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An Atlassian AI-assisted coding interview is not simply a LeetCode problem with a chatbot attached. Recent 2026 internship candidates report receiving an unfamiliar repository in HackerRank, using a built-in coding agent to understand it, and then debugging or implementing a scoped feature while an…
Buying software on a one-time payment sounds like the easiest way to cut monthly SaaS bills, until you end up with five unused license codes sitting in your account.
I am new to this. Happy to be part of dev community. Tagged with software, opensource, ai, programming.
Because I find it difficult to read the textual output of agents after each modification or planning, and relate everything to the big picture, I built this simple application (with the help of Claude Code). It is an Electron application that has an integrated terminal linked to the Chalkboard.
Webwright ของ Microsoft: ให้ AI เขียนโค้ดท่องเว็บ แทนที่จะนั่งคลิกทีละครั้ง โดย Nokka (นก-กา) | 3 ตุลาคม 2569 ถ้าคุณเคยปล่อยให้ AI agent ทำงานบนเว็บยาว ๆ แล้วเห็นมันเริ่มสับสนตอนคลิกที่สี่สิบ คุณไม่ได้คิดไปเอง และงานวิจัยชิ้นหนึ่งจาก Microsoft Research…
Real‑time voice apps—think live streaming, virtual assistants, or interactive gaming—have to juggle a handful of tight constraints. Low latency, high fidelity, and graceful scaling are not optional; they’re the foundation of a great user experience.
The Model Context Protocol solved the server-side fragmentation problem so thoroughly that a client-side one replaced it: six popular AI tools now speak MCP, and each one has its own config file, its own UI path, its own rules about where environment variables may come from, and its own tolerance…
Explaining why Renovate is going to be my solution to keeping up-to-date with dependencies and it's not likely to change any time soon.
Why Voice AI Matters for Startups If you’re building a SaaS product, a mobile app, or an interactive voice bot, the ability to generate natural‑sounding speech can be a game‑changer. Voice AI lets you: Add accessibility for users with visual impairments.
Codocly Is Not Just a Documentation Tool Anymore — We’re Building an AI-Native Developer Platform When we started building Codocly, the problem looked simple. Developers write code, but documentation is often treated as something they have to do after the real work is finished. You build an API.
Limit the agent to the conversation that opened the task, keep a citation on every message you use, and search in passes before you summarize. For a project catch-up, Jaime DeLanghe described one keyword spinning off five related searches, then a cluster of interest, then a pared-down set, then the…
Its test suite passed six out of six. Then I pointed it at thirteen real crash reports from my own server and it got three of eight. I asked Claude to build and ship a commercial product with as little help from me as possible — write the code, write the tests, set up the storefront, publish it.
The first week of using a coding agent against your company's API is always the same: paste the docs URL into the prompt, correct the base path, correct the auth header, correct the pagination type, correct the envelope wrapper, repeat in every new session and every new tool.
1. Nine o'clock Nine in the morning. A lecture hall, sixty students, one professor, a task on the board. Not quicksort. Not a linked list. Nothing that balances itself. Build a shop. Registration, catalog, basket, payment, and a back end that stays up when the shop is mentioned on television.
Originally published at aideazz.xyz — cross-posted here with canonical link. A 429 HTTP status code, "You have reached your ten_secondly_rolling limit," hit my hs-watch-manual-emails process recently.
You push code to Git. A few minutes later, your application is running in Kubernetes. No manual kubectl apply. No SSH into servers. No copying YAML files. No "Did someone forget to deploy production?" Sounds good, right? This is the idea behind GitOps.
Voice‑cloned marketing isn’t science fiction any longer. When you can hand‑craft a brand’s tone, pitch, and even its personality in a few lines of code, you’re giving your audience a more authentic, engaging experience—and you’re doing it at scale.
Most agent memory today is one of two failure modes. Either it's an append-only log that grows until the context window chokes on six-week-old trivia, or it's a lossy summary that quietly rewrites history and can't tell you what it dropped.
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