... they've just decided what they built it to do, and assumed that's the same thing. it's not. an agent operating without explicit limits doesn't mean it's safe. it means nobody has thought about the blast radius yet. curious how people are actually drawing that line in practice. is it a technical constraint, a policy decision, or something you figure out after something goes wrong? Comment from Ethan Gabriel(@ethan_gabriel): @sabber_ahamed  The inbox ...

... everyone! Adam here (@adampmp), based near Pittsburgh, PA I've spent the last ~12 years in product/program management, mostly in startups, with some enterprise exposure along the way (co-founded a consulting shop, Blast Off Apps, back in 2014, and later managed a big banking client relationship at Naehas). Since late 2023, I've gone independent and been building AI products full-time: RAG pipelines, agent workflows and harnesses, and generally the whole stack. Right now I'm heads-down ...

... data. The vendor can carry the provenance; only the org can declare what the canonical source is. Comment from Zeeshan(@zeeshan12): Agent Safety & Blast Radius FFire App Really thought-provoking breakdown. I think you've put your finger on something a lot of us are still learning the hard way that "blast

... also a great way to break things if you aren't careful. My team recently set up a strict "Zero Trust" baseline to keep things under control. Here are the 5 rules we actually enforce right now: Bound the blast radius before the first run Assume it reads everything it can reach Treat everything the agent reads as a potential instruction Verify like it's a stranger's pull request Be ready to do forensics I'm really curious ...

... source repos, and I noticed a scary gap: You git clone a project, you point an agent at it, and before you type a single command , code can already run. A .git/hooks/pre commit, an npm postinstall, a .envrc, a VS Code task set to folderOpen, a CLAUDE.md that tells the agent to curl | bash none of these show up in a normal diff review. Your agent will happily trigger them for you, because it's just following instructions. Existing tools ... ... explicit approval before I even approve anything?" So I built BlastRadius a static scanner that finds every auto execution point in a repository. It shows you the actual code, explains what triggers it, and ranks each risk by blast

... level (timestamp, user, action, immutable hash chain). that layer proves it happened. it doesnt prove the human is still endorsing it. the pre-commit version of the same primitive: 'reach x signed-off-by.' if an agent action's blast radius exceeds a threshold AND no named human attached a signature in the last N seconds, pause. same primitive, different direction. curious what other teams are doing. 1. for agent actions on customer data, do you require named human sign ...

... based review to evidence-based verification. This means building guardrails (what I call the claim checker) that bind the original intent to deterministic evidence: ACs (intents) checks, the builds, the tests, the five-axis code review, the scans, the blast radius of the code change, the docs coverage, requirements are complete and don't contradict each other, and the monitoring coverage in the code. AI can advise. But only evidence should decide whether to merge ...

... gapped on open-weights models (Ollama/vLLM with Qwen). No telemetry ever leaves the local network. Real-Time 2-Way Interruptible Voice: You can literally hit "Discuss" and have a live audio war room debate with the system to evaluate blast radius or pivot containment strategies mid-sentence. The "Trust Ladder": Deterministic guardrails so routine tasks are automated, but critical network actions enforce human-in-the-loop signoff. Check out the repo on GitHub: https://github.com/sidevworks/ar... Would love ...

... everyone, I m Marcel, founder of Deal Blast Pro. I work in real estate investing and wholesaling, and I m building a platform to help investors organize deals, analyze properties, manage buyers, collect documents, and handle dispositions from one dashboard. I recently opened the early waitlist, so I m now preparing for beta testing. I joined Product Hunt to learn from other founders, follow useful software products, and eventually introduce Deal Blast

... world. the record can say entitlement corrected, but that doesn't erase the two days someone had free access, or in my world, a phone call someone already heard. the test catches the bug, it doesn't undo the blast radius that already happened before it was caught. Comment from Omri Ben-Shoham(@omri_ben_shoham1): the stale event flipping a canceled sub back to active is the one that'd actually scare me, that ... ... ordering because it was captured as typed events in the first place. diff the timestamps, count the affected rows, there's an artifact. a live call has none of that once it's over. you can't scope the blast

... requests a day to 10,000 an hour is a completely different game. The proxy setup that worked fine at low volume will break spectacularly at scale. Here's what we learned the hard way. 1. Distribution is everything Blasting thousands of concurrent requests from the same subnet is a fast track to a ban. At scale, you need to distribute traffic across IPs, regions, and ASNs. The goal is to look like thousands of different users in different locations ...

... review time spent verifying behavior didn't shift - and that trade is almost never worth it for code nobody's actively working in. The one addition I'd make: how much I trust an opportunistic refactor scales with blast radius, not with how ugly the code looks. A messy pure function with full test coverage is low risk even as a standalone cleanup. A messy function that touches shared state or external calls, I want a feature reason before ... ... refactor that flattened a nested conditional into early returns and quietly changed which branch ran first when two conditions were both true, tests passed because none of the existing tests covered that overlap case. Gal's blast

... what it actually does: It sees your screen and acts on it Not summarizes. Not suggests. Clicks, scrolls, fills forms, and navigates any page, on its own. It builds Google Sheets and Docs from scratch "Make me a competitor pricing table with graphs." It opens the tabs, pulls the data, formats the sheet, builds the charts. You just watch. It runs WhatsApp & Telegram like a personal assistant Broadcast to 50 contacts at once. Send follow-ups with Word docs ... ... attached. Message from your phone, get a finished file back. Nobody else does this. It monitors pages and pushes you alerts Price dropped? Ticket available? Competitor

... output before it ships, or has trust just gone up over time? Comment from Omri Ben-Shoham(@omri_ben_shoham1): @Gal Dayan the "symptom now, confirmed root cause later" split is a good habit, I'm stealing that. The blast-radius-not-volume trust point matches my own experience too - it's not that the agent gets more trustworthy over time, it's that I've gotten better at keeping the diffs small enough that I can actually ... ... case where forcing a smaller PR wasn't possible, like a schema migration that has to touch several files at once - do you just accept the "still digging" answer in that case or find another way to shrink the blast

... evaluating providers, look at: geographic diversity (city-level targeting is a game-changer for local market research), ASN distribution, and whether they actually vet their residential sources. Cheap proxies are expensive in wasted engineering hours. 3. Configure concurrency thoughtfully Blasting 1000 concurrent requests from the same subnet is a surefire way to get flagged. Distribute your traffic across IPs and regions, implement smart retry with exponential backoff, and add realistic request timing. The goal is to look like human traffic ...

... thenameisarian   This is the version I actually believe in. Binary was always the category error, the unit of trust was never the agent, it s the task class. The one thing I d add: weight the reset by blast radius, not just count. Ten clean runs earning auto-approve is great for reversible stuff. But I never want a category where the failure mode is a deploy or a db write to graduate on a success streak alone, because ... ... tasks the agent completed autonomously without me needing to undo the work. after ten successes in a category, that category becomes auto-approve. one failure resets it to watched. slow to build but you know exactly what to trust vs

... completely figuring things out as I go, but I m having a blast building some basic tools and just letting my creativity fly! I love the vibes here so far. Excited to check out some of your cool projects, and I'd love to get some feedback on mine down the road ...

... code reviewer. So I stopped asking "should I approve this PR" and started asking two things instead: how confident am I it works, and how bad is it if I'm wrong. That splits everything into three lanes: Zero blast radius (docs, copy, an endpoint nothing depends on yet): the agent merges it. If it's wrong, I revert it - costs me nothing. Most feature work: a QA agent buys the confidence instead of me. It opens the preview ...

... Hunt community! To be completely honest, I'm not a professional developer. I've been building my apps using AI and "Vibe Coding"(just telling the AI what I want and making ti work!). It's been an absolute blast, but coming to this global stage, I hit a massive wall: the language barrier. Right now, I'm using a translator to write this post and read all of your amazing comments. It's a bit challenging ...

... labor. But the demand for tighter IaC integration is real, and the community articulated why: Ahmad's @blah_mad framing was precise before deploying an agent-generated IaC change, he wants a "handoff receipt": source sim run, changed resources, blast radius, rollback path. The episode history and final config are stable today. Blast

... Product Hunt, I got sick of buying massive e-commerce lead lists only to find out half the stores were dead, and the other half were getting blasted with the same generic cold emails. Pitching brands blind is a waste of time. So we built Prospectori. Instead of a random directory, we pre-audited thousands of live stores to find actual technical defects across their entire site like broken tracking pixels, script execution drops, and mobile performance bottlenecks. The goal ...

... handling, deliverability tuning, bulk sending, cold outreach sequences, white-label hosting, IMAP/SMTP, the works. If you have questions about any of it, ask below. Happy to go as deep as needed. Cold email deliverability and domain health AWS SES vs other sending infrastructure Setting up outreach sequences without burning your domain White-labelling email hosting for clients Email infrastructure at the foundation level Anything else email Drop your question. Comment from Niyati Sethia(@niyatisethia): @thenameisarian  It is important ... ... main reasons ESPs don't want their users to be spammed, and the big tech would rather that you use their ad eco-system to reach to new users. That said, smaller businesses that want to outreach, but not blast

... across 14 platforms from one calendar, one subscription, no per-seat fees) because I wanted it for myself. Free plan, no card: https://www.xreplyai.com/?utm_so... But I'm genuinely curious how others land here. Do you tailor every platform, blast one version everywhere, or just pick one network and skip the rest ...

... whether a behavioral floor, even an imperfect one, is better than no floor at all. Curious if anyone here has built or worked with review quality measurement systems and what signals you found actually correlated with genuine engagement vs. nominal approval. Project: https://www.lineagelens.dev/ Comment from Fabrizio Pfannl(@fabriziowexare): Interesting framing, the 1-sec-per-line floor reads sensible. The more durable signal you might already be sitting on is content-of-comment: did the reviewer reference something ... ... false-positive rate on "deep" drops sharply if you require one such reference per non-trivial PR. Google's code-review tone-of-comment study ( https://research.google/pubs/pub... ) breaks down the comment-quality dimension nicely; pairing it with a blast

... were the thing itself when it's the cheap proxy for the thing. Blast radius (1 recoverability) is the real quantity, and your two failure cases prove it cleanly: the trivial-irreversible timestamp over-fires because blast