... debugging, research, and repeated testing. So I built Mustham API, a multi-model API platform that provides access to: GPT Claude Gemini Grok You can choose the specific model and route you want instead of having different sources silently mixed together. Many routes are priced at less than half of the corresponding official API price. The platform also provides direct support. If you encounter problems with integration, streaming, latency, stability, or model configuration, we will help investigate them. Free testing ... ... api.mustham.com Open the Community section Post your username and ask for testing credits We will add free credits to your account I m especially looking for feedback from developers using real coding workflows, including Cursor, Claude Code, Codex, VS

... built Codex Desktop Custom Models because experimenting with alternative model providers inside one desktop installation can quickly mix

... into my first real technical friction point. When I went to run the frontend build tool to customize the theme colors for our brand, the compilation failed. The template was set up to compile styles using Laravel Mix (Webpack), but the node dependencies in the default package.json file were a bit older. When I ran npm install and then tried to build the assets with npm run dev, the build script threw a deprecation error. The older Sass compiler ... ... package.json dependencies and swapped out the deprecated Sass compiler for sass-loader and Dart Sass. I then updated the webpack.mix.js file to correctly handle the new compiler. Here is the configuration I used to resolve the compilation issue: const mix

... During our Product Hunt launch, a commenter asked for a way to lock in a favourite rain + thunder blend without re-dragging the sliders every session. It's live now mix your ambient sounds, hit "Save mix

... tool solves my potential users. If both groups point out the same issue or suggest the same improvement, it almost always becomes a top priority in the roadmap. What makes feedback relevant to you? The number of testers? The mix of respondents? Or the way the feedback is collected? Finding: Developers were able to give me detailed and more accurate feedback than users itself. Developers spotted many things, recommended things while user said: It's okay. :D Comment from Andrea ... ... tool that surfaces that signal natively without custom event wiring? Comment from Sabber Ahamed(@sabber_ahamed): @busmark_w_nika   @abdullah_javaid3  the random-id-on-activation trick is the right call. weekly active hides exactly the churn-vs

... ensure it doesn't generate harmful responses. Compliance helps ensure it follows relevant policies and regulations. Governance helps answer questions about how it's being managed, monitored, and operated in production. The terms overlap, but they solve different problems. Mixing them together can sometimes make conversations more confusing than they need to be. Which of the three terms do you think gets misused the most? Comment from Riya Pariyar(@riya_pariyar): governance gets misused the most, and i think ...

... everyone Solo dev here. I got tired of juggling three apps for music one for my MP3s, YouTube for discovery, another for playlists. So I built Youtube-MP3-Mobile: one app, local library + YouTube search/streaming, mixed playlists, no download hacks that get banned in a month (uses the official YouTube API). What's in v1: Local player with EQ + background playback Search YouTube by name or link Mixed

... Everyone! I'm just starting to the cross platform build out, and curious to see how you others decided to maintain their projects. What parts are you okay with a mixingvs. definite hard boundary no cross contamination whatsoever ...

... worker. For UI testing, a remote headed browser is not just a convenience. It changes the debugging loop. Instead of asking "what did the script think happened?", you can ask "what did the user actually see?" ### Harness Code vs Local Agent Harness Another important decision is where the agent capability should come from. One option is to build the entire reasoning layer yourself: call an LLM API directly, manage prompts, retries, tool calls, screenshots, JSON parsing, and safety rules. That ... ... gives maximum control, but it also means the test harness becomes an AI platform project. The alternative

... median points needed to break the top 5 and top 10 on each day. Check the full report here: https://app.databox.com/shared/a... The short version: Saturday is the easiest day. Only 266 median points to crack top 5, vs 360 on Wednesday. That's a 35% harder climb on the worst day vs

... Google recently announced and pushed two new models into the Gemini API. For informational purposes, I am breaking down what's confirmed vs. what's just early testing chatter so far. Nano Banana 2 Lite (gemini-3.1-flash-lite-image): Text-to-image in around 4 seconds. $0.034 per 1K-resolution image. Positioned as the direct replacement for the original Nano Banana. (gemini-2.5-flash-image) Rolling out across AI Studio, the Gemini API, Gemini Enterprise, and consumer surfaces. (Search ... ... image fast and cheaply with a lighter version, then feed it into Omni Flash to animate it. Google's demo apps (Anywhere, Space Lift, Omni Product Studio) are all built around that exact pipeline. Early hands-on reports are mixed

... indie creator from Chennai, India, and I started RandomTyms while trying to solve this problem for my own family. My children wear glasses, and I wanted them to see heroes who look like them, speak a natural mix of Tamil and English (Tanglish), and navigate the same modern world they do. So I began experimenting with an AI-powered workflow built entirely on a smartphone to see whether one person could create engaging educational stories without traditional production resources. RandomTyms ... ... user___1702026e6f946759d1d798a): This is also one of the first things investors look for. A polished demo can attract attention, but if someone cannot quickly understand who has the problem, how painful it is, and why the current alternatives

... Gemini, since more buying decisions now start there instead of traditional search. If you want to see how an AI agent currently reads your own site, we put out a free tool that shows what an AI fetches vs. what humans see: https://axp.thepublive.com/audit... . Would genuinely welcome feedback from this crowd! Comment from Olajide(@unclej): Building thematicanalysis.ai It's an API that turns piles of open-ended text such as survey answers, reviews, interview transcripts, support tickets into actual ... ... Comment from Ryan Weller(@ryan_weller): What you're building TrailSmoke ( trailsmoke.net ) , a wildfire smoke and air quality tracking application centered on a live AQI map, pulling in NOAA smoke modeling data (near-ground air quality vs

... proper tool calls. A response from some backends carries both. The adapter we shipped this week (`openai_ chat.py ` in the LineageLens proxy) handles all three patterns: tool-call edits, text-content edits (Aider SEARCH/REPLACE, unified diffs, fenced blocks), and mixed responses where both appear together. It covers Aider, Cline, Continue, Copilot CLI, Goose, Windsurf, and any OpenAI-compatible backend Azure, groq, fireworks, mistral, together.ai . The hardest design decision was not the parsing. It was fail-open vs

... Cost Wall Creating 24 consecutive AI video clips using only the absolute most expensive SOTA models costs a fortune. It makes long-form creation completely inaccessible to normal people. We spent months figuring out how to orchestrate a mix of low-cost but highly capable models, reserving the heavy compute only pro users, so we can keep the platform genuinely affordable. The 5-Second Sync Trap Most of the top video models output clips at a constant, rigid duration usually ... ... audio, so the final cut feels like a human edited it. The result: Now, a user just types a raw script, picks a style, and hits go. The agent handles the character consistency, fights the API timeouts, mixes

... both content and   product work.   2. Google Search Console I basically live in it. For anything SEO, it's the only honest source of truth   about what's actually happening vs. what I assume is happening.   3. Ahrefs keyword and competitor

... Something I built led to a design decision I want to get feedback on. LineageLens is a free VS Code extension that captures every AI code insertion and scores it for risk on a 0 100 scale. Works with Cursor, Copilot, ClaudeCode, Gemini CLI. Zero config on install just start using your AI tools and your insertions start showing up in the sidebar. The scoring is deterministic rules: +28 for credential-like material, +24 for eval/exec patterns, +22 for subprocess ... ... This solves a problem I didn't realize I had until I read this. We've been using AI-generated code in production for months and honestly have no clear picture of which parts were written by AI vs

... Setting IDEs aside for this one - Cursor, Windsurf, VS Code + Copilot live in a different conversation. I'm specifically curious about CLI-and-agent territory. A year ago the answer for most of us was straightforward: open Claude Code or Codex, talk to it, ship code. That CLI was the entry point. Now the stack is wider. Hermes, OpenClaw, Klesh, custom MCP-based orchestrators, personal AI runtimes like PAI (Daniel Miessler's Personal AI Infrastructure), homegrown agent setups - some ... ... OPEN FIRST? Claude Code / Codex / Gemini CLI directly - still the cleanest A specific agent on top (Hermes, OpenClaw, Klesh, etc.) - name yours A personal infrastructure layer (PAI, custom runtime, your own framework) A custom orchestrator you built yourself A mix

... galdayan): our setup ended up being a Slack webhook per agent session, posted to a channel only that agent writes to. sounds basic but the key part was making the notification say WHY it's waiting (needs approval vs finished vs

... single audio block, Orchestria uses a multi-agent framework to break down your request. The Conductor agent reads your prompt to determine musical parameters like tempo, key signature, and genre, while subsequent agents program drums, compose melodies, and mix the track using virtual instruments. Writing a good prompt is simply a matter of feeding these agents the right details. Defining Key, Tempo, and Energy You can control the technical foundations of your track by specifying the tempo, key, and style ... ... routes background pads to Diva, specifying FM keys or bells triggers Dexed, and asking for modern texture pads routes them to Surge XT. For the low-end, requesting sub-bass or 808s will route the bassline to Vital. Customizing Mix

... sidebar all day: the assistant should feel like  your  workspace, not a generic gray panel tied only to macOS light or dark. Insight for other users:  Oasis includes  seven assistant chrome themes  (mix of light and dark). They style the  assistant UI only  (sidebar, header, chat chrome). They do  not  recolor the websites you browse. Your pick is saved and reapplied through Oasis prefs and the assistant bridge, so it sticks ... ... menu , preview options, and choose what fits your light or dark preference. You can often pick separately per appearance mode when that option is offered. Gallery and details: https://kahana.io/docs/assistant... Questions we would love your take on: Chrome vs

... watch your OpenClaw agents, here is something new. We just shipped an integration with OpenInfer, which routes each inference workload to the most efficient hardware across its partner cloud. The combination means you can run an agent across a mix of GPUs and CPUs and still see exactly what ran, where it ran, and what it cost, per session and per sub-agent. No code changes, still read-only. Full write-up: https://clawmetry.com/blog/makin... Try it: https://clawmetry.com/openinfer ... ... Curious if anyone here is running on mixed

... want to avoid friction. Friction being active thinking in this context. That pushed me to think less about using AI in general, and more about AI modes: Supportive modes explaining unfamiliar code exploring tradeoffs critiquing a plan testing assumptions Mixed modes generating boilerplate suggesting refactors drafting documentation Risky modes blindly accepting generated solutions delegating architecture too early debugging through AI without understanding the root cause Over time, these habits shape how we think as builders. I started grouping these patterns ... ... into 4 cognitive archetypes : AI Architect AI expands your thinking without replacing ownership. AI Balancer Mostly healthy usage, but mixed

... fintech startup and we've just raise $4m So we rebuilt our context system, to help Pretty Prompt give better results. (Best part, the user owns that context, and can use it across any LLM) Launching today Instructions vs Memory. Instructions Explicit rules that always apply. Examples: No em-dashes Keep answers under 512 characters Use bullet points Memory Background context that only appears when relevant. Examples: My audience is non-technical I'm launching on Product Hunt and like ... ... personal without adding more work. Still bootstrapped. Still shipping PH community, give us feedback; we need it. (PS - I vibed this thumbnail, don't judge me ) Comment from Malani Willa(@malani_willa): I ve honeslty struggled with AI tools mixing

... note before we start: What follows is fiction. A thought experiment set in an alternate world that only looks like ours by accident. Any resemblance to real labs, real bosses, or real workplace policies is the reader s imagination doing the heavy lifting. With that out of the way. We ve seen this movie before In this imagined world, strip the hype off AI (artificial intelligence, software that learns from huge amounts of data to answer questions, write text ... ... really coming from Here is the part nobody can fully explain. Every company, every government, every school suddenly has to adopt AI. Right now. Faster. The pressure does not match the actual results yet. Real productivity gains are mixed