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Key Takeaways Yes, DevOps is worth learning in 2026 but only if you approach it with the right stack, not just theory. Freshers can realistically start at ₹4–8 LPA in India, with ₹12–20 LPA achievable within 2–3 years. 250,000+ active DevOps job openings exist across India right now. AI is changing DevOps, not killing it — creating new specializations like MLOps, AIOps, and platform engineering. The #1 mistake freshers make: learning tools without understanding systems. Av

Article URL: https://github.com/T-Chartrand/tuningfork Comments URL: https://news.ycombinator.com/item?id=48539346 Points: 2 # Comments: 0

The first years stepping into the world of software... Back then, getting lost in lines of code, the sweet anxiety of learning a new technology, and the question "Am I on the right path?" constantly revolved in my mind. Looking back today, I see more clearly that the adaptation process was not just a technical learning marathon, but also required a mental transformation. In this post, I will explain the adaptation process I experienced in those early years, the challenges I encountered, and h

A look at the structural improvements in version 1.9.0 — and why an MIT-licensed red teaming framework now explicitly demands authorized use. What Changed in v1.9.0 This week we merged PR #6 , a major structural overhaul of the redteam-ai-benchmark framework. The headline is version 1.9.0, but the real story is in the details. Here is what actually lande

WWDC 2026's "What's new in SwiftData" session is a tight, practical one. There's no sweeping redesign here, just four targeted additions that fill gaps developers have been working around for a while. If you've ever fought SwiftData to group a list, store a type you don't own, or react to data changes outside a SwiftUI view, this release is for you. Here's everything that's new and how to use it. 1. Sectioned fetching with @Query Grouping a list by some property used

A developer-focused walkthrough of verifying a Certified Execution Record using only its bytes, public node metadata, and standard cryptographic primitives. A client challenges an AI decision six weeks later. They do not want a dashboard screenshot. They do not want a model card. They want something much harder: show me exactly what happened, and prove it. Most systems fail this test. Logs can be edited. Pipelines evolve. Re-running a model rarely reproduces the original result.

When we started building PolyTalk, privacy wasn't the problem we were trying to solve. Language was. The idea was simple: make conversations between people speaking different languages feel natural and effortless. Like most people working on translation technology, we were focused on things like speed, accuracy, and user experience. We wanted translations to happen in real time and feel almost invisible to the people using them. But as we talked to more potential u

How a 35-year-old open-source database became the default choice for relational storage, full-text search, vector AI workloads, geospatial queries, and event-driven architecture — in a single deployment. Most production architectures look like a small city: a relational database for core data, a document store for flexible schemas, an Elasticsearch cluster for search, a vector database for AI-powered features, and a message broker stitching it all together. Five services. Five

The European Commission is assessing the implications of the US order that forced Anthropic to shut down Fable 5 and Mythos 5 worldwide. European researchers are debating the right response: building their own foundation models or securing access through contracts. But building out homegrown infrastructure would require computing capacity, energy, and competitive providers that Europe currently lacks, experts warn. The article Anthropic shutdown sparks sovereignty debate across Europe appeared f

Mine got flagged twice in one day. Both essays generated more engagement than anything else I've published here. One had a five-exchange technical comment thread building a production architecture on top of it. The other had an AI podcast episode generated from it before it even published. The founder of DEV.to liked one of them before the bot flagged it. I'm not here to argue about the policy. The guidelines are reasonable. AI disclosure is fair. I added the disclaimers

fix(qqbot): keep markdown table chunks valid (#92428) * fix(qqbot): keep markdown table chunks valid * fix(qqbot): keep markdown table chunks valid across message boundaries (#92428) (thanks @sliverp) Co-authored-by: sliverp

I’d like to share a practical article about SKILL.md Best Practices: How to Build Better AI Agent Workflows . As AI Agents become more common in development, content creation, SEO, and automation workflows, one thing becomes increasingly important: consistency . In many cases, we do not just want AI to produce a good answer once. We want it to follow a repeatable process, use the same structure, respect the same rules, and return results in a form

docrawl is a lightweight Node.js CLI for crawling documentation sites and converting them into Markdown with defuddle. It is built for static and server-rendered docs sites such as Docusaurus, VitePress, MkDocs, GitBook exports, and Obsidian Publish. It does not run a browser and does not execute page JavaScript. Comments URL: https://news.ycombinator.com/item?id=48539258 Points: 1 # Comments: 0

Article URL: https://github.com/Dolevco/batta-ai Comments URL: https://news.ycombinator.com/item?id=48539249 Points: 2 # Comments: 0

Greetings and salutations, everyone! As a fellow developer, I have a question for you: were you ever tired of searching through tens or hundreds of blogs, forums, and official documentations scattered around the internet, just to find one particular thing about GitHub? Think about the hours spent in vain, time you could've used for something far more useful. For that question, I come with your solution: Githipedia! What is our goal? To create one singular space (a.k.a. repositor

The AI landscape is evolving faster than ever. Keeping track of the right tools can feel like trying to drink from a firehose. Whether you're looking for an autonomous coding agent, a rapid app builder, an LLM benchmark, or a creative suite, you need the right tool for the job. I've combed through the latest and greatest AI tools and AI Agents to bring you this mega-compilation . Bookmark this page, because you're going to want to refer back to it. 1. T

fix(status): correct pinned model clear hint (#93231) Summary: - This PR changes pinned-session `/status` guidance, model-selection docs, and status tests to recommend `/model default` instead of `/model ` or `/reset` for clearing a session model pin. - PR surface: Source 0, Tests 0, Docs +4. Total +4 across 7 files. - Reproducibility: yes. from source inspection. Current main and v2026.6.6 emit the old `/reset` hint, while `/model default

Article URL: https://github.com/Wisser/Jailer Comments URL: https://news.ycombinator.com/item?id=48539114 Points: 3 # Comments: 0

Article URL: https://stratechery.com/2026/anthropics-safety-superpower/ Comments URL: https://news.ycombinator.com/item?id=48539078 Points: 100 # Comments: 67

Every spec-driven dev tool I've researched assumes an engineer writes the spec at the keyboard, as they're about to build. But that feels too late - the intent & delivery processes behind the work mean it likely got hashed out some time earlier in a doc / ticket / meeting, written into Confluence and/or Jira, losing a bit of fidelity each time, so what the engineer writes in the spec is really a copy of a copy. And where I work the non-engineers can't even get into GitHub, so a spec living next

<p>Voters want someone they trust to change the economic deal</p><p>Graham Platner’s victory in the Maine Democratic primary, <a href="https://www.theguardian.com/us-news/2026/jun/09/graham-platner-maine-senate-primary">despite controversies that would sink more conventional candidates</a>, shows us that voters are not simply rejecting incumbents. They are responding to candidates – even those with pretty dire baggage – who speak to a widespread belief that the economic system is increasingly ri

Consumers are showing a willingness to let AI agents take on more shopping-related tasks, according to new research from Accenture. The company’s 2026 Consumer Pulse Research, based on a survey of 25,590 consumers across 16 countries, found that 74% of respondents would trust a personal AI agent more than their best friend to make a […] The post Accenture: Consumers show growing trust in AI shopping agents appeared first on AI News .

An attacker tampered with trusted JavaScript files used by WordPress sites running PushEngage, OptinMonster, and TrustPulse, turning those files into a way to break into the sites. When a site administrator was logged in as the file loaded, the code created an admin account under the attacker's control and installed a hidden plugin that opened a way back in. Ordinary visitors did not trigger it

The 44 hp Burro Grande brings more than 1 million hours of real-world experience to industrial towing, site logistics, and facilities operations. The post Burro introduces Grande 44 with proven outdoor autonomy built for heavy industry appeared first on The Robot Report .

fix(agents): replace prose terminal classifiers (#93228) * fix(agents): replace prose terminal classifiers Co-authored-by: fuller-stack-dev * fix(agents): preserve terminal failure lifecycles * fix(agents): order parallel terminal summaries * fix(agents): preserve structured post-tool silence * fix(agents): preserve structured replay provenance --------- Co-authored-by: fuller-stack-dev <263060202+

Article URL: https://github.com/Anush008/fastembed-rs Comments URL: https://news.ycombinator.com/item?id=48538943 Points: 1 # Comments: 0

fix(auto-reply): clear pending-final state before honoring post-send abort (#89115) (#93201) In dispatchReplyFromConfig the user-message success branch ran throwIfDispatchOperationAborted() *before* clearPendingFinalDeliveryAfterSuccess(). If stuck-session recovery aborted the run in the window between the final reply shipping and the clear, the message was delivered but pendingFinalDelivery stayed true forever — the get-reply redelivery short-circuit

<p> Centralize, scope, and sync skills for every AI agent </p> <p> <a href="https://www.producthunt.com/products/sklm?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1172208?app_id=339">Link</a> </p>

Microsoft CEO Satya Nadella wants companies to build "token capital" alongside human capital, meaning their own AI capabilities built on internal data and proprietary learning loops. Without it, he warns, a few large models could absorb the value of entire industries. The argument also happens to line up with the business logic of his own Azure platform. The article Microsoft CEO Satya Nadella warns of "a small number of AI systems capturing all the economic returns" appeared first on The Decode

fix(tui): keep parent stdin paused after exit (#93159) Keep the setup TUI parent stdin paused after its inherited-stdio child exits so Docker and PTY setup parents terminate cleanly. Align pre/post setup terminal cleanup with the cleanup-then-exit contract and add lifecycle regression coverage. Thanks @fuller-stack-dev.

Article URL: https://github.com/themartiano/luz Comments URL: https://news.ycombinator.com/item?id=48538833 Points: 3 # Comments: 1

Comments URL: https://news.ycombinator.com/item?id=48538828 Points: 1 # Comments: 3

For work I often have to review multi thousand file changes in PR mostly generated by AI/Llama/claude code. It's mainly rust with many unit tests, so there is a lot tooling helps verify the code already to help a lot. But I struggle with these reviews, finding me to just glance over at times unable to comprehend the changes in any higher level capacity (e.g. architecture). Which I think is mainly due to so many changes of these thousands of lines happening that I lack any coherent model of what

docs(skills): post Discord announcements as user

I've heard most don't write any code at all at bigger shops that have flexible/unlimited token budgets. Code reviews are also being "offshored" to LLMs and/or neglected. What's your experience? Most importantly, do you enjoy this shift? Are you happy with becoming and staying a prompt engineer for the rest of your careers? Comments URL: https://news.ycombinator.com/item?id=48538770 Points: 3 # Comments: 0

I want to introduce ELDC, an efficient language detector, written in C, designed to maximize speed and accuracy within a relatively constrained memory footprint. ELDC is the latest iteration of the ELD software I made years ago. This version is available as an executable, a library, and a Python package. This is my first C software, or anything compiled for that matter, I previously built this in pure PHP, JavaScript, and Python. Highlights: - Performance: In my benchmarks, it runs faster than C

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I did. And it got me thinking. For those delivering customer-facing digital products and systems—especially in companies where slow go-to-market speed can have real impact—being able to ship new products, patches, and resolve support issues faster than competitors is a clear advantage. We often hear that time is of the essence. Time to market can be the difference between a customer choosing your digital product over a competitor’s. Here’s a further question: If go-to-market time is reduced, wil

I've found that doing basic biology research with Claude has become extremely difficult. I'm not talking about anything remotely related to developing a bioweapon, just straightforward immunology questions that almost always end up being flagged. I completely understand the need for guardrails, but in practice they can significantly reduce the tool's usefulness for legitimate scientific research. It sometimes feels like the model is better suited for "vibe coding" than for serving as a serious r

fix(matrix): replace recovered command progress lines (#89920) * fix(matrix): replace recovered command progress lines * fix(matrix): replace recovered command progress lines * fix(matrix): share command progress identity * fix(channels): share command progress identity * fix command progress draft replacement * fix command progress ids without changing public line ids * test(telegram): assert command progress preview update * fix(telegram): keep prog