... exited cleanly rather than verifying that the live container is actually healthy. A single missing environment variable can leave your service crash-looping in the background while your terminal prints a green success message. What sanity checks or health probes do you always verify manually after letting an AI tool handle your deployment? Comment from Hisashi Space(@hisashispace): Yes, and that's why "the command exited cleanly" doesn't count as done for me. Deploys only go through the script ...

... funny watching teams panic over model safety guards while their container network policies are wide open. If an agent manages to probe internal services or reach outside connections, it s not because the model got "too smart" it s because the isolation layer was poorly built from day one. Prompt tuning won't save a leaky environment. How does your team usually test your container boundaries before shipping? Comment from Haris Morris(@haris_morris): @konstantin_tikhaev  That's interesting ...

... interface. Every ARP pass (every 30s) re-reads which subnets the Mac is attached to and drops anything that isn't on one of them, pings only go to devices on a current subnet, and port probes re-check the LAN before each connection... so after a swap the next pass is already on the new network tbh there's one gap: the network details (gateway, DHCP lease, DNS) are read at launch and on a manual refresh ...

... parameter that is absent means the old behaviour, new error codes get mapped back to ones the old app understands, and the additive part (new rules, a new function) is deployed first, the changed one after. Then I probe the changed endpoint with an unauthenticated call and read the logs. For removing an old field, the smallest check I would trust is the same as yours, logs showing no reads or writes of it, but on mobile I would ...

... event and promo images sent on their own each take a slot, and the version you send next is refused with an error whose real reason is buried in the response's associated errors. If asc subs probes codes and surfaces those buried reasons, that alone would save people an afternoon ...

... WPA3's SAE, 18 is OWE. That's enough to write the record myself and hand it to a fresh CWNetwork: func network(_ record: [String: Any]) -> CWNetwork { let network = CWNetwork() network.setValue(record as NSDictionary, forKey: "scanRecord") // private: probes and tests only return network } func rsn(_ akms: [Int], mfpRequired: Bool = false) -> [String: Any] { ["IE_KEY_RSN_VERSION": 1, "IE_KEY_RSN_MCIPHER": 4, "IE_KEY_RSN_UCIPHERS": [4], "IE_KEY_RSN_AUTHSELS": akms, "IE_KEY_RSN_CAPS": ["MFP_CAPABLE ... ... what the flag means, that test fails first, and its doc comment says which comment in the classifier has become stale. Caveats, honestly scanRecord is private. Setting it through KVC is fine in a test target or a throwaway probe

... check the result instead of its own log: gcloud run services describe SERVICE --region REGION --format='value(status.latestReadyRevisionName,status.latestCreatedRevisionName)' should print the same name twice, then a request to the service URL should answer 200. We wrote up startup probes and health checks here (I make Exodus): https://exodus.elim.io/blog/heal... Comment from Sara Ford(@sara_ford_goog): @seflm  Hi Marek! Thanks for the question! The app must be deployed directly to Cloud Run. Comment from Jaclyn Iulianetti(@jaclyn ... ... pattern comes back: state kept in memory, files written to local disk, timers or loops inside the process. The data step copies the database and compares it before the domain switch, and the service gets a startup probe

... then yours. Now the plugin, its parents and anything inside it are refused, and an unrelated folder needs --force. The Where the deploy goes section of the WP Bones docs make:* never overwrite your work. A second make:controller Probe used to replace the file you were editing. Now it stops; --force if you mean it. tinker shows its errors instead of printing nothing, and never runs an exception message as code again. Failures exit 1 , so scripts ...

... security version is worse than an empty table. If the thing inside the try is a permission check or a token validation, and the catch returns 200, then every failed check reads as a pass, and the harder someone probes it the more reliably it lets them through. Two things that catch it from outside: compare the response to a request that should fail with one that should succeed, and if they're identical, the check isn't running ...

... build power, grow food, and research your way to the Moon and then to Mars. Each world has one resource the others need, so you run freight between them. The story ends when you send a fleet of probes out to the stars and your colonists go into a long sleep. What they wake up to is the ending. After that, the worlds are still yours to keep building. Why: a game that just keeps running never feels finished ...

... that only shows up when real money or real users are involved. What we're building toward: connect FetchSandbox MCP, prompt "make this app survive in prod," and the runtime reads your app config, infers the invariants that matter, probes against failure scenarios, then returns a public receipt with the full trace. Agent finds the bug, proposes the fix, re-runs to prove it held. Who this is for: builders on Lovable (or similar) who shipped something real and need ... ... Genuinely curious how you're handling this today. Is there a verification step most are running, or is it mostly ship and find out? Comment from Raj Nagulapalle(@rnagulapalle): @rabnoor_s  100% agree on the business call vs

... Base44, etc. on the same stack. Same risk: anon key in the client, policies that look fine until they aren't. So I spent a day on hackymacky. Paste a URL. It checks the client bundle for secrets and probes anon Supabase permissions. MVP is rough. Looking for honest feedback: Is this a real problem for you, or already solved somehow? What would you want scanned that this doesn't cover yet? Anything about the flow that feels dumb ...

... state. for the concurrent case, the test that actually catches it stages two reads so the older result commits last, then checks the newer state survived. Comment from Raj Nagulapalle(@rnagulapalle): @siarheihamanovich  Yeah that's actually how our probe engine works already, every run fetches current state from the provider before injecting anything so the twin always has real data to reason against. So we're aligned there. The concurrency one though, two concurrent fetches where the stale write ...

... actually happened. Done : @maschiojv asked about Paddle, it now has 21 curated failure patterns instead of a bare spec import. @galdayan and @henry_s_jung both asked who keeps the sandbox honest over time. There's now a fidelity probe that fires the same request at the real provider and at our sandbox and diffs the result. It's already caught four real drifts in our own simulation. @vansh36 flagged the favicon was still the Next.js default. Fixed. Half done ...

... biggest measurement gap right now. Referral traffic only tells you when AI already sent someone your way. It doesn t tell you which prompts you appeared in, why you were chosen, or more importantly, all the prompts where a competitor was recommended and you weren t. That s why I think tracking actual model answers across a defined set of buyer intents is becoming the closest thing we have to Search Console for AI discovery. And your last point ... ... today, and that blind spot is the part that bothers me most. Comment from Nivy(@niveditha_patluri1): @bencohen  we track it. 20 buyer questions against a grounded model, aug 19. we came back mentioned in 0 of them. competitors

... exists. ) Behind a mail gateway? Proofpoint and Mimecast tenants don't advertise Microsoft in MX at all, so unknown domains now get one quiet "Work or school account?" line instead of a shrug. One line. We counted. The DNS probe goes through the machine's own resolver (DnsQuery_W) your domain never visits a third party, results are memoized, the whole thing is capped at 3 seconds, and if it fails the screen looks exactly like it did before. Fixed ...

... route table instead of the site is better than what I did and I am going to take it. Testing the matcher at the matcher also removes the thing that made my version slow, which is that every probe costs a round trip, so you stop early and call it clean. One axis worth adding to the generator, because it bit me today on a different property: the same path can return different things depending on request headers. I have ... ... coverage report is the concrete thing I'm taking from this. Different cadence, different granularity, and I'd have kept staring at coverage waiting for it to say something it structurally can't say. The absent-from-your-logs versus

... finally read the whole study instead of the headline, and the actually useful findings are different from what got shared. First, in their realistic-config lane (instruction file + several MCP servers), the "light" harness came out HEAVIER: ~90.8k vs ~75k. A 72KB instruction file alone added ~20k tokens to every request, on both harnesses. Their own conclusion: configuration, not the harness, accounts for most of the production bill. The harness sets the floor, you set the ceiling. Second ... ... close to a fixed cost. An unstable small one can out-spend it. Size isn't the sin, churn is. Third, session shape flips the winner anyway. On a multi-step task the heavy harness finished cheaper (121k vs

... server on 127.0.0.1:3000 genuinely refuses connections from anywhere else so the check says "closed". Accurate, and completely useless. The most interesting services on the machine you care most about are exactly the ones a network probe can never see. Local Services a new tab on This Mac that doesn't probe

... I built SpatialProbe a 3D globe for exploring real terrain and imagery, layered with data earthquakes, wildfires, Wikipedia points of ...

... stick for you. Comment from Siarhei Hamanovich(@hamanovich): @monatruong_murror  I don't have that data cleanly either, and I'm the one who built the thing that would produce it, which tells you somethin. The cheapest probe I've found is the refill date. My free balance resets to 5 credits every 30 days, counted from each user's last renewal rather than a calendar date, so every free account hands me a small natural experiment ...

... keep a daily probe that asks the assistants the buying questions in my category and records every source behind every answer. Last week I pointed it at Google's two AI surfaces, the AI Overview box and the fuller AI Mode, and counted. Thirteen answers. 168 citations. Every single answer used a different domain for each of its sources. Not one domain was cited twice, in any answer, the whole week. Thirteen of thirteen, no repeats. That stopped me, because ...

... take a fixpoint over. Would genuinely like to hear how you're approaching it. Comment from Giovambattista Fazioli(@gfazioli): @rabnoor_s  The "no artifact to review" line is the actual finding here, and it reframes what the probe is for. I'd been thinking of it as one more thing to check; you're describing it as giving an invisible property a location, which is a different and better job. A quarterly reminder with no page to open ...

... questions we got in our Product Hunt comments this week came from a researcher who asked something I've been thinking about ever since: When an AI moderator detects hesitation or an emotional shift mid-interview and decides to probe deeper how do you make sure the follow-up question uncovers the participant's thought rather than planting it? This is a real and serious concern. A human moderator reacting to visible confusion can easily lead a participant without realising ... ... phrase a follow-up the word you choose, the tone you use, even which moment you decide to probe

... time to finish the gallery. Does the day of the week still matter much in your experience, or is that mostly a myth now? Comment from (@new_user___26020267b63ea4605738cbb): Launching BillFast today has reinforced the ready enough vs. finished distinction for me: the core flow (create an invoice, preview it, download a client-ready PDF) is narrow and usable, while feedback is now surfacing the edges currencies, taxes, templates, and payment instructions. For a small product, that feels ... ... limited testers. They gave us the first feedbacks for us to make the app better. After we didn't succeeded with a try on LinkedIn, where the feedback was nearly zero, we are on our way to find good alternatives