SShortSingh.
TopTechnologyAI & MLStartupsProgrammingScienceBusinessFinanceCrypto & Web3World
Back to feed
Programming

Bean Network Tester lets Windows developers simulate poor network conditions for free

0
·4 views

Bean Network Tester is a free, open-source Windows tool that allows developers to simulate poor network conditions such as latency, packet loss, and jitter during app testing. The tool supports both GUI and CLI usage and can be installed via GitHub, winget, or Chocolatey, though it requires administrator privileges to run. Users can apply premade or custom profiles to target specific processes, IP addresses, or ports, avoiding unintended disruption to all network traffic. Advanced features include TCP reset and sync drop simulations, scenario scripting with looping, and a connections tab for monitoring download/upload stats and active packets. The tool was built and shared by its developer as a practical starting point for network condition testing on Windows.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

Shopify acquires Tailwind CSS, then abandons React Native for Swift and Kotlin

Shopify has acquired Tailwind Labs, the team behind Tailwind CSS, which is installed over 110 million times per week and used by major platforms including ChatGPT, Reddit, and Cloudflare. The acquisition came after Tailwind's business model collapsed when AI-driven traffic reduced documentation visits by roughly 40%, leading to layoffs of 75% of its engineering staff in January 2026. Tailwind CSS will remain MIT-licensed, but commercial products Tailwind Plus and ui.sh are closed to new customers. Just 25 hours after announcing the Tailwind deal, Shopify published a post declaring native development the future of its mobile strategy, reversing its 2020 commitment to React Native. Shopify reports its rebuilt native Shop app launches 50% faster on Android and was completed in 12 weeks, though several widely used React Native libraries it maintained are now being archived or handed off.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

AI Agent Runs Cost Far More Than Expected Due to Repeated Input Tokens

A detailed analysis of real-world AI coding-agent sessions reveals that costs are driven overwhelmingly by input tokens, not output, because the full conversation history is resent at every step. A study of approximately 4,300 coding-agent sessions found that the median LLM step carries around 119,000 cached prefix tokens compared to just 875 newly added tokens and 214 output tokens. This means the accumulated context can be roughly 550 times larger than what the model actually writes in a single step. Agentic coding tasks were found to consume around 3,500 times more tokens than single-round code reasoning, with token usage varying up to 30-fold between runs on the same problem. Providers like Anthropic and OpenAI offer cache-read discounts of up to 90%, but costs spike sharply if the prefix changes mid-run, making prompt consistency a key factor in controlling expenses.

0 comments Read more at DEV Community