... looking for polite "nice job!" comments. I am looking for a market signal and meeting good people. The Quick Test (No Sign-Up): If you just want a 60-second glance, jump straight into the scaled-down, gateless sandbox at Docuplete Sandbox

... same old playbook: they force you to create an account, upload your private assets to their cloud servers, and then slap a massive watermark on your download unless you upgrade to a paid plan. I wanted to build an alternative that respects both developer workflows and user privacy. That s why I created FDM AI Photo Suite a professional-grade image toolkit designed to be completely browser-native . By leveraging local sandbox

... reconcile, and you can't point to the quote that justifies a finding. So I'm building the boring-but-hard part (consistency, persistent codebooks, evidence, confidence) as one endpoint, grounded in the actual six-phase thematic analysis method. Sandbox is opening to the waitlist in waves thematicanalysis.ai Curious what you'd point it at if you had it Comment from Vojt ch Ho ava(@hustlerv): SEOKRATES the SEO toolkit in 13 languages, like semrush but for normal people for normal price ... ... triangulate from what leaks anyway: funding data, hiring feeds, founder track record, third-party reviews, competitors

... buttons, switch windows, read on-screen text. The bot reads the same semantic UI structure as VoiceOver so it can act on labels you'd say out loud ('the Sign In button in Safari') instead of guessing pixel coordinates. Sandboxed by default; every action visible in the Activity tab. New Live tool-turn panel: Every assistant message ships a collapsible panel that streams tool calls (file edits, shell, search, computer-use) in real time, with per-tool renderers. The Activity ... ... authoring), GitHub workflow (PR review, repo management, code review), design and docs (concept diagrams, Excalidraw, PowerPoint authoring, nano-pdf), and SaaS integrations (Notion, Linear, Airtable, Google Workspace). Browse the full catalogue in Dashboard Skills. Improvements Sandbox

... Built to simplify complex fintech integrations. Our platform helps businesses test, integrate, and manage payment workflows faster with a seamless sandbox-to-production experience ...

... Declined" means something different to every processor Numeric codes. String codes. Both, contradicting each other. 200 OK with failure buried in the body. Normalising this took us nearly a year. Still the most thankless work we do. 2. Sandboxes lie Test environments accept edge cases production silently rejects: wrong currency combos, certain BIN ranges, specific 3DS flows. We harden every connector against real production traffic before calling it stable. 3. API inconsistency is intentional We used to assume different schemas ... ... nothing persists beyond a single request. Painful. Worth it. 5. Regional processors are a different game Stripe and Adyen have decent docs. The long tail doesn't. One processor sent API specs as a Word document. Another had no sandbox

... because of distribution, but because of what the product actually needs to do. Room Service looks at developer machines in depth: files, processes, local environments, system-level data. And that s exactly where the App Store starts pushing back. Sandbox restrictions limit access to many of the things you actually need. Some features become awkward. Some become unreliable. Some just become impossible. At that point, I had to make a choice: ship a limited version on the App Store ... ... payments, licensing, updates all become your problem you have to build trust yourself you still need to deal with Apple notarization and signing even outside the App Store There s no perfect answer here. If your app fits the sandbox

... built this to run OpenClaw safely. The problem: every sandbox I tried still handed the real API token to the agent as an env var. Nilbox uses Zero Token Architecture. Instead of securing the token after handing it over, we never give the real one in the first place. Agents get a fake token. When theymake an API call, Nilbox silently swaps in the real credential. If a hacker extracts your env vars, all they get is a meaningless string ... ... Every agent runs inside an isolated Linux sandbox

... original and the fork side by side. Test ideas without risk. When something doesn't work, just discard it. No git stash gymnastics. No "let me save this branch just in case." Build fearlessly and the best part of Sandbox? Merging. When your experiment works and you're ready to bring it back just hit merge. Invoke's AI analyzes both codebases, detects conflicts, and resolves them for you. No manual conflict resolution. No scrolling through ... ... markers. AI understands what changed on both sides and merges them cleanly. Experiment in Sandbox

... spin up more instances behind a load balancer with sticky sessions. No architectural changes needed. The maintenance stays simple regardless of how many MCP servers are running. For code execution, I needed full isolation. So I built a sandboxed environment with my own SDK. I injected HTTP functions (for API calls) and DB functions directly into the sandbox

... with no structure? those are the ones i don't trust Comment from nim(@sup_nim): honestly i think the trust issue comes down to scope. i trust ai way more when its doing one specific thing really well vs trying to be a general assistant that touches evrything. like i built speakeasy which uses ai to convert articles to audio - its just doing text to speech, nothing else. and astrologica generates daily horoscope podcasts from your birth chart ... ... trust are not the same thing. I can see a future where agents manage budgets and buy software autonomously, but I'd still want clear limits, audit trails, and approval checkpoints. Comment from Memduh Mehmet PANPALLI(@mpanpalli): For sandboxed

... happens every single day. If they mess up, the whole team sees it. The "Changes Requested" badge feels like a red letter of shame. So they hide. They over-polish. They delay. Solution: What We Built: An Ai Safe Sandbox for PRs This was the turning point for all of us specially the interns and juniors. We realized that Ai shouldn't 'just be a productivity tool' it needs to be a layer of Psychological Safety. So we built ... ... They fix the issues. Privately. Nobody sees the mistakes. No public notification. No shame. The change was instant: Velocity is Confidence They stopped hoarding code. They started pushing daily again. They treated the AI as a safe sandbox

... this helps! Layer 1: Data Sources Your raw data repositories (Salesforce, PostgreSQL, Snowflake, etc.). Traditional ETL/ELT approaches to clean and transform it needs to be done here. Layer 2: Agent Views (The Critical Boundary) Materialized SQL views that are sandboxed from the source acting as controlled windows for LLMs to access your data. You know what data the agent needs to perform it's task. You can define exactly the columns agents can access (for example, removing PII columns, financial ... ... Interprets user queries Selects appropriate MCP tools Synthesizes natural language responses Layer 5: User Interface End users asking questions and receiving answers (e.g via AI chatbots) The Flow: User query Agent selects MCP tool Policy validation Query executes against sandboxed

... everyone! Has anyone tried out the Claude Desktop and/or Cursor AI connector for Swift Missive? Using the free sandbox area at Swift Missive (after hitting "Agree") it's under Account -> Integrations -> AI Agent, then follow install instructions for your preferred agent. Once you're installed, you can just chat with your agent in Cursor (or wherever you attached the MCP server) and it will control the sandbox

... everyone! I ve been working on a small developer tool aimed at Jira admins, teams, and solo builders who need a quick way to spin up a clean Jira sandbox for testing. The idea was pretty simple: Most Jira users need a safe environment to experiment, but creating a sandbox

... Vercel , there's one thing that struck: how fast the team ships. Here's what the v0 team recently launched. The v0 iOS app shipped (public beta) Join the waitlist Accept payments with @Stripe (public beta) Create Stripe sandboxes with one click to test payment flows Claim sandboxes

... When we started Shipper 55 days ago, it was basically a text box that spat out React code into a sandbox. No onboarding. Since then, things moved fast. The first wave of feedback told us two things loud and clear: people wanted easier ways to get started, and they didn t want to lose their progress. I won't bore you with each little detail.... But here's part of what we've shipped : Starter Ideas one-click templates like ... ... project Stripe + credits small edits cost less, big builds scale fairly Onboarding flow smoother sign-up and first project experience Improved build screen while you wait, chat with the AI and see live progress Bug fixes & reliability fewer sandbox

... have been (slowly) building My Financ . I shipped some features over the past few months that felt interesting to share, so I build a sandbox that runs an almost-fully-featured version of the app ( here ) with dummy data. you can go in there, click around, and see what the feature set looks like: is this confusing? on intuition i feel like people hate guided product 'tours' so have strayed away from this, but maybe it isn't clear ... ... main goal of this effort was to make it easier for a user to understand whats behind the onboarding. Comment from Matt Carroll(@catt_marroll): FWIW there is some weirdness with the seed data in the sandbox

... task directly from my Jira sprint to baloon bot. which does the changes. For instance if you want to make a simple font change in your project and assign this task to agent right from JIRA. and also see sandbox previews. Is this available with codex or may be jules or do you have to manually set everything up ? And any way to automate this in codex? What other key differences are there beyond automated agent setup and sandbox

... just launched our new product: Digma Preemptive Observability! https://digma.ai/ It identifies performance and scaling issues in pre-production environments and provides a code-level root cause. Check out our demo sandbox and see how Digma can help here: https://sandbox.ui.prod.digma.systems