we’ve split our LangSmith product homepage into these three areas.ObservabilityThis section in LangSmith includes Tracing Projects and Dashboards.One of the biggest recommendations for AI engineers is to “look at your own data” — and LangSmith enables this by helping users identify issues and understand their LLM application’s performance over time.Tracing Projects are collections of traces emitted from your AI application.

Vercel changelogvercel.com · 26 August 2026 · 60 posts

Python projects can now use routing rules to set response headers or rewrite requests to internal paths, including apps built with FastAPI, Django, and Flask.The Vercel CDN evaluates rules before requests reach your application, so changes apply without a new deployment.For example, this FastAPI app serves a /new route:main.pyfrom fastapi import FastAPIapp = FastAPI()@app.get("/new")def new_route() -> dict[str, str]: return {"message": "New route!"}Defines the /new route the rewrite below targetsTo send requests for /old to that route, create a rewrite from the CDN tab in your project dashboard or with the Vercel CLI:# Add a rewrite (staged automatically)vercel routes add --ai "Rewrite /old to /new" --yes# Review staged changesvercel routes list --diff# Publish to productionvercel routes publishCreating and publishing a rewrite with the Vercel CLIPublished rules take effect immediately across all regions, and you can roll back to a previous version from the History tab.You can also manage rules from Python with the vercel SDK, which wraps the Vercel REST API. add_route stages the rule, and update_route_version publishes it:add_route.pyfrom

YouTube: Sequoia Capitalyoutube.com · 25 August 2026

Parag Agrawal is making a bet that goes against two decades of web search: agents will query the web a thousand times more than humans ever have, and the infrastructure built around human clicks is wrong for them. The former Twitter CEO, now founder and CEO of Parallel Web Systems, explains why Parallel treats human click data as a bug and trains on agent feedback instead. He unpacks the counterintuitive choice to ship a search agent before a search engine, building an index incrementally, and how the new Turbo product cut agentic search to 200 milliseconds. But the problem Parag keeps returni

Cloudflare blogblog.cloudflare.com · 24 August 2026 · 8 posts

You likely noticed the recent redesign of the Cloudflare Blog. We added dark mode, modernized the look and feel, and made a lot of other small improvements along the way.What you might not have noticed – well, except for those who are more terminally online – is that the redesign was part of a much bigger migration project. On Wednesday, August 12, we moved the blog to EmDash, a content management system (CMS) built especially to work on Astro and with Cloudflare.We’ll take you into the migration story – what we learned and how EmDash got better – as well as into the benefits we’re already seeing from a new platform.We are Customer ZeroAt Cloudflare, Cloudflare itself is Customer Zero. This means that we use our products. And – in use – we make them better for ourselves and our customers.This is a very real cultural value at Cloudflare. The burden of proof is on you if you want to use an external vendor. Why can’t that team support you, what gaps are there, why can’t those gaps be filled, and are those “gaps” true requirements?This preference is even enshrined in our internal engineering standards, known as our Codex.We don’t just buil

lambda-symbolics.comlambda-symbolics.com · 20 August 2026 · not counted as a party

Autolith: A programming agent with a live runtime

Supabasesupabase.com · 18 August 2026 · 3 posts

supabase-js now propagates W3C Trace Context to Supabase. Turn it on and the trace_id from your client flows through Supabase's API Gateway and Edge Function logs, so you can follow one request from the browser into your backend logs. Say a frontend trace shows a slow request leaving the browser, and a Supabase log shows the matching request on the server. Up to now nothing connected the two: the SDK made the call, Supabase logged it, and the two records lived in separate systems with no shared identifier. Debugging across that boundary meant lining up timestamps by hand. Now, when tracePropagation is enabled, the SDK attaches three standard headers to requests aimed at Supabase domains: traceparent tracestate baggage Supabase reads the incoming trace context and stamps the same trace_id onto the logs it generates. Any W3C-compliant tracer (OpenTelemetry, Sentry, Datadog, Honeycomb, Grafana) picks the trace back up on the server side. This walkthrough covers supabase-js. Trace propagation is also available in Swift, Flutter, and Python; see the docs for per-language setup and the current list. The SDK doesn't configure OpenTelemetry for you. Yo

GitLabjob-boards.greenhouse.io · 17 August 2026 · 2 jobs

Domain depth in application security, vulnerability management, or security research. You have worked on or adjacent to scanners, detection content, threat intelligence, or SDLC security tooling and you know how these products actually get evaluated in a bake-off. Technical credibility sufficient to earn the respect of a security engineering team. You do not need to have written the scanner, but you should be able to reason about detection logic, data pipelines, CI integration, and the tradeoffs between coverage and noise. Commercial reasoning. You start from revenue mechanics, buyer motion, and competitive displacement, then work inward to product decisions. Candidates who reason only from feature lists outward are not a fit. Evidence of using AI as a force multiplier in your own work: research, analysis, data pulls, prototyping, drafting. Consuming a chat assistant occasionally is not the same as restructuring how you work. Judgment under ambiguity. You bring structured options and a recommendation instead of escalating an open question. Bias for clarity. You can take a noisy, technical, politically contested pro

Renderjobs.ashbyhq.com · 3 August 2026

At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—d

Aakash Guptanews.aakashg.com · 24 June 2026

Check out the conversation on Apple, Spotify, and YouTube. Brought to you by: Ariso - Ship AI agents and features faster, with fewer regressions Bolt - Ship AI-powered products 10x faster Pendo - The #1 software experience management platform Product Faculty - Get $550 off their #1 AI PM Certification: code AAKASH550C7 Customer.io - Send smarter messages using your product data Today’s episode I’ve written about building a PM OS and Team OS in Claude Code. They are my top two most popular pieces of 2026. Today is the upgrade: a company OS that enables even CSMs at your company to ship to production. And this isn’t theoretical. Jiaona Zhang “JZ” is the CPO at Laurel - which raised a $100M Series C - and her company actually runs on a Company OS. They have run into the problems and kinks. They’ve ironed them out. Now, they’re showing what works. JZ is not some “AI purist.” She has led product at Airbnb, Dropbox, Webflow, and WeWork. She’s an AI realist. And in this episode, she doesn’t hold anything back: The Company OS that enables it all How PMs go from product idea to shipped feature with agents How she cond

Databricksdatabricks.com · 23 June 2026

8+ years of product management experience, with at least 3 years on internal platform, infrastructure, or developer-experience products. Deep experience building platforms that other teams build on you understand the difference between a platform and an application, and you have opinions about API design, developer ergonomics, and self service. Demonstrated experience with AI/ML platforms, agent frameworks, LLM-powered applications, or agentic systems. You know what an agent runtime is, what RAG means in practice, and why evaluation is the hardest part. Strong technical foundation you can read architecture diagrams, discuss trade offs with engineers (e.g., sync vs. async, checkpointing strategies, context window management), and make informed prioritization decisions on deeply technical work. Experience defining and shipping developer experiences: SDKs, CLIs, templates, documentation, and self service workflows. You measure success by adoption and developer NPS, not feature count. Proven ability to lead cross-functional initiatives across 4+ teams without direct authority. You influence through clarity, conviction, and stakeholder alig

Product Talk (Teresa Torres)producttalk.org · 10 June 2026

Share this article | Listen to this article ($) My initial reaction to the recent package hacks was fear. But I quickly learned I can mitigate much of the risk with a handful of configuration settings. If you haven't been following along, a large number of packages (think of packages as bundles of reusable code) have been compromised by malicious actors. Software developers have long known to guard against these types of attacks. But as more of us turn to coding agents to write code on our local devices, we are finding that we also need to understand and mitigate this risk. Last week, we dove deep on how these malicious attacks work, how we might defend against them, and explored whether Cowork was a safer option for most of us. The verdict was that it can be, but only if we understand how to use it safely. If you are a fan of Cowork and you missed that article, be sure to give it a read. Cowork, however, isn't always the best solution for me. I have too many use cases where I want Claude to access many folders across my file system. I use Claude to search, create, and edit the markdown files that make up my ta

latent.spacelatent.space · 2 June 2026

I’m excited to work with Microsoft once again as the presenting sponsors of the AI Engineer World’s Fair! We’ll streaming live from MS Build today for a special crossover pod with our friends at No Priors and the one and only Satya Nadella. However we did not hold back with this interview - we asked all the burning questions about uptime and Copilot that we know you have in your minds. Lets go! For almost two decades, GitHub has been the home of software, where both open source and closed flow, through commits, pull requests, reviews, actions, etc. @mojombo, ","username":"kdaigle","name":"Kyle Daigle","profile_image_url":"https://pbs.substack.com/profile_images/1775869471074258944/GJGhWau0_normal.jpg","date":"2026-04-10T12:33:00.000Z","photos":[{"img_url":"https://pbs.substack.com/media/HFiCnT1akAM2OHh.jpg","link_url":"https://t.co/QsejdrIJtG"}],"quoted_tweet":{},"reply_count":16,"retweet_count":18,"like_count":243,"impression_count":21934,"expanded_url":null,"video_url":null,"belowTheFold":false}" data-component-name="Twitter2ToDOM"> This ecosystem flourished as open-source maintainers and contributors would continue shipping code for

Lovablejobs.ashbyhq.com · 1 April 2026

TL;DR We're looking for a Senior Product Manager to own Security at Lovable, end-to-end, from conception through rollout. You'll make sure the millions of apps built on Lovable are safe, trustworthy, and secure by default, turning security from a checkbox into a genuine product differentiator. Why Lovable? Lovable is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we’re just getting started. We’re building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fa

Decagonjobs.ashbyhq.com · 24 January 2026

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Over the past few years, development of LLMs has evolved at a rapid pace. Building truly successful AI products isn’t just about model quality — it’s about the infrastructure, toolin