Instantly

Instantly AI

Instantly AI

Instantly AI

Instantly AI

Instantly AI

Instantly AI

Instantly AI

Instantly AI

Instantly AI

Instantly AI

Instant anxiety when I see this in Claude's thoughts

This is always the start of a 10 minute spiral where Claude overcomplicates everything submitted by /u/IllustriousWorld823 [link] [comments]

Built an invoice-scanning service for our accounting team in one afternoon with Claude — sharing the architecture in case it helps someone else

Our AR team was hand-keying ~25 invoices a week into a spreadsheet. I had Claude build us a Python service that watches a network folder, extracts invoice data from any PDF dropped in (vendor, dates, totals, line items, addresses), and appends a row to a shared Excel register. Total chat-to-deployed time: about half a day, including all the deploy headaches. The architecture, for anyone who wants to replicate this: Python service on our Windows file server, registered with NSSM. Auto-starts with the host. watchdog library polls the SMB share for new PDFs. Each new file goes through a pipeline. Two-tier extraction: per-vendor regex templates first (free, instant, deterministic), then Azure AI Document Intelligence "prebuilt-invoice" model as a universal fallback. Azure handles OCR for scanned PDFs natively, so the same flow works whether AR drops a digital PDF or our MFP scans one from paper. SQLite on the local disk is the source of truth. The shared .xlsx is a curated view that gets appended to on each batch. Delete the .xlsx and it'll repopulate fresh from the next batch — handy for resetting. Failed extractions go to a Failed\ folder with a sibling .error.txt explaining why. Cost reality check: Azure DI free tier covers 500 pages/month. At our volume (~25 invoices/week, mostly 1-2 pages) that's well under the cap. Paid tier is roughly $0.01–$0.05 per page. Cheap enough that I don't think about it. Gotchas I ran into so others don't have to: Azure returns addresses as structured objects, not strings. If you naively str() them you get the raw Python dict repr in your spreadsheet. Format them manually from street_address / city / state / postal_code. On Windows Server, PowerShell 7's Restart-Service can throw "Cannot open service" against NSSM-wrapped services for no good reason. Use nssm restart instead. Python 3.14 is so new that some package wheels aren't published for it yet. Stick with 3.12 for production. Tracking "what's new this batch" is way simpler than maintaining a watermark in DB. Just snapshot MAX(invoice_id) before and after the batch, and only project that range to the spreadsheet. Things I'd add if/when I have time: vendor templates for our top 5 recurring vendors (cuts Azure cost to zero for those), a daily canary PDF for monitoring, swap the LocalSystem service account for a dedicated low-privilege one. Happy to answer questions about any specific piece. The whole thing is ~1,500 lines of Python plus a deploy script. submitted by /u/Blake_Olson [link] [comments]

The Hybrid Method: how I split tasks between the chat (Claude.ai) and a background agent (Claude Code)

After a month of running this daily, I've settled on what I call the Hybrid Method: keep Claude.ai (the chat) as my only surface, and delegate engineering work in the background to Claude Code. The chat writes the engineering prompt, launches the executor, supervises through the filesystem and git log, and reports back without me ever opening a terminal. The piece I find most useful to share is the **allocation matrix** — which kind of work goes to which engine. Took weeks of measurement to stabilize. **Background agent (Claude Code) handles:** Large refactors across many files Tedious mechanical work (renaming patterns, applying fixes from a list) Anything that needs filesystem + git access without back-and-forth Tasks that take more than ~2 minutes of pure execution **Chat (Claude.ai) handles:** Architecture decisions and tradeoffs Reviewing the agent's diff and discussing the output Sprint planning while the agent runs the current sprint Quick edits where the round-trip to a background process is wasted Anything where the answer needs human reading anyway **The hand-off:** The chat writes a detailed prompt for the background agent (including a fail-fast spec and what to commit at the end). It launches `claude --headless --instruction "..."` as a subprocess via a small MCP bash bridge (~200 lines of Python using Anthropic's MCP SDK; community implementations exist too). Then it polls the git log and a status file every 30–60 seconds while I plan the next thing. When the agent finishes, the chat reads the diff and reports. **Why "hybrid":** The analogy is the hybrid car. Two engines with different load profiles. The chat is electric — instant startup, smooth low-load, great for transitions and decisions. The background agent is combustion — cold-start cost (5–15 seconds while it loads the project's memory file and explores the repo), but sustained throughput once running. They specialize, they hand off, the user never feels the seam. **What changes from running Claude Code alone:** Context-switching cost drops to near-zero — I never leave the chat session Strategic and execution work happen in parallel (the chat plans the next sprint while the current one runs) The chat acts as supervisor — better wired for high-level reasoning than the executor agent which is wired for action **Caveats:** This is the operator pattern Anthropic has documented elsewhere; the specific assembly (Claude.ai web as the chat + an MCP bash bridge + Claude Code as the executor) is what I haven't found written up specifically No sandboxing on personal hardware; if any of this ever runs on someone else's machine, careful sandboxing is non-negotiable The chat saturates beyond ~2 parallel background tasks — past that, the supervision quality drops Curious whether anyone else has converged on something similar, or what variations work for you. submitted by /u/Krycekk [link] [comments]

Coffee, Claude, and Remotion is all you need to make launch videos.

https://reddit.com/link/1tik0qe/video/9bh6ypr3ca2h1/player A few hours, Claude Code + Remotion, 4 black coffees, no design tools, no After Effects, no editor. The whole trick: Remotion is React for video. You write JSX, you get an mp4. Every animation is interpolate(frame, [start, end], [from, to]). That means Claude Code can write the entire video for you — it already knows React, animation is just numbers, and you can iterate the same way you iterate on a landing page. Change a value, re-render, see what happens. That feedback loop is the whole unlock. I described the scenes I wanted, Claude wrote them, I tweaked timing and cut whatever felt slow. 5 small things that made it not look like a dev made it: Crossfade every cut. Don't hard-cut between scenes. Overlap them and blur-fade. Instantly stops feeling like a slideshow. One easing curve everywhere. cubic-bezier(0.22, 1, 0.36, 1) (expo-out) on every animation. Consistency in motion is 80% of "looks designed." Film grain + vignette overlay. Two dumb components on top of everything — SVG noise at 2% opacity, soft dark vignette. Cheapest cinematic upgrade in existence. Layered audio, not one track. Background music low, plus targeted SFX - whoosh only on chapter cuts, typing during the hook, pop on the CTA. Overdoing SFX is the #1 amateur tell. Cut ruthlessly. If a scene doesn't earn its place in 3 seconds, kill it. The first cut is always too long. Stack: Remotion, React, TypeScript, Claude Code, Google Fonts (DM Sans + Crimson Pro), a few SFX from freesound.org, one royalty-free background track. $0 in tools. Bonus meta thing: the video isn't a screen recording of my product. It's a Remotion-built launch video that features a real video output from my product (the Cultured AF deck one). So I used InkMotion to make the demo footage inside the launch video. Probably should've just used InkMotion to make the whole launch video and saved the 4 coffees. Next time. Happy to answer specifics in the comments. submitted by /u/Top_Commission_8567 [link] [comments]

Had a close call with AI hallucinations. 6 months after shifting my workflow to Claude, here is my engineering breakdown.

Six months ago, an LLM almost cost me a major B2B client. It generated a technical answer that sounded flawless and 100% confident, but it completely messed up a decimal point on a critical equipment specification. The client was an engineer. He spotted it instantly. That was a brutal wake-up call. Since then, I stopped using AI as a casual chatbot for client-facing stuff and moved our internal workflow to Claude. Here is my honest, practical breakdown after 6 months of daily use in a technical firm. 1. It actually stops when it doesn't know Most models are trained to be "helpful" at all costs, meaning they prefer to lie and hallucinate a parameter rather than admit they lack data. Claude is different. When it hits a gap in the spec sheets I provide, it actually stops and says it can't find it in the source. In engineering compliance, a dry "I don't know" is worth infinitely more than a confident lie. 2. Context isolation using Projects Repeating your guidelines and templates in every new chat is a massive waste of time and tokens. It also leads to memory drift. I started putting our master templates, product boundaries, and strict formatting rules into Claude Projects using basic XML tags (like and ). It keeps the data isolated and ensures the model actually remembers the constraints even in long, complex sessions. 3. Prototyping tools via Artifacts We frequently need quick math tools for client presentations—things like custom ROI calculators based on our machine data. I asked Claude to build one, and it generated a working, self-contained HTML/JS file via Artifacts in about 20 minutes. No local dev environment setup needed, just straightforward logic that worked out of the box. The takeaway: For me, it wasn’t about chasing benchmark scores. It was about finding a model that can actually follow strict negative constraints (what not to do) when stakes are high. Anyone else using Claude specifically for technical auditing or compliance? How are you catching errors before they reach clients? submitted by /u/J-Freedom-AI [link] [comments]

If AI writes better than humans, what becomes valuable?

If Artificial Intelligence eventually writes better novels, essays, scripts, poems, and even personal stories than humans, what exactly becomes valuable afterwards? For centuries, creativity and self expression were seen as uniquely human traits; proof of intelligence, emotion, struggle, and imagination. But if machines can replicate all of that instantly and at scale, does society begin valuing authenticity over quality? Does human made art become a luxury? Or do we eventually stop caring whether something was created by a person at all, as long as it makes us feel something? And if artificial intelligence can generate infinite content tailored perfectly to our tastes, will creativity become democratized… or meaningless? submitted by /u/ScholarPositive3947 [link] [comments]

Running multiple Codex sessions on macOS with separate app data

I recorded a short tutorial showing a macOS workflow for running multiple Codex sessions side by side, either with separated app data or with the same shared account. The first use case is separation. One Codex session for work, another for personal projects, and maybe another for experiments, without all of them sharing the same app state. For example, this can help keep a work account and a personal account separate instead of switching back and forth inside one shared app environment. I'm using a Mac app I built called Parall to create the launchers. It works with apps already installed on the Mac and creates independent launchers for them. The original app is not modified. There is another useful mode too. If a Parall shortcut is configured to not override the data path, it reuses the same account. That means you can have two Codex windows running the same account at the same time. This is useful when you have multiple tasks processing in Codex and want to watch them side by side. Inside the Codex app, you have to switch back and forth between tasks. With separate launchers, you can keep multiple active sessions visible at once, which can improve productivity. In the video, I show step by step how to create a separate Codex launcher that runs with its own data, then launch multiple Codex instances at the same time to show them working side by side. You can create and run as many instances as your Mac's RAM allows. When data separation is enabled, Parall creates a home-like structure inside the selected app data path. That folder can include symlinks that keep useful host configuration shared, for example SSH and Docker configs. This makes the setup flexible. You can remove symlinks or add new ones, so you control what is separated and what is shared between each Parall shortcut and the host. This is data separation, not full isolation. Each Codex instance can still access the same project folders on your Mac. This is not specific to Codex. Parall can also be useful with other AI coding tools and with most non-sandboxed Mac apps where separate app data or dedicated launchers are useful. Important notes: To run multiple Codex instances at the same time together with the original Codex app, the main Codex app must be launched first. To avoid that limitation, create multiple Parall shortcuts and use those shortcuts exclusively. I recommend disabling auto-update for all instances except one. Once that one instance updates Codex, restarting the other instances makes them use the latest update instantly. To log in to different accounts, close all Codex instances except the one you are logging in to. After logging in, you can run the instances at the same time. Curious how others are managing multiple Codex workspaces or accounts on macOS. submitted by /u/JulyIGHOR [link] [comments]

I built a free dashboard for managing parallel Claude Code sessions

After running multiple Claude Code sessions daily for a few months, I got tired of two things: cmd-tabbing between terminal windows trying to remember which session needed my attention, and losing sessions after a terminal crash or machine restart then hunting through --resume to find them. So I built Muxara — a small always-on-top desktop app that manages your Claude Code sessions inside tmux. Sessions persist through terminal closes, app restarts, and machine restarts. Reopen Muxara and everything is where you left it, no --resume needed. It shows all your sessions as live status cards, auto-detecting whether each one is waiting for input, actively working, idle, or errored. Sessions needing input sort to the top. What it does: - Sessions persist through machine restarts — no more lost work - Shows last few lines of terminal output on each card - Click or arrow-key to switch to any session instantly - Creates new sessions with automatic git worktree isolation (no branch conflicts) - Per-project configurable bootstrap commands Install (Homebrew): brew tap muxara/muxara && brew install --cask muxara It is macOS only, built with Tauri (Rust + React) and tmux under the hood. I know Anthropic has their paid Claude Code Desktop now. This is a free alternative for those of anyone who prefer the CLI workflow. GitHub: https://github.com/muxara/muxara Happy to hear your feedback. https://i.redd.it/v613hqpvv42h1.gif submitted by /u/Electrical-Donkey340 [link] [comments]

GitHub Copilot user thinking of switching to Claude, is Pro ($20) enough for Android dev?

Hey everyone, I’m currently using GitHub Copilot for Android development, but I’m thinking about moving to Claude because I keep hearing good things about it for coding. Most of my work is: Android app development Kotlin / Jetpack Compose Refactoring and debugging Long coding sessions with lots of context I’m trying to understand which Claude plan is actually enough for a solo developer. For people using Claude heavily for coding: Is the $20 Pro plan enough for daily Android development? How fast do you usually hit the limits? If I hit the Pro limit, can I instantly upgrade to Max and continue working immediately? Would love to hear real experiences before switching fully from Copilot. submitted by /u/Feisty_Leather5848 [link] [comments]

I built an open-source VS Code extension to visualize and debug Claude Code sessions in real-time

Hey everyone! Running Claude Code in the terminal is amazing, but I hated the "black box" feeling of not knowing exactly what the agent was doing behind the scenes, or when it got stuck in an infinite loop. To solve this, I built **Argus** — an open-source visual debugger and observability tool for Claude Code right inside VS Code. Key features: * **Real-time Timeline:** Streams the JSONL transcripts instantly to show agent steps (Bash, Read, Write, WebFetch). * **Dependency Graph:** Visually maps out which files the agent is touching and how they connect. * **Cost & Loop Detection:** Caught a few duplicate reads and retry loops that were burning tokens unnecessarily. It’s completely open-source (MIT) and lightweight. I’d love to hear your feedback on the architecture or features you'd like to see next! GitHub: https://github.com/yessGlory17/argus submitted by /u/fIak88 [link] [comments]

ChatGPT Ads for tech magazine in 80s

Ask ChatGPT to create an ad for ChatGPT in 1980s tech magazines style. submitted by /u/tupikp [link] [comments]

What the hell 😭😭

I was planning to ask it to pick a random number, and the amount it picked was the no of humans it killed, but this was unexpected submitted by /u/BroSrsly-_- [link] [comments]

Claude Code context-window: /clear after EVERY task in the codebase or are there edge cases?

So I have been recently coding a bunch with the following setup: I am launching Claude Code CLI inside of my repo (a complete shopify theme; if you are unfamiliar it is 3-8mb of source code, structurally something like this: layout/ 2–3 files (theme.liquid = root shell) templates/ 15–25 files (one per page type, JSON or liquid) sections/ 30–50 files (reusable page blocks) snippets/ 20–40 files (sub-components, like partials) assets/ 30–60 files (css, js, svgs) locales/ 5–10 files (i18n JSON) config/ 2 files (settings_schema.json = theme editor config) ) I also have an app set up that shows, what the current usage of the models context windows is currently at in %. Recently I have been wondering: say I give claude quite a heavy task that involves the typical stack of 3 files (1 .js, 1 .liquid and 1 .css) and this instantly bumps up the context window from 0% to 10%, is there a golden rule that one should always do /clear after such an extensive task or does it depend if say, the next task depends on the same 3 files? Do you guys have any advice on when the perfect time is to /clear? What are your experiences with this? Do you know of any addons that could facilitate this decision making to get the most out of ones usage? submitted by /u/Own-Breakfast-1374 [link] [comments]

Claude Code changed how I use terminals, so I built this for myself

I know a lot of people solve this kind of thing with tmux/tmuxinator/etc, and honestly those tools are great. I used a mix of tabs/layouts/workspaces for quite a while myself. But after using Claude Code heavily for months, I realized my workflow had changed pretty dramatically. The shells stopped being temporary terminals and started becoming long-lived workspaces with context attached to them. I constantly ended up trying to remember which session was doing what, reopening folders, rebuilding workspaces after restart, or re-asking Claude for context I had already worked out earlier in the day. So I built this for myself. It’s basically a desktop workspace manager around AI coding shells. It persists/restores all sessions automatically, groups related shells/projects together, lets me search across sessions, attach my own notes/context to them, instantly spin up new shells or git worktrees in the same project, and jump directly into the related folders/files. The goal wasn’t really to replace tmux, but to build something more workspace-oriented around long-running AI coding sessions specifically. Originally this was just a personal productivity tool, but after showing it to a few other developers I figured maybe other people here are hitting the same problem too. https://github.com/umage-ai/CodeShellManager submitted by /u/Simple_Injury7102 [link] [comments]

Google Drive MCP connector returning generic errors on every query — anyone else experiencing this? MAX plan, 5 days unresolved.

Has anyone run into persistent Google Drive MCP connector failures where every search query returns a generic error immediately after reconnection? I have been dealing with this for five days on a MAX plan. The connector shows as successfully connected — OAuth completes, the Connected screen appears — but every query fails instantly with no specific error message returned to the user. Troubleshooting completed without resolution: Full OAuth disconnect and reconnect from both Claude and Google sides Deleted Claude connection from myaccount.google.com/connections Multiple full cold shutdowns and restarts Enabled built-in Node.js for MCP in Claude Desktop extension settings — system Node.js was showing as Not Found, which may be relevant Incognito mode, single tab, no extensions This appears to be a server-side issue since all local troubleshooting has been exhausted. Anthropic support has not been able to resolve it through the standard ticket channel. Curious whether others have seen this and whether there is a known fix or workaround? submitted by /u/HowlingRat9639 [link] [comments]