SShortSingh.
TopTechnologyAI & MLStartupsProgrammingScienceBusinessFinanceCrypto & Web3World

Programming

LatestTopDiscussed
0
ProgrammingDEV Community ·

What Is a REST API and Why Does It Power Most of the Web

An API, or Application Programming Interface, acts as a communication bridge that allows different software systems to interact with each other. REST APIs leverage native internet rules through the HTTP protocol, making system communication simpler and more standardized. Instead of complex commands, REST treats everything as resources — such as /customers — and uses standard HTTP verbs: GET to read, POST to create, PUT to update, and DELETE to remove data. A core principle of REST is being stateless, meaning the server retains no memory of previous requests between interactions. Every request must therefore carry all the information needed for the server to process it independently.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

WebP thumbnails beat JPEG at 1280x720 but lose at 480x360 for newer YouTube videos

A developer analyzed 1,000 YouTube videos on September 19, 2026, comparing JPEG and WebP thumbnail file sizes across three resolutions. At 1280x720 and 640x480, WebP thumbnails were roughly half the size of their JPEG counterparts, offering clear bandwidth savings. However, at the commonly used 480x360 resolution, WebP files were larger than JPEGs for 33% of all sampled videos overall. The disparity was sharper among recent uploads, where WebP was heavier 56% of the time, rising to 72% for videos uploaded in 2026. The study notes that file size alone does not indicate image quality, and the cause of the growing size gap in newer uploads remains unexplained.

0 comments Read more at DEV Community
0
ProgrammingHacker News ·

Insufficient source content — story cannot be responsibly summarized

The provided article contains no reportable text beyond a seller URL and a Hacker News thread link. No verified facts about the alleged scammer, their identity, location, or timeline are present in the source. Publishing a summary based on this content would require inventing details, which falls outside editorial standards. This item cannot be processed without a fuller source article.

0 comments Read more at Hacker News
0
ProgrammingHacker News ·

Interactive Geothermal Heat Map Charts US Hot Springs Locations

A geothermal heat map visualizing hot springs across the United States has been shared on Soaking Springs, a website dedicated to natural bathing destinations. The map allows users to explore the geographic distribution of geothermal activity and hot spring sites nationwide. The resource was posted to Hacker News, where it attracted modest engagement with 13 points and 3 comments. Such tools are useful for outdoor enthusiasts, geologists, and travelers interested in locating natural thermal water sources.

0 comments Read more at Hacker News
0
ProgrammingDEV Community ·

Realistic API Load Testing Requires User Journey Modeling, Not Just Endpoint Metrics

A software developer extended an existing API performance test suite to better reflect how real users interact with a system, rather than simply hammering individual endpoints with repeated requests. The original suite already tracked latency percentiles, throughput, error rates, and stepped load, but could not explain which real-world usage patterns those requests represented. The developer added role-based journeys for regular users, agents, and administrators, incorporating think time, staggered session starts, and distinct read and write paths. Before any meaningful latency data could be gathered, the new journey-based tests surfaced authentication, API contract, rate-limiting, and cleanup issues that the endpoint-only tests had missed. The key takeaway is that a user journey must first be functionally valid before its performance numbers carry any real significance.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Security Analysis Flags High Flash Loan Risk in Bitstamp's On-Chain Contracts

A DeFi security researcher published an analysis on September 23, 2026, identifying multiple flash loan attack vectors targeting Bitstamp's on-chain smart contracts, which hold approximately $4.53 billion in total value locked. The report assigns an overall risk score of 7 out of 10, citing vulnerabilities in price oracles, bridge withdrawal logic, liquidity pool mechanics, and governance modules. Key risks include potential oracle price manipulation that could drain up to $200 million in collateral, a re-entrancy flaw in the L2 bridge that could expose around $30 million, and a liquidity pool exploit enabling synthetic asset minting worth $50–$80 million. A governance attack vector was also identified, where a flash-minted token could temporarily grant enough voting power to push through malicious protocol upgrades via an emergency fast-track path. The researcher provided a prioritized remediation roadmap urging prompt mitigation to prevent exploitation across all identified vectors.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Google Gemini Teases More App Integrations but Offers No Details Yet

Google has signaled that additional app integrations are coming to its Gemini AI assistant, though no partner names, launch dates, or specific features have been disclosed. The teaser provides no information on pricing, regional availability, account tiers, or what actions Gemini will be able to perform within connected apps. App integrations are significant because they determine whether an AI assistant works within existing workflows or remains a standalone tool requiring manual context-switching. Analysts and businesses are advised to wait for official product documentation before drawing conclusions about any specific capabilities. Until Google makes a formal announcement, the only confirmed detail is that more apps are expected to be added to Gemini at some future point.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

K3s and Kubernetes Explained: Nodes, Manifests, and Key Commands in One Guide

K3s is a lightweight Kubernetes distribution where clusters are built from nodes — machines that serve as either server/master nodes for cluster management or agent/worker nodes for running workloads. Core components such as kube-apiserver, etcd, kube-scheduler, and kubelet handle communication, state storage, scheduling, and pod execution respectively. Administrators interact with the cluster by submitting YAML manifests via kubectl, which communicates with the API server to record and apply the desired state. Kubernetes also supports labels as key-value metadata for filtering and organizing pods within namespaces, though they cannot replace namespaces themselves. ConfigMaps provide a way to store non-sensitive configuration data in key-value pairs, which can be injected into containers as environment variables, CLI arguments, or mounted files.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Crypto strategy showed Sharpe of 13.4 until trading costs turned it deeply negative

A developer testing a cross-sectional reversal strategy on crypto perpetuals data initially recorded an impressive Sharpe ratio of 13.44, with positive returns across 67 of 76 out-of-sample windows. However, once realistic transaction costs of just 10 basis points per side were applied, the Sharpe ratio collapsed to -40.13 and every single positive window turned negative. The strategy rebalanced a full portfolio every 15 minutes, meaning high turnover rapidly eroded any apparent edge. The test used 15-minute price bars from Bybit USDT perpetuals spanning January 2021 to September 2025, covering 451 symbols across 76 non-overlapping evaluation periods. The author cautioned that the result is a development diagnostic only, not evidence of a tradeable strategy, and noted that survivorship bias in the data universe has not been fully eliminated.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Muon Optimizer Treats Neural Network Weights as Matrices, Outpaces AdamW

Muon is a neural network optimizer that differs from the widely used AdamW by treating weight matrices as linear transformations rather than collections of independent scalar values. While AdamW applies element-wise gradient statistics, Muon uses singular value decomposition to preserve gradient directions while equalizing their magnitudes — a process called update orthogonalization. The optimizer emerged in October 2024 from the NanoGPT speedrunning competition, where a Muon-based run improved training speed by roughly 35% over the previous record. It was developed collaboratively by Keller Jordan and contributors including Jeremy Bernstein, Yuchen Jin, and Vlado Boza, each refining different aspects of the method. Muon has since scaled to multi-billion-parameter language models and been integrated into the mainstream PyTorch optimization stack.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Building Crimean Tatar Speech Recognition: Why Measurement Mattered More Than Training

A developer building automatic speech recognition (ASR) for Crimean Tatar, a critically low-resource language, found that fine-tuning a Whisper model on a single consumer GPU took just 90 minutes, but rigorous evaluation took months. Initial scoring revealed a 34.6% word error rate — meaning roughly one in three words was wrong — a problem only discovered after the model had been in use for nearly a year without formal benchmarking. A carefully structured train-test split was designed to avoid data leakage by holding out entire books and unseen readers, rather than using a standard random split. Despite zero filename overlap between training and evaluation sets, a text-based 6-gram check uncovered that four audiobooks had been duplicated under different filenames, silently contaminating prior results. The experience underscores that in low-resource speech projects, data integrity and meaningful evaluation are far harder — and more consequential — than the model training itself.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Google Gemini Enterprise Adds Linear Connector for AI-Driven Issue Management

Google Gemini Enterprise has launched an official integration with Linear, enabling authorized users to search, summarize, analyze, and create Linear issues directly within the Gemini interface. The connector is exclusive to Gemini Enterprise and is not available to general Gemini users without organizational setup. Administrators must configure a Linear OAuth application, obtain client credentials, and set up a Linear data store in Gemini Enterprise before the integration can be used. Once active, the connector allows teams to access project and issue data through natural-language queries, reducing manual searching and context switching. Organizations are advised to test the connector against their existing Linear projects before relying on it as part of routine workflows.

0 comments Read more at DEV Community
0
ProgrammingHacker News ·

AgentRun: Open-Source DSL Converts Repetitive AI Agent Tasks into Workflows

A developer behind grep.ai has open-sourced AgentRun, a domain-specific language (DSL) designed to transform repetitive AI agent tasks into structured, inspectable workflows. The tool allows developers to combine tool calls, code, and lightweight decision logic alongside full agent loops, using only a full agent where genuinely needed. AgentRun's harness analyzes traces and retrospective notes left by agents to identify which parts of a job can be converted into a reusable workflow, reducing unnecessary compute costs. As a practical example, a research workflow can break a question into sub-questions, dispatch parallel agents, screen evidence, and compile a final report as discrete, independently editable steps. The project is publicly available on GitHub and includes a scripted demo that runs without API keys.

0 comments Read more at Hacker News
0
ProgrammingDEV Community ·

AI Agents Pose Real Security and Cost Risks Without Proper Runtime Controls

As developers increasingly connect large language models to APIs, databases, and tool-calling systems, autonomous AI agents introduce serious risks including prompt injection attacks, runaway token loops, and unintended exposure of sensitive user data to third-party model providers. Traditional monitoring solutions require complex infrastructure stacks — including Docker containers, Redis, and ClickHouse — which often cost more to maintain than the AI workloads they oversee. A proposed alternative approach handles security guardrails and cost controls directly at the application runtime level, eliminating the need for external observability infrastructure. The in-process method aims to prevent threats like SQL injection via malicious prompts and recursive reasoning loops before they impact production systems. Developers are being urged to adopt deterministic boundaries for agent execution to avoid infrastructure failures and data privacy violations.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Ramen 2026.09.1 Launches with Redesigned UI, Improved Branch Selector and Terminal Fixes

Developer tool Ramen has released version 2026.09.1, marking a significant update focused on visual and usability improvements rather than new feature additions. The entire application UI was rebuilt, including dialogs, editor chrome, workspace layout, and both light and dark themes, resulting in a cleaner, less cluttered interface. A new branch selector replaces the old dropdown with a larger popup supporting folder grouping, keyboard navigation, upstream tracking info, search filtering, and inline branch creation. Terminal handling was also improved, particularly on macOS where Command key shortcuts were previously mapped incorrectly, and cross-platform paste support was added. A new in-app feedback form under the Help menu now allows users to report issues directly without leaving the application.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

A Decade On, Microservices Architecture Shows Its Hidden Operational Costs

When microservices gained widespread adoption around 2014, the promise was faster deployments, cleaner scaling, and reduced single-point failures compared to monolithic systems. A decade later, many engineering teams found they had not eliminated technical debt but instead spread it across unreliable distributed networks. Splitting services introduces network latency, partial failures, and complex contract versioning that in-memory monolithic calls never faced. Without careful safeguards like circuit breakers and bulkhead isolation, a performance dip in one service can cascade and bring down unrelated systems, effectively creating a 'distributed monolith.' Experts now urge teams to rigorously assess the true operational overhead of distributed systems before breaking apart their next service.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

OpenAI and Claude APIs Now Migrate to Amazon Bedrock With Minimal Code Changes

Developers using OpenAI or Claude APIs directly can now migrate to Amazon Bedrock with only a few lines of code changes, primarily updating the base URL, credentials, and model ID. OpenAI models including GPT-5.5, GPT-5.6, and GPT-6 Astra are generally available on Bedrock, while Claude models work through the same Messages API already used with Anthropic. Key motivations for enterprise migration include IAM-based access control, private VPC networking, CloudTrail audit logging, consolidated AWS billing, and data protection guarantees. Amazon Bedrock now offers two inference endpoints — bedrock-runtime for existing Bedrock features like Guardrails and Agents, and the newer bedrock-mantle for OpenAI- and Anthropic-compatible API paths. However, some features of the direct APIs remain unavailable on Bedrock, and new capabilities typically reach provider APIs first, making migration less urgent for solo or non-AWS-based projects.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

What Is an AI Agent Harness and How Does It Work?

An AI agent harness is a software environment that wraps around a large language model, supplying it with tools and context to complete multi-step tasks. It operates on a reason-act-observe loop, where the model decides an action, a tool executes it, and the model evaluates the result before continuing. This cycle repeats until the task is fully completed, combining model reasoning with external tool execution. A practical implementation involves defining available tools such as a calculator, file reader, or word counter, along with a system prompt guiding the model's behavior. The concept draws from the ReAct framework, a published research approach that formalizes the synergy between reasoning and acting in language models.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Google Gemini Enterprise Integrates PandaDoc for AI-Assisted Contract Workflows

Google has added a PandaDoc connector to Gemini Enterprise, enabling users to search, create, and manage contract documents directly within the Gemini workspace. The integration allows teams to select a PandaDoc template, populate its fields, and send the resulting document for signature without switching between platforms. Supported lifecycle actions include document creation, review, sending, and archiving, with data-store locations covering Global, US, and EU regions. The connector is particularly useful for teams that handle repetitive, standardized agreements such as client proposals or service contracts. However, the quality of outputs depends on the organization's existing PandaDoc templates and how their fields are configured, as Gemini does not replace the need for a well-structured template.

0 comments Read more at DEV Community
← NewerPage 980 of 3189Older →