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Does anyone know of any good technographic APIs? I run a dev consultancy and basically want to know what tech stack they currently use (ie what they use for CI/CD or security), so it can help me prepare when i talk to a prospect. I know Builtwith is the leader in this space but i feel its lacking a bit when it comes to finding tech that isnt front end or JS focused. I’ve tried using the Anthropic API but most of the time it seems to give me hallucinated results (based on the results for companie

Article URL: https://cacm.acm.org/news/can-we-understand-how-large-language-models-reason/ Comments URL: https://news.ycombinator.com/item?id=48883090 Points: 17 # Comments: 6

<p>If you are building cryptocurrency trading algorithms, liquidation dashboards, or funding rate arbitrage bots, you already know that data is everything. In the crypto derivatives space, <a href="https://coinglass.com" rel="noopener noreferrer">Coinglass</a> has established itself as the premier platform for market data. With the release of their unified <a href="https://docs.coinglass.com/reference/getting-started-with-your-api" rel="noopener noreferrer">API v4</a>, they opened up institution

<!-- SC_OFF --><div class="md"><p>I hold a Ph.D. in Operations Research, along with a BSc/MSc in Engineering and OR. I previously worked in Big Tech, but I’m currently looking to transition.</p> <p>My primary goal is to <strong>upgrade my technical skillset to maximize my industry-related profitability and marketability.</strong> I want to get away from generic data science and move into high-value, math-heavy engineering and modeling roles.</p> <ul> <li><strong>My Core Interests:</strong> Forec

<pre style='white-space:pre-wrap;width:81ex'>refactor(agents): remove redundant zero usage helper (#105577)</pre>

<pre style='white-space:pre-wrap;width:81ex'>fix(ci): allow empty success diagnostics (#105569) * fix(ci): allow empty success diagnostics * docs(agents): guard non-main PR landing</pre>

<p>At work, I use Claude, ChatGPT and Copilot, depending on the task I have. Sometimes I create my task plan using one agent, another one helps with writing the code and another one does the code review. Sometimes I use the same agent for all three steps, so I don't really have a flow that's set in stone.</p> <p>One thing I did notice though is that, all agents perform very well when it comes to generatig code for greenfield projects but the quality of their output decreases the more I work with

<pre style='white-space:pre-wrap;width:81ex'>fix(qa): repair agentic runtime parity mocks (#105500) * fix(qa): repair agentic runtime parity mocks * fix(qa): scope terminal media parity evidence * fix(qa): require one image call for media fallback * fix(qa): bind terminal media proof to image step * fix(qa): require image capture agreement * fix(qa): allow skipped parity steps</pre>

<pre style='white-space:pre-wrap;width:81ex'>refactor(agents): remove stale embedded runner exports (#105572)</pre>

Article URL: https://www.theatlantic.com/technology/2026/07/ai-chatbot-writing-tic-negative-parallelism/687892/ Comments URL: https://news.ycombinator.com/item?id=48882972 Points: 3 # Comments: 0

<p><em>Hello, I'm Maneshwar. I'm building git-lrc, a Micro AI code reviewer that runs on every commit. It is free and source-available on Github. <a href="https://github.com/HexmosTech/git-lrc" rel="noopener noreferrer">Star git-lrc</a> to help devs discover the project. Do give it a try and share your feedback.</em></p> <p>So here's how I spent my weekend. </p> <p>I went digging through old GitHub repos looking for something forgotten, found a project called <strong>lhttp</strong>, and instead

Article URL: https://www.bloomberg.com/news/newsletters/2026-07-12/apple-s-chip-plans-m6-m7-pro-m7-max-m7-ultra-m8-details-touch-macbook-pro Comments URL: https://news.ycombinator.com/item?id=48882968 Points: 2 # Comments: 0

Article URL: https://www.motivenotes.ai/p/against-usefulness Comments URL: https://news.ycombinator.com/item?id=48882956 Points: 30 # Comments: 5

Article URL: https://soullessmusic.com/ Comments URL: https://news.ycombinator.com/item?id=48882955 Points: 1 # Comments: 0

<pre style='white-space:pre-wrap;width:81ex'>refactor(agents): remove unused live model provider helper (#105570)</pre>

Article URL: https://svoxx.com/int/en Comments URL: https://news.ycombinator.com/item?id=48882899 Points: 1 # Comments: 0

<pre style='white-space:pre-wrap;width:81ex'>refactor(agents): localize code mode internals (#105563)</pre>

Article URL: https://asianexpats.com Comments URL: https://news.ycombinator.com/item?id=48882871 Points: 1 # Comments: 0

<pre style='white-space:pre-wrap;width:81ex'>perf(agents): reuse current model catalog metadata (#105552)</pre>

Article URL: https://github.com/innovatorved/sayitdev Comments URL: https://news.ycombinator.com/item?id=48882834 Points: 2 # Comments: 0

<pre style='white-space:pre-wrap;width:81ex'>refactor(agents): remove unused auth plan wrapper (#105554)</pre>

As the time of ai passing the cradle to vast amount of new contributors i'm here wondering about things agentic/ai researchers are pulling hair about. Comments URL: https://news.ycombinator.com/item?id=48882749 Points: 2 # Comments: 0

I built Wisp because I kept alt-tabbing between my editor/browser/docs and chat apps, copying context over, waiting for an answer, then copying the result back. Wisp is a desktop overlay for using AI from whatever app you are already in. -You can prompt with your choice of context (Text, screenshot, snipping, active app etc) in a few key strokes -For longer back-and-forth, it can open into a full chat window. -Supports hold-to-talk voice queries, dictation into any field, local TTS, -Can pastes

Article URL: https://www.bloomberg.com/news/features/2026-07-10/ai-powered-entrepreneurs-set-to-launch-record-number-of-new-businesses Comments URL: https://news.ycombinator.com/item?id=48882643 Points: 2 # Comments: 1

Article URL: https://mlq.ai/news/openais-ai-sweeps-all-five-problems-at-atcoder-world-tour-finals-beating-every-human/ Comments URL: https://news.ycombinator.com/item?id=48882547 Points: 2 # Comments: 0

Article URL: https://yalereview.org/article/ai-and-the-future-of-writing Comments URL: https://news.ycombinator.com/item?id=48882522 Points: 3 # Comments: 0

One in four longer social media posts is entirely AI-generated, according to a Pangram analysis. LinkedIn leads with 41 percent of long-form posts flagged as AI-written. The platform made up only a third of all posts scanned but accounted for nearly two-thirds of all detected AI content. Because the detection model tends to flag content conservatively, the real rate could be even higher. The article LinkedIn is the undisputed king of long-form AI slop, according to a study spanning five platform

Article URL: https://libertystreeteconomics.newyorkfed.org/2026/07/using-ai-to-let-history-speak-about-bank-runs/ Comments URL: https://news.ycombinator.com/item?id=48882442 Points: 2 # Comments: 0

Article URL: https://github.com/luke-fairbanks/broll Comments URL: https://news.ycombinator.com/item?id=48882440 Points: 2 # Comments: 0

The biggest gap today in SRE agents is missing domain knowledge. So they cannot give accurate results for oncall incident handling. I just didn't find any lightweight and suitable solution to exactly solve the problem. So I created a desktop application NeatContext. It does nothing but can let LLMs know your domain knowledge to handle the incidents right. Comments URL: https://news.ycombinator.com/item?id=48882433 Points: 3 # Comments: 1

Article URL: https://github.com/alectrocute/honeyprompt Comments URL: https://news.ycombinator.com/item?id=48882377 Points: 2 # Comments: 0

Apple's self-driving car program never really got off the ground, but it may have been what made the company's chips the powerful AI performers they are. Early in the development of the self-driving platform, Apple realized that it would need powerful on-device AI processing. While the car processor was never finished, as Mark Gurman details […]

This is important, but I haven't seen enough discussion about it. Comments URL: https://news.ycombinator.com/item?id=48882310 Points: 3 # Comments: 1

Article URL: https://agentindexed.com/ Comments URL: https://news.ycombinator.com/item?id=48882307 Points: 2 # Comments: 0

Welcome back to TechCrunch Mobility, your hub for the future of transportation and now, more than ever, how AI is playing a part.

Article URL: https://github.com/yonidavidson/agentcomm Comments URL: https://news.ycombinator.com/item?id=48882192 Points: 2 # Comments: 0

DeepSeek's recent decision to drastically cut pricing on its V4-Pro model by 75% should have been unequivocally good news for enterprise AI vendors and developers. Instead, many are discovering that cheaper models don’t automatically translate into healthier margins. The reason is simple: While inference costs plummet, agent systems are voraciously consuming tokens faster than prices are declining. For the last 2 decades, software economics was dictated by the same rule. Infra became cheaper eve

Every organization wants to become agentic. Corporations are laying off employees and diverting the spend to AI. Many are aware of the nuances of tokken maxing and how to manage their tokens. My worry is what happens when agentic adoption normalizes and the underlying data layer starts generating huge bills for the compute as it is cloud based. Agents optimize for outcome. I can imagine a future where hundreds of thousands of agents operate on a data that shoots not only the token, but also the

Professional-Grade Image Editing with Text Prompts Comments URL: https://news.ycombinator.com/item?id=48882121 Points: 3 # Comments: 0

Claude Code now has a built-in browser that lets the AI open, read, and interact with web pages directly inside the development environment. Write actions on external sites are screened by classifiers, and purchases or account creations need user approval. The article Claude Code now has a built-in browser that lets the AI read, click, and type on external websites appeared first on The Decoder .