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ProgrammingDEV Community ·

Presigned URLs Let Serverless Functions Handle File Uploads Without Proxying Bytes

Routing file uploads through serverless functions creates problems including doubled bandwidth, high memory usage, and request-size limit failures. Presigned URLs solve this by having the server issue a short-lived, pre-authorized link so the client uploads directly to object storage, bypassing the function entirely. On Neon Functions, developers can generate these URLs using the standard AWS SDK's getSignedUrl method pointed at an S3-compatible storage endpoint. A full test confirmed that the client PUT request reached storage successfully, metadata was saved, and the original file bytes were retrievable. One noted configuration detail is that the injected AWS_REGION variable reflects a storage-cell host rather than a standard region, requiring developers to manually set the region to 'us-east-2'.

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ProgrammingDEV Community ·

Rust App Automates Bulk Student Report Delivery via Gmail SMTP

A developer named Manjusha has built a desktop application in Rust that automates the delivery of student PDF reports via Gmail SMTP. The app, part of an ongoing Teacher Assistant App series, combines HTML-to-PDF generation, personalized email delivery, and delivery tracking in a single workflow. It uses egui for the interface and PostgreSQL for data persistence, with Gmail App Password authentication for secure sending. The project article includes Rust code snippets, implementation details, and an end-to-end demo of the full report delivery process.

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ProgrammingHacker News ·

Simple technique makes cooking a perfect steak accessible to beginners

A blog post by Sydorets argues that cooking a quality steak requires far less skill than commonly assumed. The article outlines a straightforward method that home cooks can follow without professional training or experience. The post gained traction on Hacker News, accumulating 21 points and sparking a small discussion with 7 comments. The piece aims to demystify steak preparation and encourage more people to try cooking it at home.

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ProgrammingDEV Community ·

Three-Person Team Built an AI Pipeline to Migrate 1,100 Flow Files to TypeScript

A three-person team tackled migrating a decade-old codebase of roughly 1,100 files from Flow to TypeScript during a hackathon, replacing the naive 'just let AI convert it' approach with a structured engine. Before any conversion began, static analysis generated a full dependency graph and type-ownership map, allowing files to be grouped and ordered so dependencies were always migrated before their consumers. The pipeline used a Planner-Implementer-Reviewer loop, where Claude Sonnet handled routine conversions while Claude Opus stepped in as an architect on cases that failed after three retries. A key constraint was switching to Vite and esbuild early, enabling legacy JavaScript and new TypeScript files to coexist so the app remained functional throughout the migration. The model was strictly limited to file edits only, with all verification handled externally via TypeScript compilation and tests, preventing silent errors from accumulating.

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ProgrammingDEV Community ·

AI Proctoring Failure at UNAM Forces 58,000 Students to Retake Entrance Exam

Nearly 160,000 applicants sat for the entrance exam to Mexico's largest university, UNAM, under an AI-powered remote proctoring system that used lockdown browsers and webcam monitoring. Despite these measures, top scores surged to nearly five times the historical average, signaling widespread cheating. Investigations revealed that students had shared methods online before the exam, including placing extra screens outside the webcam's field of view and using hidden wireless earbuds. The AI system could only monitor what appeared within the camera frame, leaving entire portions of each student's environment unobserved. The anomaly was significant enough that UNAM required approximately 58,000 applicants to retake the exam under in-person supervision.

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ProgrammingDEV Community ·

Neon Introduces Copy-on-Write Object Storage That Forks With Database Branches

Neon, a cloud Postgres platform, has introduced object storage branching that forks alongside database branches using copy-on-write semantics. Previously, branching a database only isolated the rows, while files stored in a shared object storage bucket remained shared across all branches, creating risks of accidental overwrites and inconsistent snapshots. With the new feature, developers declare a storage bucket in their branch configuration, and when a branch is created, the bucket forks independently with its own storage endpoint. A practical test confirmed that files written to a branch do not appear on the main branch, and deleting a branch also removes its associated files. The feature is currently available on new us-east-2 projects under Neon's platform preview program.

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ProgrammingDEV Community ·

Three Multi-Tenant Database Strategies for Laravel SaaS Apps Explained

Laravel SaaS applications must choose between three multi-tenancy strategies: row-level tenancy with a shared schema, separate schemas per tenant, or fully isolated databases per tenant. Row-level tenancy is the most common starting point, using a tenant_id column to separate data, but it risks data leaks if query scoping is forgotten. Schema and database isolation offer stronger guarantees but come with significantly higher operational costs around migrations, backups, and connection pooling. Developers can mitigate row-level risks by implementing a global Eloquent scope that automatically filters queries by the current tenant, removing the need to manually apply filters in every controller. Most Laravel SaaS products are advised to begin with row-level tenancy and only upgrade to stricter isolation when enterprise security requirements or scale genuinely demand it.

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ProgrammingDEV Community ·

Why One Kubernetes Probe Misconfiguration Can Take Down Your Entire Cluster

A common DevOps misconfiguration involves pointing a Kubernetes liveness probe at a database-dependent endpoint, which can convert a slow database into a full cluster outage by triggering simultaneous restarts across all replicas. Unlike readiness probes, which simply remove a pod from traffic rotation, a failing liveness probe kills and restarts the container, and when all pods share the same failing dependency, the entire service goes down at once. This scenario has become a popular interview question because it separates engineers with real production experience from those who have only studied documentation. Experienced candidates recognize the cascading failure risk immediately and can describe a structured debugging approach, starting with kubectl describe pod before reading logs. Broader interview questions around error budgets follow a similar pattern, where candidates who have applied the concepts in practice give meaningfully different answers than those who have only read about them.

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ProgrammingDEV Community ·

Developer Builds Modular Flight Data Pipeline Using dbt Core and PostgreSQL

A developer recently built an analytics pipeline that ingests real-time aircraft state vectors from the OpenSky Network into PostgreSQL and transforms them using dbt Core. The raw flight data — including aircraft position, speed, altitude, and callsign — required cleaning due to inconsistencies, duplicates, and missing values before it could be used for analysis. Rather than writing a single large SQL script, the developer adopted a layered architecture with modular dbt models organized into staging, enrichment, and analytics layers. dbt handled dependency management, data quality testing, and documentation automatically, allowing each downstream model to build cleanly on the previous one. The project demonstrates how dbt can bring software engineering practices such as modularity and version control to SQL-based data transformation workflows.

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ProgrammingDEV Community ·

How to Build a Quota-Safe AI Image Generator Into a Node.js SaaS App

A technical guide outlines how developers can integrate AI image generation into Node.js or Next.js SaaS applications using an asynchronous, quota-aware job system rather than direct model calls. The approach centers on a durable job record that tracks tenant identity, idempotency keys, policy checks, and estimated costs to prevent duplicate billable generations. Uploads are routed directly to object storage via short-lived authorizations, while the application accepts only object references and server-defined presets instead of arbitrary client parameters. A simple state machine handles job lifecycle, and atomic database constraints ensure that race conditions — such as a double-click in a slow browser — cannot result in two charges for one user action. The design prioritizes provider-agnostic contracts so that the core system remains stable even as AI provider pricing and quality change over time.

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ProgrammingDEV Community ·

VAT Engine launches free API for EU tax calculations in headless commerce

A developer has launched VAT Engine, a free API designed to handle EU VAT calculations for headless commerce, SaaS billing, and custom checkout projects. The API supports current and historical VAT rates, product tax classes, and both VAT-inclusive and VAT-exclusive pricing. It also includes source tagging for stores, storefronts, and sales channels. Developers can sign up for a free account, generate an API key, and integrate it into live or side projects. The tool is aimed at simplifying tax compliance for developers building commerce and billing solutions in the EU.

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ProgrammingDEV Community ·

How to Build an Automated Software Factory Workflow in 20 Minutes

A software factory is not a standalone product but a scripted workflow that automates every stage of the software development process, from finding work to marking tasks complete. The workflow comprises eight steps — including implementation, code review, opening pull requests, and recording decisions — each handled by an AI agent using specialized tools. Key capabilities required include a version control system, CI pipeline, issue tracker, institutional memory, ephemeral workspaces, and a cross-repo orchestrator, with tools like GitHub, Linear, and Polygraph cited as examples. Because no single platform covers all these needs, agents are designed to compose multiple external systems through well-defined APIs such as MCP or CLI interfaces. The article also warns that software factories frequently fail in organizations when treated as products rather than workflows, and emphasizes that a clear, agent-driven process is what makes them succeed.

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ProgrammingDEV Community ·

Why Graphs Are the Right Data Structure When Relationships Matter More Than Objects

A DEV Community article argues that not all software design problems center on finding individual objects — some are fundamentally about how objects relate to one another. While data structures like HashMaps, Heaps, and Tries each answer specific questions about single entities, graphs are built to model connections between many objects. Real-world use cases such as navigation apps, social networks, flight routing, and dependency management all depend on understanding these inter-object relationships. The article urges developers to shift their design question from 'how do I store these objects?' to 'what relationships does the business care about?' Overlooking relationship modeling, it concludes, often leads to poorly structured systems that fail to reflect real-world complexity.

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ProgrammingDEV Community ·

Python Asyncio Library Enables Concurrent I/O Tasks Within a Single Thread

Python's built-in asyncio library, available since version 3.4, allows developers to write concurrent programs using the async and await syntax. Unlike multithreading or multiprocessing, asyncio operates within a single thread via an event loop that coordinates task switching. It is best suited for I/O-bound operations, such as API calls or database queries, where programs would otherwise stall waiting for external responses. When a task hits a waiting point, it voluntarily yields control to the event loop, which then runs other ready tasks until the response arrives. Key building blocks include coroutines defined with async def, the await keyword for pausing execution, and asyncio.gather() for running multiple tasks concurrently rather than sequentially.

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ProgrammingDEV Community ·

Google DeepMind Restructures Leadership as Hassabis Moves to Chair Role

Google DeepMind is undergoing a significant leadership reorganisation, with co-founder and CEO Demis Hassabis transitioning to the role of Chair. Jeff Dean, who co-founded Google Brain and led TensorFlow's development, is taking on expanded responsibilities as Chief Scientist. The shake-up follows the 2023 merger of Google Brain and DeepMind, consolidating Google's AI research under a unified structure. Analysts see the change as a shift from a research-first culture toward faster product delivery, driven by Google's push to integrate its Gemini AI across services. The restructuring is expected to influence Gemini's development pace, Google Cloud AI offerings, and potentially the company's open-source model strategy.

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ProgrammingDEV Community ·

Developer Launches Open-Source Project to Near-Zero Users, Reflects on Startup Silence

An independent developer named Puneet built and publicly launched a web project called Rizzzler with minimal budget, open-sourcing the code to build user trust. Despite spending significant time refining the UI, adding features, and optimizing the experience, only seven users signed up after launch. Writing on DEV Community, he noted that the hardest challenge was not the technical work but the lack of traction following release. He emphasized that building a quality product does not automatically attract users — a reality he says few resources prepare developers for. Seeking honest feedback rather than sympathy, he called on fellow developers who have faced similar post-launch silence to share what they feel is missing from his product.

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ProgrammingDEV Community ·

Porting Python's natsort to Rust revealed that verification, not coding, is the hard part

A developer ported Python's natsort library to Rust for Port Mortem 2026, finding that writing the sorting algorithm was straightforward but rigorously verifying identical behavior across thousands of edge cases was the true challenge. The verification pipeline combined the original Python test suite, differential fuzzing, property testing, and mutation testing to compare outputs between both implementations. During fuzzing, the port uncovered a genuine bug in the mature natsort library itself, where numbers overflowing to floating-point infinity produced inconsistent sort orders depending on input sequence, which was subsequently reported upstream. A silent fallback to an incorrect Python adapter and five separate Windows-specific bugs — including encoding mismatches and missing executable extensions — further demonstrated that testing on a single platform is insufficient. The project concluded that achieving a compiling, seemingly correct port represents only a small fraction of the real work, with systematic, cross-platform verification making up the rest.

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ProgrammingDEV Community ·

AIoT Offers Developers a Path Beyond Chatbots Into Real-World Problem Solving

AIoT, which combines Artificial Intelligence with Internet of Things hardware, is emerging as a compelling space for developers seeking impact beyond conventional browser-based AI applications. Unlike chatbots or document summarizers, AIoT systems can predict equipment failures, automate industrial workflows, and optimize energy use by analyzing real-time sensor data. Potential project areas include predictive maintenance, smart warehouse tracking, computer vision for manufacturing, and edge AI running on devices like Raspberry Pi or NVIDIA Jetson. Industrial sectors such as logistics, healthcare, and manufacturing tend to prioritize measurable outcomes — like reduced downtime and improved safety — over consumer-facing demos, making the space less crowded than mainstream AI tooling. Developers with skills across backend, embedded systems, machine learning, or DevOps can all find relevant roles in a typical AIoT technology stack.

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