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ProgrammingHacker News ·

Guide Explores Using Tmux to Manage Claude Code Sessions and Send-Keys Limits

A guide published at crystl.dev examines how the terminal multiplexer tmux can be used alongside Claude Code, Anthropic's AI coding tool. It covers managing sessions and using send-keys to pass input to running processes. The article also discusses the practical limits, or ceiling, of this approach. The item was shared on Hacker News, where it received 4 points and no comments at the time of capture.

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ProgrammingDEV Community ·

QuoteCraft Uses Open-Weight AI to Turn Client Requests into Freelance Quotations

QuoteCraft is an open-source tool that converts informal client project descriptions into structured, professional quotations for freelancers and small agencies. It generates a project overview, deliverables, timeline, itemized pricing, and assumptions, which can be edited with totals recalculated automatically before PDF export. The application is built with Python, Streamlit, Groq, Pandas, and ReportLab, using the open-weight GPT-OSS-20B model accessed through Groq's inference API. The developer highlights that the architecture is not tied to one proprietary model provider and could be adapted to other hosted or local open-weight deployments. The project was submitted to the Hacktoberfest Open-Source AI Challenge.

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ProgrammingDEV Community ·

Proxylity Releases AWS CDK Library for Serverless UDP Gateway Listeners

Proxylity has released @proxylity/cdk-udp-gateway, an AWS CDK construct library for its UDP Gateway service. The UDP Gateway provides managed UDP, WireGuard, or DTLS listener endpoints that deliver inbound datagrams in batches to AWS destinations such as Lambda, SQS, and S3. Previously, developers had to provision these listeners by hand-writing CloudFormation custom resources, including manually built IAM roles and least-privilege policies. The new library lets developers define the service in typed TypeScript, Python, or other supported languages instead. The article explains the library's layered design, with a faithful low-level layer kept separate from higher-level ergonomic constructs.

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ProgrammingDEV Community ·

PocketLedger AI Turns Receipt Photos Into Organized Expense Records

PocketLedger AI is an open-source personal expense tracker built for the Hacktoberfest Open-Source AI Challenge, aiming to cut the tedious manual entry that causes many people to abandon expense logging. The app uses OCR to read receipt images and pull out merchant names, dates, totals, and line items for review before saving. It also aims to categorize transactions consistently, flag possible duplicate entries, and present spending through visual analytics. The developers emphasize reducing unnecessary data sharing by exploring local AI processing, positioning privacy as a core design concern.

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ProgrammingDEV Community ·

How Technology Is Simplifying Online Price Comparison for Shoppers

Shopping online makes it easy to browse products, but the same item often appears at different prices across sites, with varying delivery fees, stock levels, and promotions. Manual comparison across many stores is slow, particularly for categories like electronics and appliances. Price comparison platforms address this by gathering listings from retailer feeds, APIs, and data partners, then matching identical products and normalizing prices for fair comparison. Accurate matching relies on identifiers such as GTINs, UPCs, and model numbers, since simple text searches can treat the same product as different items. Because API coverage and update frequency vary by provider, developers are advised to choose sources carefully and disclose when prices were last refreshed.

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ProgrammingHacker News ·

Critique Argues Flatpak Poses Serious Security Risks

A blog post titled "Flatpak – An Insecurity Nightmare" has been shared on Hacker News, drawing a small amount of attention with three points and no comments so far. The post, hosted at oro.gay, is presented as a critical examination of the Flatpak Linux application packaging system. The available metadata does not include the full text of the article, so its specific arguments cannot be confirmed here. Readers interested in the security claims would need to consult the original post directly.

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ProgrammingDEV Community ·

Flower-counting pipeline scores perfectly only because its simulator and detector are tuned to each other

The author argues that the Bloom-Counter project's reported 99.7% detection recall says little about real-world performance. The simulator paints flowers in colors chosen to fit the detector's HSV ranges, and its scoring compares only totals rather than matching individual objects. To test this, the unmodified detector was run on simulated scenes under altered lighting and with leaf occlusion and clustered blooms added. Stricter per-object scoring still gave a perfect score on the original scenes, which the author attributes to the co-tuned design. The stress tests were then used to measure how the detector fails and whether two simple remedies help.

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ProgrammingDEV Community ·

AppTutorial: Open-Source Windows Tool Gives On-Screen, Step-by-Step Software Guidance

A developer has built AppTutorial, a Windows tool that offers interactive, on-screen guidance for complicated software such as Excel, IDEs, and web apps. Users press a hotkey over an app, and the tool captures the window, identifies the software, and proposes tutorials or accepts a custom goal. It runs entirely on a local open-weight vision model, Qwen2.5-VL served through Ollama, so no cloud AI or API key is required. Each step is highlighted on screen and verified against the live display, with Excel currently the most thoroughly tested. The project was submitted to the Hacktoberfest Open-Source AI Challenge, and friends and acquaintances who tested it gave generally positive feedback.

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ProgrammingDEV Community ·

Cheap Proxy Pricing Hides the Real Cost of Scraping, Says New CLI Tool

A proxy reseller's advertised rate of $0.49 per 1,000 requests looks inexpensive, but scraping teams are billed for attempts rather than usable pages. Blocks, soft challenge pages, timeouts, and silently incomplete responses all count toward the invoice without producing data. A developer built check-proxy-tax, a roughly 200-line standard-library Python CLI, to measure the gap between sent requests and usable responses. The tool counts a response as usable only if it returns an exact 200 status and, optionally, contains a required marker string. Its output reports usable percentage, effective cost per 1,000 usable pages, and a cost multiplier that can be used to evaluate proxy plans.

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ProgrammingDEV Community ·

MyZubster Details Session-Bound Actions and Identity Model for Its Metaverse

The MyZubster team has described its metaverse architecture, including a public interface showing 25 characters and 7 verified explorers. Its backend ties world actions to authenticated sessions and checks lease validity before any state change. Authentication, authorization, and lease status are treated as separate checks. Contributor identities drawn from GitHub activity are kept distinct from accounts, professional profiles, and verified external identities. Characters are added only after explicit contributor opt-in, so no one is represented without consent.

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ProgrammingDEV Community ·

How TypingMind's solo developer reportedly earned $10,000 in ten days

Solo developer Tony Dinh launched TypingMind, a desktop chat interface for ChatGPT that lets users search chat history and organize conversations. Shortly after OpenAI released its ChatGPT API in March 2023, he built and shipped the product within roughly a day and a half. Users supplied their own OpenAI API keys, so Dinh avoided server costs that scale with usage, and he charged $9 while the product was still in beta. According to Dinh's own account in a podcast interview, the product earned about $1,000 on day one and more than $10,000 within ten days. He credited the result largely to an audience of around 90,000 Twitter followers he had built over two years by sharing his revenue and experiments publicly.

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ProgrammingDEV Community ·

Uttar drafts grounded customer replies for small sellers using a local open-weight model

Uttar is an app that helps small Instagram and WhatsApp sellers answer routine customer questions about price, cash-on-delivery, and delivery times. It matches each message against the seller's own product catalog and shop rules, then uses a locally run model to produce a few draft replies in the seller's language and past voice. Sellers review and send the drafts themselves, and the app flags questions it cannot answer from the seller's data instead of guessing. The developer chose a self-hosted model because per-token API pricing would exceed the planned subscription cost, and it keeps customer conversations on the device. Early testing also showed the model inventing policies, which the developer addressed with explicit rules against unlisted answers.

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ProgrammingDEV Community ·

FOCUS Standard Offers One Cost Schema for Comparing AWS, Azure and Google Cloud Bills

Teams running workloads across several clouds often rely on custom spreadsheets or scripts to reconcile bills, which break whenever a provider renames a field. The FinOps Open Cost and Usage Specification (FOCUS) is an open billing-data standard that all three major providers can now export in, giving common column names and meanings. The article argues that agreeing on a shared schema should come before dashboards or optimization work, since it lets a single query answer cost questions across clouds. Key columns such as SubAccountId, ServiceName, ChargePeriodStart and Tags help answer where, what, when and who for each charge. Provider-specific extensions are prefixed with x_ and are best kept out of shared queries.

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ProgrammingDEV Community ·

Study Tests How Often Web Vulnerability Scanner Findings Are Real

The author examines how many findings a web vulnerability scanner reports are genuine, arguing that false positives erode trust and waste responders' time. The scanner, Web-Vuln-Scanner, is an open-source early-stage project that requires explicit target and authorization confirmation before running. It currently implements four checks: reflected XSS, error-based SQL injection, security response headers, and sensitive-path probing, while other features remain unimplemented. The author tested the pipeline against six targets designed to measure detection of real flaws, correct handling of clean sites, the nature of false positives, and the pipeline's limits. The results indicate that the sensitive-path and error-based SQLi checks produced false positives because they lack a baseline comparison against normal responses.

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ProgrammingDEV Community ·

Guide Shows How Subnet CIDR Pro Helps Plan IPv4 Networks Offline

A DEV Community guide explains how the Subnet CIDR Pro app for iPhone and iPad can handle IPv4 subnet calculations and address planning. Using the example 192.168.1.100/26, it shows that the prefix yields 64 total addresses and 62 conventionally usable hosts, and it notes that the entered address is a host inside the subnet rather than the network address. The article compares common prefixes such as /24, /26, and /28 to show how prefix length affects capacity. It then demonstrates Variable Length Subnet Masking (VLSM) for a homelab or small office, allocating blocks from the largest host requirement downward. The author recommends leaving room for growth and verifying the proposed address boundaries before deploying them.

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ProgrammingDEV Community ·

Before Launching Google Ads: Essential Setup Steps for Small Businesses

An IT and digital marketing agency owner in Ranchi notes that failed Google Ads campaigns often stem from unprepared foundations rather than the ads themselves. The article advises defining what counts as a useful enquiry, such as a booked call or a form submission, instead of relying on vanity metrics like website visits. It recommends a single specific offer, a targeted geography, and a dedicated landing page that matches the ad's promise and works well on mobile. Tracking through Analytics and conversion actions should be verified with a test submission before launch. Finally, it stresses having a clear plan for responding quickly to leads during ad hours.

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ProgrammingDEV Community ·

WhatsApp Utility Messages Undercut SMS in India, But Marketing Costs Five Times More

An analysis of messaging costs in India finds no single cheapest channel, with per-message cost depending on message type. A WhatsApp utility message comes to about ₹0.14 delivered including GST, slightly below an SMS transactional message at roughly ₹0.22. A WhatsApp marketing message, by contrast, costs about ₹1.02, around five times an SMS. Voice broadcasts cost about ₹0.47 per answered call but can reach people with feature phones and no data connection. The analysis argues that channels should be chosen by message type and audience rather than by headline rates, and it notes that delivery and answer rates vary and should be tested on a pilot batch before scaling.

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ProgrammingDEV Community ·

Two-Week SQL Learning Recap Covers Window Functions, Joins, CTEs and Subqueries

A developer documents two weeks of intensive SQL study at luxdevHQ, starting from the basics. The write-up walks through window functions such as ROW_NUMBER, RANK, LAG and LEAD, along with aggregate functions like COUNT, SUM, MAX and MIN. It also covers the join types (inner, left, right, full outer, cross and self) and explains Common Table Expressions alongside several subquery forms. Each concept is illustrated with example queries drawn from a hospital visits dataset.

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ProgrammingHacker News ·

DeepSeek v4.1 Flash 1017 Scores 45 on Artificial Analysis Benchmark

A Hacker News post reports that DeepSeek's v4.1 Flash 1017 model received a score of 45 on the Artificial Analysis evaluation platform. The post links to the model's profile page on Artificial Analysis, where its benchmark results are listed. The submission drew 38 points and 8 comments from the Hacker News community. The available details are limited, so the post does not explain the scoring methodology or compare the result against other models.

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