How Streaming SSE Cuts AI Agent Response Wait Time from 10 Seconds to 2

·1 views

A Senior Software Engineer at BS23 in Dhaka identified a critical UX problem in a Spring Boot AI agent where users faced a silent nine-second wait before receiving any response. The issue arose because multi-tool queries — such as combining an order lookup with a return policy check — required the model to complete all processing before returning a single string to the browser. The fix involved switching from a blocking .call() method to a streaming Flux via Spring AI's .stream().content(), which pushes tokens to the browser as the model generates them. Implemented using Spring MVC's SseEmitter for server-sent events, the change reduced time-to-first-token from roughly ten seconds down to two to five seconds. Total processing time remained unchanged, but the perceived responsiveness improved significantly, eliminating the appearance of a frozen or broken interface.

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)

Artlist, HeyGen, Synthesia Compared for AI Avatar Workflows in Production

A developer-focused analysis compares three AI avatar platforms—Artlist, HeyGen, and Synthesia—on criteria that matter most when building production-grade content pipelines. Synthesia is positioned as the enterprise standard, valued for consistent and predictable talking-head output suited to corporate and training use cases. HeyGen offers greater flexibility with voice cloning and localization features, though that flexibility introduces variability developers must manage carefully. Artlist takes a different approach by embedding avatar tools within a broader creative suite that includes licensed music and sound effects, reducing the number of system handoffs in a workflow. Licensing terms across all three platforms are flagged as a critical consideration for developers shipping avatar video inside commercial products or client campaigns.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Why Recursive File Scans Crash Storage Systems and What to Do Instead

A single recursive directory scan on a large shared storage system can freeze production workloads by monopolizing metadata I/O, as file systems like ext4 and XFS were designed to locate files by path, not to answer analytical queries across millions of entries. When a directory tree holds 50 million files, commands like 'ls -laR' or 'find' trigger O(n) traversals that compete directly with live production reads and writes. The root cause is that traditional file systems lack indexes for queries such as identifying files untouched for 90 days, forcing the OS to stat every inode individually. A data catalog addresses this by maintaining a separate, indexed database of file metadata that applications can query without touching the underlying storage. This decoupling means teams get fast answers to storage questions while production workloads remain unaffected.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

ParparVM Adds Compact Strings to Cut Character Storage Up to 50 Percent

Pull request #5421 introduces compact string support in ParparVM, the virtual machine used by the open-source Codename One cross-platform framework. Previously, every Java String was backed by a char[] array, consuming two bytes per character even for text that only requires one byte. The update follows the approach of Java's JEP 254, storing Latin-1 strings in a byte[] and wider-character strings in a char[], using a single Object field as the backing reference to avoid memory overhead. To preserve ParparVM's fused allocation optimization — which co-locates a String and its backing array in one memory block — the translator was updated to handle the new Object-typed field as a special case. The change halves character-array storage for Latin-1 strings, with the greatest savings on longer strings, while native operations and common concatenation patterns were also updated to work directly with the compact format.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

How Founders Can Use Reddit to Validate Startup Ideas Before Building

Reddit, with around 121 million daily active users as of early 2026, has emerged as a valuable tool for startup founders seeking unfiltered, unbiased feedback on their ideas. Unlike friends or family, Reddit users have no incentive to be polite, making the platform a rich source of candid customer complaints and real-world problem discussions. Founders are advised to skip large general subreddits like r/Entrepreneur and instead focus on niche communities where their actual target customers are active. A practical approach involves searching Reddit for frustrated customer language first, identifying the 3–5 most relevant subreddits, and spending time listening before engaging. Reddit's growing influence as a source cited by AI tools and search engines also means that conversations happening there increasingly shape buyer perceptions of products and solutions.

0 comments Read more at DEV Community