... still left with a long list of known issues. The backlog never seems to dry up, it just keeps piling up. The more I ship, the healthier the codebase gets, but the queue never really shrinks. I guess that's also a good thing in a way, it's what keeps the product improving and iterating. Would love to know if others are going through the same cycle ...

... intelligent and aligned model in the world." Autonomous computer use, coding, scientific research, and the first model to trigger their "Critical" cybersecurity threshold internally. Anthropic released Fable and Mythos 5.1 within days of it. The pace between releases keeps shrinking. What actually changed with Astra: computer-use tasks run nearly twice as fast, near-perfect scores on several reasoning benchmarks, and internal safeguards tightened enough that OpenAI gated the model's most advanced capabilities behind a trusted-access program ...

... back. Smaller things you will notice Update notices in the app. When a new version is ready, a small card appears in the window. See what's new and install when you want, or dismiss it for that version. Alternate Dock icons. Pro users can pick between the classic tile and two new duck icons in Settings, under Appearance. The Dock, the menu bar and the About screen all follow. Pinned tabs as chips. A pinned tab shrinks

... Virtual Assistants OpenHuman = Productivity + AI + Open Source Upstream = Productivity + AI + Email Coming in third was the Developer Tools category, which more than doubled its growth from the previous year and saw several very large launches: Kilo Code v7 for VS Code = Dev Tools + Open Source + Software Engineering Plurai = Dev Tools + AI + API  Drizz = Dev Tools + AI + No-Code Terminal Mode by Even Realities = Dev Tools + TK Open Wearables = Dev Tools + Open Source + Wearables Around this time last year, Microsoft ... ... folded GitHub into its CoreAI group. Fast forward to this year, and it s apparent that it s still a vital tool. Here were the five biggest GitHub launches: OpenHuman Kilo Code v7 for VS

... Launched today! Lantern helps you go from "I know I should do this" to actually starting you give it an intention, it hands you the smallest doable next step (and shrinks it further if that's still too much). Would really appreciate your support/feedback: https://www.producthunt.com/prod... Happy to answer anything about the build ...

... right, and the authors project no parity with organic search within a year. Another study, from Amsive, found no significant conversion difference at all and LLM referrals under 1% of sessions. Hold both: the old channel is shrinking, and the new channel is currently a rounding error that converts fine, not magically. Anyone selling you urgency on this is selling you something. Which leaves the actual question. If the click is disappearing and the referral is tiny, where ...

... places where being wrong is expensive. The acceleration is real. I'm not giving it back. But the thing to internalize from a dataset this size is that the work of making output safe and correct didn't shrink when the output got cheap. It grew, and it moved, and if you're small it moved onto exactly one desk. Comment from Ill Robyn(@ill_robyn): The idea of treating review as a budget really stands out. Asimple rule like ...

... arrives in perfectly normal JSON and everything downstream treats it as a correct one. If someone on your team currently checks every extracted value because of exactly that risk, I also want to see whether that review work actually shrinks in practice rather than in a benchmark. Who I am hoping to hear from: Teams where extraction is already part of a real process and somebody still does not fully trust the output. Teams that have had a wrong value ...

... test has to actually catch the bug on the broken code first. If it can't, we throw it away. Real example Ran it end-to-end on a billing bug: negative seat count slipping through and shrinking a customer's plan. It found the code path, drove the real handler, stubbed only the db as a passive recorder so the app's own logic decided the verdict. Confirmed the reproduction before trusting it. No hand-holding. Comment from ... ... edge than timing, honestly. ..today the generator works from the code path + known failure classes, not your real data distributions .. it doesn't peek at samples. What it can do is reason about what the code assumes vs

... line in the codebase you'd notice. The trap is it feels like the project getting more complex, which is normal and expected. But it's actually something narrower: t he AI's working memory of your decisions is shrinking relative to how many decisions exist, so you're the one who has to keep re-supplying context it should already "know." At some point you're basically writing documentation into every prompt just to get back to where ...

... staleness: schemas and definitions drift constantly, so the agent's knowledge silently rots. 3. Retrieval failure: the right answer is documented somewhere, but the agent never finds it. Their fix is a four-layer stack: clean data foundations to shrink the space of plausible answers; a governed semantic layer as the mandatory default path (so metrics are computed the same way the official BI tool computes them); "skills" as procedural runbooks; and a validation layer of offline evals plus live ...

... just remembering which version of me the next one needs. Some days that reset tax alone feels bigger than the actual work. Curious if anyone else who juggles more than one business or product has found a way to shrink that switching cost, or if you've just made peace with losing a chunk of every ...

... compress the files and enforce strict browser caching. Here is the Nginx server block I created for his hosting setup: # Nginx server configuration for static asset delivery server { listen 80; server_name tyler-3d-market.com; root /var/www/digital-marketplace; # Enable compression to shrink files before sending over networks gzip on; gzip_types text/plain text/css application/javascript application/json image/svg+xml; gzip_min_length 1024; # Enforce strict browser caching for static resources location ~* \.(?:css|js|woff2?|png|jpg|jpeg|webp|gif|svg|ico)$ { expires 1y; add_header ...

... speed optimization and production deployment. Drivers often access this portal from remote roads with weak mobile signals, so the pages had to be as light as possible. To optimize the performance, I ran the asset minification scripts to shrink our compiled CSS and JS files. Then, I set up a custom Nginx configuration block on the production VPS. This ensures that the web server applies Gzip compression to all text files and tells the web browsers to cache static assets ...

... margin-top: 0; max-width: 100%; height: auto; } /* Only apply the overlapping negative margin on larger desktops */ @media (min-width: 992px) { .hero-main-image { margin-top: -60px; margin-left: -20px; } } By using clamp(), the headline text automatically shrinks on mobile phones while remaining big and bold on desktop screens. Restricting the negative margin to screens wider than 992 pixels completely resolved the overlapping bug on mobile devices. The hero section now looked clean and balanced on every screen ...

... most important thing is to launch as soon as you can and keep iterating to improve, and keep launching Especially with how fast everything is moving with AI, waiting for a perfect time to launch will just let competitors launch before you its become somewhat like a race even. ps. we are launching Construct tomorrow btw, dropping the launch page as well in case anyone is interested in our product https://www.producthunt.com/prod... Cheers! Comment from Ankush Singh(@ankushkun): @busmark ... ... today" is information, not a request. way less friction than any DM, and it doesn't cost the reader anything to act on it Comment from Sabber Ahamed(@sabber_ahamed): @busmark_w_nika   @abdullah_javaid3  the invitation vs

... 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

... what the actual job entails. Developers have noticed. Only 12% of developers use LinkedIn as their main source of technical information, according to a Stack Overflow survey. Most are on the platform purely because they feel they have no alternative, not because they find it genuinely useful. The Fake Everything Problem LinkedIn has a trust problem that is getting dramatically worse, not better. In the second half of 2024, LinkedIn identified and removed 80.6 million fake accounts at the point ... ... real contributions, are exactly the things the platform discourages. Meanwhile, vague motivational posts with no external links thrive. Sponsored content and ads now fill almost 40% of the LinkedIn feed. The organic space left for actual human content is shrinking

... question then becomes: when one of those does fire, how fast can the human re-enter? Standing authorization reduces the volume; a good re-entry path handles what's left. Curious what categories your operator ended up pre-authorizing vs. what still needs the pane-pull. Comment from Kidder(@hellokidder01): @alex_gidirim   Totally agree the cognitive reconstruction tax is the real bottleneck, way more than just finding the right pane. Was chatting with someone about this and they floated ... ... where you even were Try treating agent prompts like async messages rather than blocking calls kick off longer tasks before I switch focus, not during Hope this help:) Comment from Kidder(@hellokidder01): @omri_ben_shoham1  Yeah, the "thinking vs

... germs at a cellular level while safely neutralizing stubborn odors like smoke or sweat. Precision Air-Circulation & Drying: A high-efficiency internal fan system gently circulates warm air evenly throughout the unit, drying damp clothes perfectly without the shrinking or heat-damage caused by conventional dryers. Acoustically Engineered for Bedrooms: We built an ultra-quiet 38 dB silent operation signature. It runs seamlessly right next to your bed without ever disturbing your sleep. Smart Connected App: Track your wardrobe ...

... subscribers. That cohort of un-engaged contacts sitting in your account? They're a big part of the reason Gmail is sending you to spam. Cutting them is the single most effective thing you can do. But cutting them shrinks your ESP's revenue. Their pricing model is in direct conflict with your deliverability. You can't expect a company to talk you into a smaller invoice. It gets worse. The major ESPs built their businesses 10 15 years ...

... preferences for coding tasks? See full report here Comment from fmerian(@fmerian): @sarveshsea  good point! a few months ago, picking a model was mostly about their raw capability. [1] the gap between open-weight and frontier models shrinking with every release, we can now add more parameters - pricing, latency, and yes, trust as well. [1]: What's the best AI model for coding? Comment from fmerian(@fmerian): "Most teams will probably end up with routing rules, not a favorite ... ... locally (llama.cpp sidecar) and Groq's openai/gpt-oss-120b on the cloud side ... both open-weight. Once we stop trying to pick "the best model" and just treat them as different tools wired into a router, the "open-weight vs

... 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

... next step in that chain. Typing code was never the hard part anyway. Understanding what to build, making the right product calls, and handling messy edge cases is where the real work is. AI doesn t change good vs bad builders, it just changes speed. Comment from Pranay(@pranay19): I think its more scaling that might be a problem , and i mean "might" but tools are tools , it is stupid in my opinion not to use them . It's like ... ... this means for junior developers. Most good engineers got good by doing the boring stuff first, getting feedback from seniors, making mistakes on low stakes tasks. If one senior can now do the work of three, those entry points shrink

... 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