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ProgrammingDEV Community ·

Python Selenium Architecture and Virtual Environments Explained for Beginners

Selenium is a web automation framework that allows Python programs to control browsers through a component called WebDriver, following the flow: Python code → WebDriver → Browser → Web Application. Commands such as driver.get() and find_element() enable actions like opening websites, entering text, and clicking buttons. A Python virtual environment is an isolated setup created for a specific project, allowing developers to install only the packages that project requires. This prevents conflicts when multiple projects depend on different versions of the same library. Using a requirements.txt file within a virtual environment also simplifies project setup and dependency management for other contributors.

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ProgrammingDEV Community ·

Modern Responsive Design Goes Beyond Breakpoints, Relies on Flexible CSS Systems

Responsive web design is often oversimplified as adding media queries at a few fixed screen widths, but this approach fails to account for the wide variety of real-world contexts where a page may appear. A more robust method treats layouts as flexible systems driven by content constraints — such as minimum card widths and maximum readable line lengths — rather than device-specific rules. Modern CSS tools like Grid, Flexbox, clamp(), and container queries allow layouts to adapt fluidly without long chains of media queries. Developers are advised to reserve media queries for page-level structural changes and user preferences, while using container queries for reusable components. Image performance is also highlighted as a critical but often overlooked aspect of truly responsive design.

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ProgrammingDEV Community ·

AI-Farmed 'Drive-By' PRs Are Wasting Open Source Maintainers' Time

Open source maintainers are increasingly dealing with 'drive-by' pull requests — contributions submitted with no intention of follow-through, often generated by AI tools pointed at repositories en masse. The pattern typically involves using a large language model to identify fixes, submitting the output across dozens of repos, and never responding to maintainer feedback. These abandoned PRs waste reviewer time and clog project queues, making repositories appear unmaintained to genuine contributors. Maintainers are advised to set explicit response deadlines, close stale PRs without hesitation, and state anti-drive-by policies clearly in contributing guidelines. Contributors are urged to read the code they submit, engage with feedback, and only open PRs they are prepared to see through to completion.

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ProgrammingDEV Community ·

How Angular HTTP Interceptors Automate JWT Auth and Token Refresh

A developer has shared a technique for managing JWT authentication in Angular applications using an HTTP interceptor. The interceptor automatically attaches an access token to every outgoing API request, eliminating the need to add authorization headers manually in each service. When a request returns a 401 Unauthorized error, the interceptor attempts to silently refresh the access token using a stored refresh token before retrying the original request. If the refresh token is also expired or invalid, the user's session data is cleared and they are redirected to the login page. A key safeguard prevents infinite loops by detecting when the failed request is itself the refresh endpoint, triggering an immediate logout instead of another refresh attempt.

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ProgrammingDEV Community ·

How to Validate GitHub Webhooks Using HMAC SHA-256 in PHP and Node.js

GitHub webhooks can be exploited if endpoints blindly trust incoming payloads, making signature verification a critical security step. When GitHub dispatches a webhook, it computes an HMAC SHA-256 signature using the raw request body and a shared secret, sending the result in the X-Hub-Signature-256 header. Developers must recalculate this signature server-side from the raw body and compare it against the header value using constant-time comparison functions to prevent timing attacks. In PHP, hash_hmac() and hash_equals() handle this securely, while Node.js offers createHmac() and timingSafeEqual() from the native crypto module. A key implementation detail is that validation must use the raw request body before any JSON parsing, since even minor byte-level changes will produce a different HMAC and cause legitimate requests to fail.

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ProgrammingDEV Community ·

India's DPDP Rules Notified; Most Compliance Deadlines Fall in 2027

India's Digital Personal Data Protection Act, 2023 received presidential assent in August 2023 but remained without operative rules for two years. On November 13, 2025, the Ministry of Electronics and Information Technology notified the DPDP Rules, 2025, and formally established the Data Protection Board of India. The Rules introduce a staggered enforcement timeline: provisions for Consent Managers take effect from November 13, 2026, while the bulk of obligations — including consent requirements, data principal rights, and breach notification penalties — become enforceable from May 13, 2027. The Act defines three key roles: Data Fiduciary (companies deciding how data is processed), Data Processor (vendors handling data on their behalf), and Data Principal (the individual whose data is collected). While most deadlines are roughly 18 months away, legal experts note that the regulatory framework is now active, giving product teams a finite window to build compliant data architectures.

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ProgrammingDEV Community ·

Developer with 25 years of experience returns to DEV to share real-world engineering lessons

A software developer who has been programming since the early 2000s has announced a return to the DEV Community platform to document lessons learned across more than 25 years of building systems, SaaS products, APIs, and automations. The author previously published on DEV in 2024 but shared little of their ongoing work, much of which remained private due to client projects. They are currently working on several active products, including a GitHub webhook inspector, a Bible content API, and a lightweight analytics platform. Going forward, they plan to write about architecture decisions, SaaS validation, AI agents, and the intersection of code, product, and business. The author emphasizes that technology only creates value when it solves concrete problems, and that shipping and iterating consistently outweighs indefinite planning.

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ProgrammingDEV Community ·

From R-CNN to Faster R-CNN: How Two-Stage Object Detectors Shed 47-Second Lag

Object detection architectures are broadly divided into one-stage and two-stage detectors, with two-stage models dominating benchmarks from 2014 to 2017 due to their accuracy. The original R-CNN, introduced by Girshick et al., applied deep learning to detection by running a CNN forward pass on roughly 2,000 region proposals per image, resulting in a processing time of about 47 seconds per image. Fast R-CNN addressed this bottleneck by running the CNN once on the full image and using RoI Pooling to extract fixed-size features for each proposal from a shared feature map, achieving a 213x speed improvement over R-CNN. Faster R-CNN further eliminated the remaining bottleneck — the CPU-bound Selective Search algorithm — by introducing a Region Proposal Network (RPN) that generates proposals directly from the shared feature map in a single forward pass. The result was a fully end-to-end trainable detection pipeline running at approximately 5 frames per second, representing a dramatic leap from the original multi-stage, multi-minute pipeline.

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ProgrammingDEV Community ·

How One Developer Tackled React Native's Web3 Gaps to Build a Crypto Wallet

A developer shared technical lessons from building a cryptocurrency mobile wallet in React Native in 2021, highlighting the core challenge that most Web3 JavaScript libraries assume a Node.js or browser environment, neither of which React Native's Hermes or JavaScriptCore engines provide. To bridge this gap, three strategies were required: polyfills, which attach missing Web API implementations like TextEncoder and crypto.getRandomValues to the global scope; shims, which intercept and alias Node.js built-in modules such as Buffer and stream to React Native-compatible alternatives via Metro bundler configuration; and native modules, which tap into platform-level security features like iOS Secure Enclave and Android Keystore for cryptographic operations. Libraries such as Ethers.js, bip39, and WalletConnect depend on these browser and Node primitives for tasks ranging from entropy generation to transaction signing. The article serves as a practical architectural guide for developers attempting to integrate Web3 tooling into mobile environments where runtime assumptions frequently break down.

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ProgrammingDEV Community ·

Six Agent Memory Tools Compared: What Each One Actually Does and When to Skip It

A 2026 comparison of six AI agent memory tools — Mem0, Zep, Letta, Cognee, LangMem, and Mnemoverse — highlights that each solves a distinct problem rather than competing on the same dimension. Mem0 focuses on fast fact extraction from conversations, while Zep's temporal knowledge graph tracks when facts were true, making it suited for domains where state changes over time. Letta takes a different approach by embedding memory management directly into agent cognition as part of the MemGPT lineage, whereas Cognee builds self-hosted knowledge graphs from structured data pipelines. The comparison was written by Edward, co-founder of Mnemoverse, one of the six tools reviewed, who acknowledges the conflict of interest upfront. The piece frames itself as a map rather than a ranking, advising teams to match the tool to their specific memory use case instead of relying on star counts or leaderboards.

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ProgrammingDEV Community ·

How to Design a Scalable Online Auction System: Key Architecture Decisions

An online auction system allows sellers to list items with a starting price and time window, while buyers compete by placing incrementally higher bids. The core engineering challenge is handling concurrent bids correctly, ensuring that when two users bid simultaneously, only the highest valid bid is recorded as the winner. Each auction follows a lifecycle from creation through active bidding to winner determination and payment completion. Bid history is preserved in the database rather than overwritten, supporting auditing, dispute resolution, and fraud detection. To handle large audiences — potentially millions of users watching a single auction — current auction state can be cached in a system like Redis to reduce direct database load.

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ProgrammingHacker News ·

Stoa Markets Launches GPU and AI Server Trading Marketplace with $300M First-Month RFQs

Y Combinator-backed startup Stoa Markets has launched an online marketplace for buying and selling new and used GPUs and AI servers, aiming to replace the fragmented, manual trading process currently dominated by phone calls and email threads. Founded by Eren, Berat, and Kaan — veterans of derivatives trading and energy markets — the platform standardises hardware requests by requiring buyers to specify configuration, condition, warranty, and delivery terms before quotes are issued. Verified dealers respond with firm, blind bids, and the platform tracks payment, shipping, and inspection through to settlement without taking physical possession of the hardware. The founders say the platform attracted over $300 million in requests for quotes during its first month of operation. Beyond streamlining transactions, Stoa also aims to build a reliable resale price dataset that could help lenders better assess GPU collateral values when financing data centre infrastructure.

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ProgrammingDEV Community ·

Developer builds CSS Radar tool to detect JavaScript replaceable by modern CSS

A developer has created a free tool called CSS Radar that scans public web pages to identify JavaScript patterns that could be replaced by native HTML or modern CSS features. The scanner renders pages in Chromium, scrolls through content, and tests interactions to collect real evidence before flagging any findings, minimising false positives. Common patterns it detects include custom modal focus traps, class-toggled dropdown menus, and IntersectionObserver-based reveal animations — all of which have modern CSS or HTML equivalents. The tool deliberately takes a conservative approach, only reporting a finding when multiple pieces of captured evidence confirm a verifiable replacement exists. CSS Radar is aimed at developers who want practical, site-specific guidance rather than generic advice about adopting newer browser capabilities.

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ProgrammingDEV Community ·

Small Team Cuts Server RAM from 4GB to 1.6GB by Ditching Nextcloud for Cloudreve

A 24-person company migrated its 100GB internal knowledge base from Nextcloud to Cloudreve v4, pairing it with the fileview service for document previews, running both as Docker containers on a single server. Nextcloud's PHP-based architecture and bundled OnlyOffice server were consuming over 4GB of RAM, while the team only needed basic file browsing, online preview, and video streaming. Cloudreve, a Go-based single binary, reduced the core process footprint to around 170MB, bringing total RAM usage down to approximately 1.6GB. Before migrating the 100GB dataset, the team ran a reconnaissance pass and discovered that 28GB consisted of trash and version history that did not need to be transferred. The exercise also revealed that most user accounts held only Nextcloud's default sample files and had never been actively used, significantly simplifying the migration scope.

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ProgrammingDEV Community ·

Vibecoding Matures: Why Production Teams Need More Than Just AI-Generated Code

AI-assisted coding, known as vibecoding, is evolving beyond rapid prototyping as teams now need to maintain, extend, and operate the interfaces they generate. Experts argue that a production-ready vibecoding workflow requires five layers: intent, a visual system, a production component library, generation tools, and verification. Without these middle layers, AI-generated code tends to be fast but inconsistent, lacking accessibility, responsive design, and maintainable structure. Component libraries are increasingly central to these workflows, serving as repositories of reviewed design decisions rather than mere code snippets. As code generation becomes cheaper, the article contends that selecting the right patterns and applying human judgment to brand and domain-specific details becomes the true differentiator.

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ProgrammingDEV Community ·

How a Workflow Library Fixes Claude Code's Data Science Reliability Gaps

AI coding agents like Claude Code can generate data science pipelines quickly, but they struggle with reproducibility and state management across long sessions. Key failure modes include training models on stale cached data, redundant recomputation of expensive steps, and mismanaged file paths — all rooted in the agent's limited context memory rather than coding ability. A dependency-aware workflow library called oryxflow addresses these issues by letting developers declare each pipeline step as a task with explicit dependencies, shifting execution control to the engine. This means the agent no longer needs to mentally track what has been computed or whether intermediate outputs are still valid, as the graph structure handles that automatically. The result is a more reliable run-observe-edit loop where completed steps load from cache and stale intermediates are detected structurally rather than silently ignored.

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ProgrammingHacker News ·

Hacker News Debates Best Programming Languages for Coding Agents

A discussion thread on Hacker News is exploring which programming languages are best suited for building coding agents. The post has gathered 23 points and 13 comments from the developer community. It follows a related January 2026 thread on the same platform that examined token efficiency across programming languages, which attracted 91 comments. The conversation reflects growing developer interest in optimizing language choices for AI-driven coding tools and agents.

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ProgrammingDEV Community ·

AI Stack's Profit Paradox: Infrastructure Earns Big While Model Makers Lose

A chart published by Apollo's Torsten Slok reveals a striking inversion in AI industry margins, with semiconductor and equipment firms posting around 41% operating margins while model and application companies sit at roughly -59%. Unlike traditional software, where the customer-facing layer typically captures the most durable profit, AI's margin strength currently lies furthest from the end user. Bulls argue this mirrors early buildout phases of past technologies like cloud and fiber, where infrastructure investment preceded widespread adoption and monetization. Goldman Sachs projects global AI-related investment will surpass $1 trillion in 2026, suggesting the capex cycle is not yet showing signs of slowing. Oracle illustrates the financial strain this creates, reportedly carrying nearly $130 billion in debt and around $260 billion in lease commitments tied to AI infrastructure, alongside negative free cash flow.

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ProgrammingDEV Community ·

RapidFort Launches Runtime Tool to Monitor Open-Source Packages in Production

RapidFort announced RapidFort Runtime at Black Hat USA, a read-only monitoring tool designed to track its hardened open-source packages once they are running in production environments. The tool continuously watches workloads, detects changes, and surfaces what the company describes as actionable mitigations for DevOps and platform teams. Unlike enforcement-based security agents, Runtime does not block activity but instead focuses on providing visibility into drift between what was originally deployed and what is actually executing on a given pod. RapidFort positions the product as an extension of its existing business of selling reduced, hardened builds of common open-source components. Key details such as pricing, general availability, orchestrator support, and the sourcing of its mitigation feed have not yet been publicly disclosed.

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