... that flag the agent contribution and other receipts that were 100 human. the market self sorts. some recruiters will value the verified AI disclosure. others will not. over time the receipts with agent transparency outperform on credibility because the alternative (resumes claiming pure human work that we all know used AI) has already lost its signal. the platform does not force the choice. it lets the market price it. Comment from Mustafa Arian(@thenameisarian): TAM Network. an AI-native alternative

... probably saw the VS Code 1.117 story: "Co-authored-by: Copilot" silently added to commits by default, including for code that Copilot never wrote. Microsoft reverted it in 1.119. Good. But the revert is the wrong ending to the right story. The developer anger was about consent and accuracy both valid. What did not get picked up in the discourse was the architectural question underneath: even when Copilot does write code, a git trailer tells you almost nothing useful ... ... capture provenance at insertion time before the diff ever hits git. Each insertion generates a structured record with roughly 40 fields: four timestamps, the full prompt body, the raw model response, 10 named capability slots indicating what was captured versus

... editor applies the change, that prompt is gone. Git records the diff. Nothing else records the origin by default. There is no reconstruct operation. I built LineageLens partly because I ran into this problem in my own workflow traced a bug to a block I had accepted from Cursor weeks earlier and had no way to recover what I had asked for. The architecture reflects this constraint directly: the Base extension (free, zero config, VS

... Thanks for checking out Audex Trace. Trace

... 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 ... ... calls, +14 for landing in an auth or payments file, and so on. Fully traceable

... doorbell. It rings the same whether it's a package or a fire. That's basically the gap Pushary fills, same hook idea you've already wired, but the event carries a real handoff (done vs blocked vs

... kept seeing the same problem around me. Developers shipping AI products had no clear picture of what was actually happening with their LLM calls in production. Costs were invisible, errors were silent, and when something broke, there was no trace. Spanlens fixes that with two lines of code. You point your existing OpenAI, Anthropic, or Gemini SDK at our proxy URL, swap in a Spanlens API key, and from that point every request is logged, costs are tracked, and agent ... ... traces

... Product Hunt, I built TraceFix after spending way too many hours on log errors that turned out to have a one-command fix I just didn't know what I was looking at. What it does: You paste a Linux, SSH, systemd, or nginx log. It tells you the root cause, explains what went wrong, and gives you the exact command to fix it. No prompts, no back and forth. Why I built it: Every engineer I know has lost ... ... analyses? What log types are missing that you'd want covered? What would make you come back after the first use? Would love honest feedback from this community especially from anyone who deals with Linux/DevOps logs regularly. Try it: tracefix.vercel.app

... monitoring, debugging, patching, scaling, and governing, still falls entirely on you. The moment your AI-generated app hits production, you're back in the same ops hell that existed before AI: waking up at 2am to a PagerDuty alert, tracing through logs, writing a fix, pushing to CI, hoping the deploy works. AI has made building software faster. It did nothing about maintaining it. That's the problem we are building Solen to solve. What Solen actually is Solen ... ... self-healing loop: the part nobody else has built This is Solen's core differentiator. Here's how it works: Monitoring detects an anomaly and fires a structured event to the diagnostic engine with full error context stack trace

... everyone While working with Claude Code in VS Code , I ran into a small but frustrating workflow issue. For months I ve been using Antigravity , which allows you to select code and press Ctrl + L to instantly send that snippet as context to the agent. Even better, you can repeat this multiple times in the same message, and the UI provides context chips that let you trace

... years and love the second brain concept. But I personally struggled with two things: - Local-first structure - Paid sync for cross-device access So I built something for myself fully browser-based and accessible from anywhere. That s how **Tracen** was born. What is Tracen

... Hello everyone, I built an open-source tool called LEAX. https://github.com/hooop/leax It s a CLI that acts as a companion to Valgrind to help understand memory leaks in C programs. It combines Valgrind analysis, GDB-based tracing, and Mistral AI to: identify the root cause of a leak explain why it happens suggest a possible fix The memory analysis itself is deterministic (based on execution traces

... PropFlow is a VS Code extension that helps React developers understand prop flow through component hierarchies. THE PROBLEM Debugging prop drilling is painful. You search for a prop name, get 47 results, and spend 20 minutes manually tracing

... useful. Comment from Navanita Devi(@navanita_devi): Dedy's point is interesting, the opacity problem is real. Most people conflate "AI having access" with "AI having unchecked control." They're very different things. Read-only access vs write access, logged actions vs

... focused expertise. Reusable Workflows Code review, debugging, implementation, testing which have built-in patterns you can run with a single command. Multi-Model Discussions Ask multiple AIs (Claude, Gemini, Codex, Grok) together and get a consensus result. Governance & Traceability Guard checks, audit trails, execution traces

... Trace tends to show up where workflows get complex. The parts of work that involve reasoning, coordination, and follow ups instead of simple triggers. If you are using Trace

... curious how people here think about a calmer, signal-first feed in practice. If you ve tried Trace already: What felt immediately useful? What felt missing or confusing? What would make it something you d actually open every day? If you haven t tried it: What would you need to see before giving a feed like this a real shot? What would make you bounce? I m early and still shaping this, so honest feedback (good or bad) is genuinely ...

... makes Sync different? 13ms Latency: Direct browser-to-browser connection via WebRTC. Your speed is determined by your fiber optic connection, not my server. Absolute Privacy: No database. No logs. No cloud storage. If you close the tab, the trace disappears. In-Chat Multimedia: You can preview images and listen to audio (MP3) directly in the chat as soon as you receive them, without leaving the application. Total Transparency: It's hosted on GitHub Pages. The code is complete ...

... tools that connect the messy middle. They route requests, hand off tasks, chase down follow ups, update systems, and generally keep work moving while you re doing literally anything else. The products in the running are @n8n , @Taskade , @Zapier , @Trace , @Relay.app , @Gumloop , @Lindy , @Wordware , @Airtop . Now we want the stories behind the automations. Which one is running your daily ops? Which one replaced a dozen tabs and a recurring headache? What workflow did you set up once and never looked ... ... that it sorta started choking towards the end, and took extra handholding (this seems endemic to the product category, and is the reason I won't use tools like Replit anymore!)... still, a 4.5/5 stars! @Airtop and @Trace

... click, and trigger workflows directly from GitHub events no pipeline setup required. If you're building automated PR review agents or documentation workflows, I'd be honored if you gave it a look. Comment from Dima Pukhov(@puhoshville): @Trace cool project and I hope it keeps evolving! The idea is there and when it works it's amazing. The builder is sometimes glitchy but not too often. Also need more agents! Comment from Alfie Ranstead(@alfieranstead): For automating ... ... agent for automating work. Whether that's a task you complete just once, or everyday, Instruct is there to help! Personally I have a dozen workflows setup around my Notion and linear workflows, helping to fill in context, track competitors

... some questions about connecting your repository to start identifying risks in your dependencies so here's a super easy guide with screenshots to get you up and running with Trace-AI! What is Trace

... Product Hunt community! When we launched Trace-AI, we promised multi-ecosystem support. Today, we're delivering: Java/Maven Central scanning is now live. What this means: Full transitive dependency analysis for Java projects (including Spring Boot, Hibernate, etc.) Same risk scoring across Python, JavaScript AND Java Unified dashboard for polyglot codebases Complete SBOM generation for Maven projects Why we built this: Most teams don't use just one language. You need ONE tool that understands your ENTIRE supply chain ... ... what ecosystem to tackle next! Product Hunt Community Exclusive: Our launch promo code is still active! Grab the code from our Product Hunt launch page and unlock 2 additional repos when you sign up. Ready to dive in? Check out Trace

... everyone, First off, a massive thank you With your support, Trace became #4 Product of the Day on Product Hunt! Seeing installs come in from the USA, Canada, India, Singapore, and beyond has been incredibly exciting for our team. Since launch, many of you have jumped straight in trying Trace

... super excited for our first launch on PH! Please check out our product here since teaser links are gone (haha) https://www.producthunt.com/prod... You should all mark yours and your network's days on Trace :) Wishing everyone who launches today the best ...

... finally cut through the fog: Move fast caution kills startups. We sprinted: - 54 expert interviews in two weeks - Shipped our first code - Closed three big pilots After a long, scrappy road we re finally building something that feels inevitable: @Trace a workflow automation platform that breaks down existing projects, assigns repetitive tasks to AI agents and routes the rest to the right people. Teams jump from idea to execution in minutes, without changing how they work ... ... fatal flaws. 2. Momentum beats certainty. Speed produces real signals. 3. Stay small and decisive. Two aligned builders beat a stuck dozen. 4. Talk to users daily. Conversations outclass conjecture. If repetitive busywork drains your team, let s chat. @Trace