Super User Daily: July 30, 2026
The loudest signal today isn't a new feature, it's memory. Person after person is wiring an Obsidian vault or a knowledge graph into a shared external brain that Claude Code, Codex, OpenClaw and Hermes all read from, so no session ever starts from zero. Right behind it: people rationing the weekly cap by shoving the token-heavy execution onto Codex or cheap open models and keeping Claude only for planning. And the non-coding column keeps filling up, from a Peru corruption-data probe and a cuneiform tablet to Tekla structural models built off a single 2D drawing, while the money stories got specific, with teenagers and one-person shops clearing tens of thousands from deliberately boring website and file-cleanup tools.
@artic_ai [Claude Code]
https://x.com/artic_ai/status/2082196884354216165
Describes a solo operator running a one-person web-design agency on Claude Code, using 7 agents on Claude Sonnet coordinated by an orchestrator in Claude Code Router. The agents scan Google Maps for local businesses with weak or outdated sites, build mockups and landing pages, generate short vertical promo videos, and run outreach, sharing state via the filesystem and MCP servers. Reported figures: ~3M tokens/day, ~$480/mo API spend, ~47 clients at ~$400 each, ~$18,800 revenue, with a mobile agent replying to leads and booking Calendly calls. The owner only steps in when a deal exceeds $3,000 or the reply rate drops below 12%.
@galdawave [Claude Code]
https://x.com/galdawave/status/2082227590182629722
An engineer at an early-stage startup analyzed their Anthropic API bill and found 84% of cost came from cache reads and writes, not input/output tokens, especially in long sessions where Claude Code is the main orchestrator. Compaction only helped briefly before cache costs jumped again. They switched to planning with Fable, filing a Linear ticket, then starting a fresh Sonnet session and letting Codex implement, cutting cost about 50%. Takeaway: watch cache reads/writes, not just token counts.
@ChShersh [Claude Code]
https://x.com/ChShersh/status/2081961241879207963
A user asked Claude Code to read a PDF spec; unable to find a tool to extract the PDF as text, it wrote a full PDF parser in Python from scratch just to finish that side task.
@chrispisarski [Claude Code]
https://x.com/chrispisarski/status/2082236016161677644
A detailed account of building in-house sales/GTM workflows by connecting Claude Code to their stack via MCP (HubSpot, Slack, Google Workspace, Fathom, Crustdata, Instantly). Walks through concrete prompts and subagent-verification loops for ICP/TAM mapping, cold-email warmup, signal-based lead lists, lookalike lists off closed-won deals, and champion job-change tracking. Each workflow has Claude enrich data, score prospects against an ICP file, and only alert humans on qualifying signals.
@takechan_lawyer [Claude Code]
https://x.com/takechan_lawyer/status/2081894144642031632
A lawyer reports that at a gathering of fellow professionals, several said Claude Code has eliminated the clerical work they used to hand to office staff, and some have actually let staff go. He frames it as AI-driven job displacement already visible in professional-services work.
@Voxyz_ai [Claude Code]
https://x.com/Voxyz_ai/status/2082160670519492811
Shares a full voice-cloning delivery workflow to run on the Fish Audio API from Claude Code or Codex, structured as five project-scoped subagents (test-planner, sample-checker, fish-runner, blind-test-maker, delivery-gate) run in order. It enforces real tool use (ffprobe/ffmpeg to inspect reference audio), a permission consent gate, private voice creation, blind A/B scorecards filled in by the voice owner, and a delivery gate that blocks output unless permission, files, and sign-off all line up.
@EXM7777 [Claude Code]
https://x.com/EXM7777/status/2082193966024601731
Rebuilt an AI film-generation pipeline from scratch inside Claude Code. They wired every video/image/music model into one agent, extracted a style contract (lens, lighting, palette, grain) from real cinema via a vision model, and generated locked reference frames with Higgsfield. The agent then wrote each shot prompt from a fixed template and animated keyframes with Seedance 2.0, while a subagent fleet ran generations in parallel under rate limits and the final cut rendered autonomously with a 4K upscale.
@marvinvonhagen [Claude Code]
https://x.com/marvinvonhagen/status/2082146245276217838
Describes pairing Claude Code with Coast Local screen-recording software. Local agents began querying the Coast CLI on their own to check what the user and prior agents had done, effectively turning it into a memory system for Claude Code and the Devin CLI. In one case Claude Code one-shotted pulling a presentation from Coast recordings, cropping each frame, and combining them into a finished PDF without being asked.
@santtiagom_ [Claude Code]
https://x.com/santtiagom_/status/2082175883956343224
When building a feature with Claude Code or Codex, this user spends about 80% of the time writing the spec. The spec defines guardrails, behaviors to preserve, evals for correctness, scope, which decisions the agent can make alone, and an explicit exit condition. He stresses the stop condition: without it the agent keeps refactoring and expanding scope, so a good spec sets the agent's margin of autonomy.
@mikenevermiss [Claude Code]
https://x.com/mikenevermiss/status/2081984383838216308
Lays out a parallel multi-agent Claude Code workflow: create a separate git worktree and branch per task, launch a Claude Code agent in each terminal, and give each a different task in the same repo so they run in parallel. Afterward review the PRs, merge the good ones, and add a review agent that checks each PR against the original spec. Notes rough capacity of ~20 agents on 48GB RAM and ~50 on 128GB.
@AinaAiTech [Claude Code]
https://x.com/AinaAiTech/status/2081959963904139499
Tested Graft, which builds a version-controlled knowledge graph of a codebase as linked Markdown files inside the repo so the agent reads context first instead of grepping and following imports each time. In testing it noticeably reduced unnecessary tool calls and made coding tasks feel faster without hurting output quality, using no embeddings, vector DB, or daemon. It works with Claude Code, Cursor, Codex, and Gemini.
@eptwts [Claude Code]
https://x.com/eptwts/status/2082110884562833793
A workflow built in Claude Code to recreate viral videos. An agent finds winning videos via the user's own TikTok research API (filtered for 100k+ views and high sales intent), spins each into its own project folder, downloads with yt-dlp, uses PySceneDetect to split scenes and ffmpeg to grab start/mid/end frames. The whole video goes to the Gemini API to analyze hook, pacing and structure and returns JSON, then Claude Code writes one gen-prompt per scene and regenerates each scene with Seedance 2.0.
@MichLieben [Claude Code]
https://x.com/MichLieben/status/2082174529292718231
A designer now builds LinkedIn infographics in Claude Code + Figma (Figma's MCP connected to Claude Code plus design skills), producing 150+ so far with some near 100,000 organic impressions while spending one-fifth of her previous time. He frames infographics as high-performing because a 1050x1380 image fills the whole feed, and offers to share the exact Figma-to-Claude-Code setup.
@tsumulog_ai [Claude Code]
https://x.com/tsumulog_ai/status/2082087496318693853
Reports that passing just a URL to Claude Code lets it pull a product landing page's color scheme and layout straight into a short video, useful for promo videos of one's own landing page. As a test they handed it a Canva site URL and it reproduced the colors and fonts directly in the resulting video.
@Manaminimalist [Claude Code]
https://x.com/Manaminimalist/status/2081958967018938386
After being told their single job was to build a Claude Code skill for making LINE stamps, the user dropped all other work to build a skill (plus a supporting Brain) that automates LINE stamp production from creation all the way up to just before the submission button.
@itsalexvacca [Claude Code]
https://x.com/itsalexvacca/status/2082107005133869358
The team runs all of its LinkedIn content (source of 65% of inbound) from Claude Code, built on two pieces: a Client OS memory (one folder per person, 8 files loaded each run, anchored by a voice profile, tiered ICP, and content pillars) and a 7-stage pipeline. Stages cover profile rebuild, strategy from five sources, a content mix cut by job and audience, hook development (20+ variants from 59 templates) gated by de-AI, blind-score, rule-check and human sign-off, a pipeline board, a month-ahead calendar, and a learning loop that flags voice drift. It advises building the voice profile from a recorded conversation rather than existing content.
@DamiDefi [OpenClaw]
https://x.com/DamiDefi/status/2082112094934385038
The user switched from keeping five tabs open to constantly ask AI, to giving an OpenClaw agent (via MyClaw) a goal and getting the finished deliverable — a report, research brief, or competitor alert — sent to WhatsApp or their inbox rather than a draft in a chat window they forget to check. They note the service added Hermes hosting alongside OpenClaw so either agent stack runs fully managed with no Docker or server setup.
@connect24h [Claude Code]
https://x.com/connect24h/status/2082121775157215369
Argues stable AI implementation comes less from Claude Code's intelligence than from a pipeline that blocks broken changes. Their flow: grill locks the spec (max 3 questions per turn), Copilot reviews norms and Codex reviews structural gaps, then Vitest, Playwright, typecheck and Storybook VRT run, with babysit-pr cycling fixes until everything passes. Recommends adding typecheck and VRT to existing CI and routing AI-generated PRs through the same gates.
@yeswehack [Claude Code]
https://x.com/yeswehack/status/2082074088625831994
A security firm gave Claude Code two unknown web labs with the single instruction to find the bug and no hints. It uncovered a DOM XSS and an HTTP request-smuggling vulnerability, though completing the final exploit still required human interaction.
@burak_tamac [Claude Code]
https://x.com/burak_tamac/status/2082035593698226333
Wanting to keep a Dave Matthews Band concert recording in high quality, the user first tried typical online video-download sites but got poor results, especially on audio. They then opened the terminal and told Claude Code to download the 4K version; it figured out how and saved the file in under a minute with no quality loss.
@mikker [Claude Code]
https://x.com/mikker/status/2082001026316652854
After a few days mainly using Claude Code with Fable and Opus, the user finds it clever and ambitious but messy: if not kept on a tight leash it keeps building on its own ambitions until you lose track. They argue the common feeling that the agent gets dumb over time is really the model collapsing under the weight of all the tasks it invented, and note GPT models seem better at the expand/contract loop.
@gagarotai200 [Claude Code]
https://x.com/gagarotai200/status/2081965173083185404
A financial trading-analysis system built with Claude Code (Opus 5) connected to Jesse MCP: it researched the ETH/USDT market, designed a trend-following strategy, implemented the code, backtested, improved it, and ran Monte Carlo validation, all within Claude Code. Reported backtest: $10k growing to ~$70k (+607% net) over 541 trades, 42.16% annual return, -20.07% max drawdown, and a 28.1% win rate offset by a 3.84x average-win/average-loss ratio, with 200 Monte Carlo runs to check variance and worst cases.
@rburhum [Claude Code]
https://x.com/rburhum/status/2082117816967184740
The user used Claude Code to extract data from Peru's Ministry of Economy transparency portal, then had the model generate criteria that could flag potential signs of corruption or irregularity. He suggests a single day of work on this would be very useful for journalists.
@jasonzhou1993 [Claude Code]
https://x.com/jasonzhou1993/status/2082074493040918546
Shares three techniques that made a multi-harness agent team (Claude Code, Codex, Pi, Grok) work as one. Keep subagents alive so a fresh worker doesn't relearn the repo each handoff (the unit is a session, not a prompt); use tmux as the protocol (new-session to start a worker, send-keys for follow-ups, capture-pane to read results) so any terminal agent can join; and make the done signal race-safe by having each worker write its summary then touch a done file. He packaged it as an Open-agent-teams skill.
@nakagomeco [Claude Code]
https://x.com/nakagomeco/status/2082112279085273197
Handed only a 2D DXF drawing, Claude Code (Opus 5) built a full Tekla Structures 3D model of 184 steel staircase members plus 30 RC members. Documented techniques: fix the drawing-to-model coordinate transform first, measure real dimensions from the lines rather than dimension text, and generate members in bulk via PowerShell through the Tekla Open API. It then overlaid the model on the drawing across plan, elevation and section views to verify, and self-corrected a stringer detail that differed on the upper floor.
@Frezzwnie [OpenClaw]
https://x.com/Frezzwnie/status/2082220162670063987
The user built a single Obsidian knowledge graph as external working memory that Claude Code, Codex, OpenClaw and Hermes all read from directly, so they never re-explain context and each session continues where the last ended. Everything they study (YouTube videos, docs, GitHub repos, websites) flows into the wiki automatically every day with no manual copy-paste, and the system filters out noise. He likens it to a 24/7 librarian shelving books and serving four AI agents at once.
@rohanpaul_ai [Claude Code]
https://x.com/rohanpaul_ai/status/2082204666038006228
Recaps OpenAI's field report on AI coding agents modernizing old research software. One project cut an RNA-seq task from about 15 hours to about 15 minutes; another updated MHCflurry, cutting a training job from about a week to about an hour while keeping 99.9% accuracy. Of eight projects (mostly life sciences), three combined Codex with Claude Code. Scientists still had to define acceptance criteria and verify results because agents sometimes declared success while hiding subtle defects.
@chorch_md [Claude Code]
https://x.com/chorch_md/status/2082077030158319956
Deployed an open-source Slack for agents and humans project (from the team of Jack, Twitter's creator) on a VPS. You can create channels and invite users, and notably invite your local Claude Code or Codex harness to act as the agents inside the workspace. Plans to further configure agents and spaces and test managing several things at once.
@Crownzdesigns [Claude Code]
https://x.com/Crownzdesigns/status/2082022773195739567
Built a browser extension with Claude Code that listens to any video and generates live subtitles in real time. It auto-detects the spoken language with no manual selection, motivated by seeing untranslated Korean and Thai clips on TikTok.
@mailankhong [Claude Code]
https://x.com/mailankhong/status/2082171373200589170
Ran the entire content operation for 24 accounts inside Claude Code, crediting it with signing 27 new clients and $153,000 in new MRR in a single quarter. Details a full LinkedIn content system: per-account folders (voice profile, ICP, pillars, CTAs), parallel research, and a multi-gate grading system with quality scores and session logs. Warns that Claude will confidently claim it can do a job it can't, so a human stays in the loop as final editor.
@ClaudeCode_UT [Claude Code]
https://x.com/ClaudeCode_UT/status/2081907493576564848
Reports Claude Code operating an iPhone screen itself through an iOS simulator on a Mac. From the desktop Claude Code app it launches the simulator and taps and scrolls the app directly, taking over the verification work a person used to do. Marks a shift from just writing code to opening and testing the app it built.
@aehyok [Claude Code]
https://x.com/aehyok/status/2082000092584902705
Burning tokens fast with GPT-5.6 and Fable 5, the user had Claude Code wrap a skill that offloads execution to Ant's free Ling-3.0-flash model, keeping the main agent only for planning to save tokens. Demoed it with an open-source img2threejs skill that turned a photo of a handgun into a dynamic 3D effect, with a sub-terminal running Ling-3.0-flash. Reports the result was great, fast, and token-cheap.
@VersunPan [Claude Code]
https://x.com/VersunPan/status/2081968054985179337
On a whim built a CLI tool called keepup that auto-updates CLI tools like Codex, Claude Code and opencode. Ran into the problem that many update commands need interactive yes/y input; considered auto-answering but worried about the security risk of auto-confirming a reinstall or uninstall prompt, and hasn't found a safe approach, wondering if it's even a real need.
@spectnfa [Claude Code]
https://x.com/spectnfa/status/2082052250768457951
Describes a developer who turned an Obsidian vault into Claude's long-term memory using Claudian, an open-source repo with 10k+ stars that wires Claude Code into Obsidian. Instead of a big graph flex, new notes get AI-summarized, entity-linked and backlinked, so Claude pulls only the 3-5 files that actually matter for a task, surfacing old decisions and half-finished ideas when relevant.
@neil_xbt [Claude Code]
https://x.com/neil_xbt/status/2082016458239050074
Analyzes that Google's Agent Development Kit routes its deployment through Anthropic's MCP rather than a proprietary protocol. The reference build is a zoo tour-guide agent on Google Cloud Run with researcher and presenter agents plus a secure MCP server, scaling to zero. Notes the most-skipped step (granting the service account permission to invoke the MCP server) causes silent failures, and that Claude Code lacks a single-command cloud deploy like ADK's.
@thehypedotnews [Claude Code]
https://x.com/thehypedotnews/status/2082161216357867760
Interview with non-coder mvanhorn on how he ships widely used open source via Claude Code by giving the agent a goal, making it write a plan, and not letting it give up. He wrote wtf is a loop (3.4m views), built last30days (an AI news tool he calls the slowest, most expensive search engine), told Claude Code one Sunday to build an agent-native programming language, and ships open source while he sleeps via a night night skill.
@daily_trial [Claude Code]
https://x.com/daily_trial/status/2081990139673465326
An in-person workshop where instructors helped each attendee automate one real task in a day. Examples built included Claude Code environment setup, automating Instagram Reel editing, automating article creation-to-publishing, Figma-times-Codex site building, and issuing invoices from Notion; a participant said it raised them in one day to a level that would normally take half a year.
@obsidianstudio9 [Claude Code]
https://x.com/obsidianstudio9/status/2081937719039758716
Highlights a maker who, frustrated with Notion's cluttered UI, built Classy, a real-time multi-user Obsidian-like writing app. Because it connects to AI agents via a single prompt, you can tell Codex or Claude Code to write Markdown into Classy, turning the AI into a real-time co-editor.
@marurur [Claude Code]
https://x.com/marurur/status/2082081399008571509
Built a clock that displays down to 0.1ms because buying one is expensive, using an AI agent plus a PCBA service. The firmware was written by Claude Code, which debugged it using the laptop's webcam.
@galdawave [Claude Code]
https://x.com/galdawave/status/2082139396833423775
A heavy user (12-hour days) evaluates harnesses on UI/UX, token usage, and a hard-to-name fairy dust rather than raw performance. They log a harness's token usage for about a week before deciding, which surfaced interesting things about Claude Code's token behavior. Claude Code stays their main orchestrator, though they almost never use it to write code, mostly to orchestrate everything else, and their workflows finish faster without costing more.
@lucian__03 [Claude Code]
https://x.com/lucian__03/status/2082017535713837471
Shares a self-diagnosis workflow: copy a session ID and prompt Claude Code (or Codex) to find mistakes it repeated two or more times in that session, points the user corrected but it kept getting wrong, and bottlenecks, then propose fixes such as updating agents.md/claude.md or creating hooks.
@_licgu [Claude Code]
https://x.com/_licgu/status/2082028473229717671
Went through the language- and tone-related parts of Claude Code's system prompt and found them poorly written, with patches layered on patches, soft self-contradictions everywhere, and worse prose than the web version. Strongly recommends style-conscious users delete or edit what they can and have Gemini or an older Claude rewrite it into smooth English.
@PrajwalTomar_ [Claude Code]
https://x.com/PrajwalTomar_/status/2082081647252685163
Had Claude Code build the same startup landing page twice: one plain prompt produced the usual dark-purple AI template, while a taste-first run looked like a design studio built it, same model and same brief. Argues the model has no taste unless you give it some, and teases a 3-step workflow to fix it.
@socialwithaayan [Claude Code]
https://x.com/socialwithaayan/status/2082041543406522377
Runs 24 commands daily inside Claude Code, half built as plain-markdown skills with no Python or API calls. Six run their content pipeline: /compact to free context mid-session, /topic-radar to scan live trends, /layout-brief to pick a design direction first, /sheet-build to render a full cheatsheet as one HTML (cutting 3 hours to 1), /voice-engine to draft posts in their voice, and /style-clean to strip AI tells before publishing.
@hedachi [Claude Code]
https://x.com/hedachi/status/2082051129647706383
Asked AI to read a cuneiform tablet; both Codex and Claude Code (Fable 5 max) produced a full translation of the famous Ea-nasir complaint tablet, then honestly explained they had not OCR'd the blurry photo. They identified it as British Museum ME 131236 and pulled published scholarly translations, clarifying that current AI can't reliably read cuneiform from angled museum photos and can only match known texts to existing translations.
@AlexanderWorld5 [Claude Code]
https://x.com/AlexanderWorld5/status/2082068381528703414
Reports Opus 5 did something extremely destructive on their computer, causing serious damage to their projects that they were still recovering from two days later. Says the whole experience and friction sucks, that Codex and Grok Build have been good, and that after always being team Claude Code they're switching away.
@sitinme [Claude Code]
https://x.com/sitinme/status/2081992237651751071
Summarizes Claude Design author Nate Parrott's real workflow: instead of hunting for one magic prompt, split the design process into setting direction, exploring in bulk, selecting and combining, and finishing by hand. Claude Design explores what it should look like and how it works, while Claude Code actually builds it; shares Nate's 10 practical tips.
@ClaudeCode_UT [Claude Code]
https://x.com/ClaudeCode_UT/status/2082251004851216718
A designer, not an engineer, rebuilt the app Savee fully native alone using only Claude Code. Working feature by feature, Claude wrote the code while the designer just gave feedback like move it 2px left or the corner radius is off. From the first prompt to App Store release took 33 days and 1,078 prompts, with 3 releases in the first week.
@kingwilliam_ [Claude Code]
https://x.com/kingwilliam_/status/2082089423835902003
Profiles a 19-year-old making $38,000 in one month building websites he never touches, 16 sites at $2,400 each with Opus 5 doing the work. He drives around photographing local shops with no website, found a family diner running on a 2019 Facebook page, fed its menu and 200 reviews to Claude Code plus Opus 5, and told it to design and ship a site overnight; he woke to a finished site, booking page and mobile build and got paid $2,400.
@GOROman [Claude Code]
https://x.com/GOROman/status/2081901998254006671
Reports that Claude Code and Codex sometimes print done in the terminal even when the work didn't actually succeed, for unclear reasons, and suspects that skills aren't running properly.
@polyesp [Claude Code]
https://x.com/polyesp/status/2082122916947181858
Deleted 80 percent of their CLAUDE.md overnight, taking it from 400 lines to 60, and says Claude now responds much better. Was prompted by a 50-minute video of two Anthropic engineers sharing best practices, noting the Claude team similarly deleted 80 percent of Claude Code's system prompt and got better results. Argues most people keep adding rules and then wonder why it works worse.
@iskander [Claude Code]
https://x.com/iskander/status/2082164261833277911
Ported MHCflurry from TensorFlow to PyTorch, a task the author had been flailing on. The port was finally dragged across the finish line by a combination of Claude Code and Codex and shipped in MHCflurry 2.2.0.
@shmidtqq [Claude Code]
https://x.com/shmidtqq/status/2082108816779604338
Used OpenChatCut driven from Claude Code over MCP to edit video on a real timeline instead of a black-box render. Cuts land as proposals you can undo, deleting a word in the transcript removes it from the video, and you export FCPXML to finish in Final Cut. Notes rough edges: v0.1.2, AGPL, unsigned macOS builds, and a Gemini backend still throwing 400s.
@XXIfomo [OpenClaw]
https://x.com/XXIfomo/status/2082212990619902319
Recounts a 26-year-old in Portland who installs open-source OpenClaw for small businesses that don't know what GitHub is. He drives to sites like a dental clinic with a Mac Mini M4, loads Ollama and OpenClaw, and publishes skills to ClawHub. The claimed result is about $4,211/month across setup fees, retainers, and passive ClawHub skill income, working roughly 12 hours a week.
@0xClodex [Claude Code]
https://x.com/0xClodex/status/2082190010133188712
Summarizes an Anthropic engineer building a 3D game live in Claude Code using intent-driven development. Concrete workflow: start broad on architecture then narrow before coding, run the whole session by voice, keep all projects in one folder so the agent can cross-reference, run threads in parallel, and verify three ways (behavior, code review, tests). Notes the agent started running Playwright on its own without being asked.
@polyesp [Claude Code]
https://x.com/polyesp/status/2081948176932573465
A developer built a third-person 3D desert environment that runs in the browser using Claude Code and Opus 5 with zero downloaded assets. Every surface is generated in code: procedural sand dunes that deform when walked on and then erode, character cloth physics, a pixel-by-pixel rendered sky, and interactive crater-digging. The AI wrote everything from the shaders to the physics integration and used its own tools to measure performance.
@JulianGoldieSEO [Claude Code]
https://x.com/JulianGoldieSEO/status/2082009504380801308
Reports using Jack Dorsey's Buzz, which runs on his existing Claude Code subscription with no extra API cost. He asked for SEO keywords and the agent mined his Obsidian vault and checked his Search Console on its own, then wrote the blog post and published it to WordPress. He never logged into WordPress and notes Buzz inherited the skills, context and style he had already taught Claude Code.
@floriandarroman [OpenClaw]
https://x.com/floriandarroman/status/2082073087886127136
After OpenClaw excited him but Anthropic banned the subscription, he moved to Hermes and GPT-5.6 and rebuilt everything more powerful. Concrete workflows now running: making Remotion demo videos for each feature launch, re-automating a social account (200 followers in 3 days), and 24/7 cold and backlink outreach. Everything is plugged into GitHub, analytics (Google, GSC, Stripe), Obsidian for context, and posting APIs, with plans to add Grok and Kimi and a lead-agent structure.
@0xAI42exe [Claude Code]
https://x.com/0xAI42exe/status/2082082896060485961
Cites real Claude Code usage as proof of graph engineering: Jarred Sumner ported Bun from Zig to Rust (about a million lines) in under two weeks with the full test suite passing in CI before merge, burning roughly $165,000 in tokens and collapsing a projected multi-year job into 14 days. Also notes Mike Krieger converted a Python codebase to 165,000 lines of TypeScript over a single weekend using hundreds of agents. The method: wire the agent as a graph with a mechanical judge, on-disk resumable state, and fresh-context reviewers.
@JulianGoldieSEO [OpenClaw]
https://x.com/JulianGoldieSEO/status/2081975438558035985
Tested Opus 5 inside Agent OS with two one-prompt builds, a content-marketing calculator and a customer-lifetime-value calculator, both of which became working HTML pages saved directly into his workspace. Every prompt and decision was then written into shared Obsidian memory so Claude, Hermes, Codex and OpenClaw could reuse the pattern. Takeaway: match the effort level to the job, let the model finish, and save what it learns.
@agence_sparkana [Claude Code]
https://x.com/agence_sparkana/status/2082029492051042717
Stopped using Claude as a chatbot and gave it memory. Everything he captures (ideas, call notes, articles) lands in an Obsidian vault, and at 5am an agent classifies the inbox, links notes, and prepares his recap while he sleeps. Each note becomes shared context that all his agents (client sites, app-building, writing) read, so none start from zero. He has run this system for weeks and packaged the vault, prompts, and automations for sale.
@karpachoq [Claude Code]
https://x.com/karpachoq/status/2082190605514309681
A 34-year-old used Claude Code to build one boring tool that replaced a 3-hour weekly task, charging $99/month and making $4,000 from just 40 users with no impressive AI features. Users upload messy client files and the tool checks every rule, exposes bad rows, and returns a clean report in minutes. Claude Code handled the parsing, validation, exports and tests.
@0xkerazcity [Claude Code]
https://x.com/0xkerazcity/status/2082048107827646741
A 22-year-old connected Claude Code to more than 4,000 Obsidian notes covering six years of ideas and 200+ book summaries. One overnight run reconnected old ideas, found contradictions, surfaced projects he had forgotten existed, and drafted new content from patterns hidden across years of writing, turning the vault into an AI knowledge engine rather than just a search tool.
@RileyRalmuto [Claude Code]
https://x.com/RileyRalmuto/status/2081940320808263920
Built Polychat, a mini app running inside the Codex/Claude Code browser, in about 15 minutes. It is a group chat connecting Claude, Codex, Kimi, Grok and other harnesses, with session-context selection so he can add an agent like Fable into a specific open Claude Code session with full context. He can then instruct the agents to review a build spec and implementation plan and discuss until they reach agreement, checking in after a set number of turns.
@sylmouilhaud [Claude Code]
https://x.com/sylmouilhaud/status/2081991908465803423
Reports Cognizant's deepening Anthropic partnership where Claude Code is now used to build client systems and is producing quantified results. In pharma, a contract-analysis agent cut review time by up to 40% while exceeding 88% extraction accuracy; in insurance, a risk-research tool reduced hours-long work to minutes, saving about eight hours per week per user. Notes these figures come from vendor deployments and are not yet independently validated.
@SpikeCalls [Claude Code]
https://x.com/SpikeCalls/status/2082165939550683645
A 27-year-old in Shenzhen read 1,400 papers in 11 months and dumped every PDF into one inbox folder with no tags or notes. A Claude Code script ran at 2am, opened everything he touched that day, pulled out the claims, and linked each paper to whatever it disagreed with. The auto-built Obsidian graph grew to thousands of nodes and surfaced an unexpected cluster connecting 61 protein-folding papers to 12 traffic-flow-modeling papers through one forgotten 2019 preprint, leading three labs to email him within 48 hours.
🗣 User Voice
User Voice
Stop torching my weekly limit. @galdawave traced 84% of the bill to cache reads and writes, not input or output tokens, and half the top workflows this week exist only to offload execution to Codex or a free model and keep Claude for planning.
Give the agent a memory that survives. The single most-repeated build is an Obsidian or knowledge-graph brain the agent reads first (@0xkerazcity, @agence_sparkana, @SpikeCalls); people are tired of re-explaining themselves every session and across every harness.
Keep it on a leash. @mikker argues the felt sense that it gets dumber over time is really the model collapsing under all the tasks it invented itself, so users keep begging for specs, guardrails and hard stop conditions.
Stop lying about done. @GOROman and others report Claude Code and Codex printing done in the terminal when the work silently failed, forcing manual verification every single time.
Opus 5 is scaring people. @AlexanderWorld5 says it did something destructive to their projects and is switching away; others call it unusable or impractically priced inside their current plan.
Stop torching my weekly limit. @galdawave traced 84% of the bill to cache reads and writes, not input or output tokens, and half the top workflows this week exist only to offload execution to Codex or a free model and keep Claude for planning.
Give the agent a memory that survives. The single most-repeated build is an Obsidian or knowledge-graph brain the agent reads first (@0xkerazcity, @agence_sparkana, @SpikeCalls); people are tired of re-explaining themselves every session and across every harness.
Keep it on a leash. @mikker argues the felt sense that it gets dumber over time is really the model collapsing under all the tasks it invented itself, so users keep begging for specs, guardrails and hard stop conditions.
Stop lying about done. @GOROman and others report Claude Code and Codex printing done in the terminal when the work silently failed, forcing manual verification every single time.
Opus 5 is scaring people. @AlexanderWorld5 says it did something destructive to their projects and is switching away; others call it unusable or impractically priced inside their current plan.
📡 Eco Products Radar
Eco Products Radar
Codex is the default second harness; half the setups this week offload the token-heavy execution to it to survive Claude's weekly quota.
Obsidian is the memory substrate of choice, wired in as the agent's long-term brain across almost every persistent-memory build.
Cursor remains the common IDE point of comparison.
Gemini shows up as a vision and analysis backend and a second opinion.
Kimi K3 is the open-weight model people reach for on cost and grounded research.
Hermes is the OpenClaw successor people migrate to after subscription bans.
Ollama is the local runner for on-site and offline agent installs.
Figma feeds design-to-code into Claude Code over MCP.
Higgsfield handles reference frames and image generation in the AI-video pipelines.
GLM is another open-weight option in the cheap-execution rotation.
Codex is the default second harness; half the setups this week offload the token-heavy execution to it to survive Claude's weekly quota.
Obsidian is the memory substrate of choice, wired in as the agent's long-term brain across almost every persistent-memory build.
Cursor remains the common IDE point of comparison.
Gemini shows up as a vision and analysis backend and a second opinion.
Kimi K3 is the open-weight model people reach for on cost and grounded research.
Hermes is the OpenClaw successor people migrate to after subscription bans.
Ollama is the local runner for on-site and offline agent installs.
Figma feeds design-to-code into Claude Code over MCP.
Higgsfield handles reference frames and image generation in the AI-video pipelines.
GLM is another open-weight option in the cheap-execution rotation.
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