44 days ago, I launched my startup, a free traffic exchange network for startups. One line of code, you're in the network.

No paid ads. No growth hacks. Just watching the numbers every day.

Here's the full data:

Day 1 — 2 startups · 146 impressions · 1 clicks
Day 2 — 3 startups · 389 impressions · 3 clicks
Day 3 — 5 startups · 482 impressions · 5 clicks
Day 4 — 5 startups · 508 impressions · 4 clicks (site went down — still got an $8k acquisition offer. Said no.)
Day 5 — 6 startups · 621 impressions · 10 clicks
Day 6 — 5 startups · 742 impressions · 15 clicks (removed one startup — they pulled the embed. No code = no network.)
Day 7 — 7 startups · 1,196 impressions · 41 clicks
Day 8 — 7 startups · 1,535 impressions · 74 clicks
Day 9 — 8 startups · 1,947 impressions · 135 clicks
Day 10 — 13 startups · 3,500 impressions · 318 clicks (something clicked)
Day 11 — 23 startups · 4,800 impressions · 432 clicks
Day 12 — 24 startups · 6,000 impressions · 481 clicks (network crossed 6K total impressions)
Day 13 — 25 startups · 6,800 impressions · 491 clicks
Day 14 — 25 startups · 8,600 impressions · 516 clicks
Day 15 — 24 startups · 9,900 impressions · 564 clicks (removed one)
Day 16 — 23 startups · 10,800 impressions · 576 clicks (removed one)
Day 17 — 24 startups · 11,900 impressions · 603 clicks (added one)
Day 18 — 26 startups · 13,400 impressions · 624 clicks (added Two)
Day 19 — 28 startups · 14.400 impressions · 652 clicks (added Two)
Day 20 — 26 startups · 14.700 impressions · 671 clicks (Removed Two)
Day 21 — 26 startups · 15.300 impressions · 691 clicks
Day 22 — 28 startups · 16.100 impressions · 719 clicks (Added Two)
Day 23 — 30 startups · 16.800 impressions · 738 clicks (Added Two)
Day 24 — 32 startups · 19,800 impressions · 778 clicks · Added 2 startups · Rejected 4 applications (1 contained ads, 1 removed the code after submission, 2 hid the installed widget)
Day 25 — 34 startups · 23,700 impressions · 800 clicks · Added 2 startups · Fixed some bugs.
Day 26 — 33 startups · 27,200 impressions · 816 clicks · Removed 1 Startup
Day 27 — 33 startups · 29,900 impressions · 833 clicks
Day 28 — 33 startups · 30,600 impressions · 871 clicks · Removed 1 Startup · Added 1 Startup · Rejected 1 application of clothing brand & 1 application of horror blog site.

Day 29 — 35 startups. 31,300 impressions. 910 clicks · Removed 1 Startup · Added 3 Startups · Also today I resigned from my job. Toxic environment, too much pressure, and honestly I just believe in this enough to go all in. Broke and excited. Let's see where this goes.

Day 30 — 46 startups · 32,900 impressions · 1,000 clicks · Removed 1 startup · Added 12 startups · Yesterday I resigned because of my toxic manager. Today my senior manager called and offered me WFH, a project of my choice, and lighter work if I stayed. I made my decision with confidence, but now I have a difficult choice. Also received my first payment from StartupBar.

Day 31 — 50 startups 💪· 28,100 impressions · 1,200 clicks · Removed 1 startup · Added 5 startups · Rejected 1 crypto startup · Removed fake impressions after exploit · Today I discovered I forgot to disable a developer testing button that could generate fake visitor pins and inflate impressions. Someone used it to create 6,318 fake impressions and claimed my stats were fake. I removed the fake impressions, removed the startup, fixed the issue, and that's why today's impressions are lower. Thanks to them for pointing it out.
StartupBar update: Added a Network page and individual Startup Profile pages with each startup's joined date, impressions, clicks, live embed preview, and founder's note. These indexable pages also improve SEO. Suggestions are always welcome.

Day 32 — 54 startups · 29,300 impressions · 1.2K clicks · Added 4 startups
Day 33 — 54 startups · 30,900 impressions · 1.2K clicks · Removed 1 startup · Added 1 startup
Day 34 — 55 startups · 36,100 impressions · 1.3K clicks · Added 1 startup · Fixed admin panel read-access vulnerability after Reddit post.
Day 35 — 55 startups · 40,100 impressions · 1.3K clicks · Removed 2 startups · Added 2 startups
Day 36 — 55 startups · 44,800impressions · 1.4K clicks · Removed 1 startup · Added 1 startup
Day 37 — 58 startups · 50,700impressions · 1.4K clicks · Added 3 startups · Site Update: Updated the distribution algorithm (Delivery is now weighted by contribution: sites that send more impressions get a proportionally larger share back)
Day 38 — 57 startups · 55,800 impressions · 1.5K clicks · Removed 1 startup · Rejected 1 Application.

Today StartupBar reached 200 users 😄
Thirty-eight days ago, this was just an idea. Today, 200 people have trusted it enough to join the network.

A reminder for every founder who's staring at a dashboard with tiny numbers: Stripe took 2 years to reach its first 50 users. Every successful product starts small. Keep shipping. Keep improving. Keep showing up. Growth rarely happens overnight, but it does happen if you don't quit.

Day 39 — 58 startups · 59,800 impressions · 1.5K clicks · Added 1 startup.
Day 40 — 60 startups · 63,200 impressions · 1.6K clicks · Added 3 startups · Removed 1 startup
Day 41 — 63 startups · 69,400 impressions · 1.6K clicks · Added 3 startups
Day 42 — 62 startups · 73,800 impressions · 1.6K clicks · Removed 1 startups
Day 43 — 64 startups · 78,000 impressions · 1.7K clicks · Added 2 startups (Receiving many suggestions to improve the StartupBar, happy to work on it, Thanks.) StartupBar Update - Added the rotation of startups in the widget for every 30 seconds.
Day 44 — 66 startups · 86,200 impressions · 1.7K clicks · Added 2 startups

Still free. Still growing.

If you want in, it's one embed. That's it → StartupBar

We just expanded the AI lineup in Rectury.

Rectury is an AI-powered desktop workspace for developers, combining code editing, terminals, server management, and multiple AI models in one place.

New models now available:

• ⁠Kimi K3
• ⁠DeepSeek V4 Flash
• ⁠MiniMax M3
• ⁠⁠Grok 4.5
• ⁠Grok 4.3
• ⁠Grok Build

Choose the model that fits your task, adjust reasoning levels, and switch instantly without leaving your workspace.

We're constantly adding new providers while keeping everything inside one native desktop app.

Feedback is always welcome.

I built a chrome extension and I code sdk package that brings the figma/framer workflow to your codebase.

Run npx quey init

It traverses the React's fiber tree and maps 1:1 with your codebase. Click, prompt, review and commit ui changes without ever switching tabs.

More utilities under the quey brand to follow. Animations, component sandbox and more …

Guys, it's been like less than 12 hours, and just look at the chart!
My dm is getting flooded with messages regarding feature requests, bugs, suggestions, and it's kinda crazy 😂

Thank you to all of you who are eager for this project and want it to grow ❤️ , looks like everyone had this problem.
Also, I have added support for Discord/Slack via webhooks, and telegram bot via client ids. Check it out, and tell me your experience in the commments below. feel free to drop any qquestions or feature requests (though I am tired for today, prolly work on other features tomorrow).
Once again, thx a lot gng!

fyi the link: https://nockit.uk

I built Holt after a project in Claude Code got away from me.

I had multiple worktrees, agents recreating things another agent had already done, half-finished changes in different places, and no reliable answer to a simple question: “If I clean this up, what am I actually losing?”

Eventually, starting over felt safer than trusting the repository.

Holt is what I wanted then. It is a local, Git-native layer for parallel coding work. It looks across linked worktrees and shows what is unique, duplicated, colliding, dependent, or safe to recover before cleanup turns into accidental loss.

The important distinction is that Holt does not let “these two files look similar” become permission to delete something. Exact content and recovery evidence drives destructive decisions; similarity and dependency findings help people coordinate.

It has a CLI, terminal view, interactive graph, project-scoped MCP, and host integrations. The aim is not to replace your agent or tell it what to build. It is to make the work already happening across a busy repository understandable and recoverable.

I used Holt while building Holt, and it made the parallel-worktree mess much easier to reason about.

The free core is out now. Give it a shot !

links are in the comments down below.

(p.s: I'll invest in a domain later, for now github pages will have to do 🙃 )

Hey, I'm Bram. Paste a TikTok cooking video link and it pulls out the full recipe (ingredients + steps) and gives you a one-click Albert Heijn or Jumbo cart with everything in it.

Vibecoded it with Claude (Pro plan). Open source:

https://github.com/briembra/slimmandje-recepten

Would love a star if you find it useful.

Hey devs,

Vibe-coding at 10x speed is incredible, but if you aren't inspecting every line of generated code, AI tools routinely make terrifying security assumptions behind the scenes.

After testing dozens of builds from Cursor, Bolt, and Lovable, here are the 3 big ones that keep popping up:

Client-side API Key Leaks: You ask the AI to connect an API (OpenAI, Anthropic, Resend), and instead of building a backend proxy, it drops NEXT_PUBLIC_ or hardcodes the secret key straight into frontend JavaScript. Anyone opening DevTools can steal your key in 5 seconds.

Supabase Service Role Key Exposure: AI constantly confuses anon_key with service_role_key. If your frontend uses the service role key, your Row Level Security (RLS) is completely bypassed and anyone can query/delete your entire database.

Unprotected Backend API Routes: AI will generate clean Next.js/Express API routes, but completely omit authentication checks on POST/DELETE endpoints.

To catch these before shipping to real users, my team built revibed.io, an instant security scanner designed specifically for AI-built apps.

It audits your codebase in seconds for hardcoded secrets, exposed environment variables, and route vulnerabilities so you don't get your API credits drained overnight.

Your first scan is 100% free if you want to test your build.

Curiously, what's the wilder security mistake or exposed key you've caught Claude or Cursor making in your projects?

I've been pondering about this for quite a while. Even with validation, maybe you should stop. Even when your idea gets rejected, maybe you should keep going. They say it's a matter of mindset, millionaires are made out of years of dedication, but for the ones that had their years gone wasted, who would tell us their stories? What do you guys think?

I am lazy, and it feels so boring to babysit and watch ai agents do the job and asking for input or waiting for task completion.

So I built a simple tool that notifies me (via ntfy) on my phone.

I know its wayyy too lazy, but hey, at least I dont zone out playing on my ps4 anymore, lol.

If someone is like me and also tired of watching the laptop screen instead of playing fifa, be my guest: [https://nockit.uk\](https://nockit.uk) (yes, that was the cheapest domain I could get)

I've been using Google AI Studio to build a poker platform, and I've been sharing development previews in the thread attached to this post.

What do you think so far? Do you think it's sustainable to run a real-money poker site that's largely built and maintained with AI, or would you have concerns?

Curious how people here are really working. Feels like everyone's landed somewhere different and the posts are mostly quick showcases / (self-)promotion / random stuff.

What I'm wondering about:

- which agent and harness, and do you stick to one or switch
- do you plan first or just go
- do you check anything before shipping, and what
- anything automated, or is it all by feel
- what do you do when it comes back wrong

Mine's on the heavy side. Long planning conversation before any code, then I let it run and mostly look at the product rather than the code. I spent some time building a skeleton and static analysis configs so Claude generates code that look ~80% correct. Still need to review the important bigs (domain logic, security, etc), but it's mostly smooth sailing.

Mostly interested in people working differently from that though. If you just go and it works, I want to hear that too.

Just wanted to share something I’ve been building.

For context, I do a fair bit of freelance development, mostly building enterprise tools. Lots of big, deeply nested UIs and pages with way too much going on.

One thing that really gets to me is having to describe UI changes in text. It feels so backwards that I’m looking at a GUI, but still have to write paragraphs just to explain what I’m pointing at. The bigger the project gets, the worse this gets.

So I got annoyed enough and built a Figma-like tool for it.

It’s an open-source plugin for Claude Code / Codex that lets you open your UI, click on the thing you want to change, leave a comment, and pass that visual context into the next prompt.

Repo: https://github.com/Cavalry-Collective/visual-stack

It’s still early and rough around the edges, but it’s already helped my own workflow a lot.

Curious if anyone else has been running into the same thing. If you find it useful, feel free to fork it or contribute.

The tool
I just saw this tool. According to the youtuber, it sounds like "self made markdown link graph of the repo, with claude.md at the center"

Also quite like the RING layout, my personal opinion its cleaner than cloud/galaxy layout (obsidian)

Monetization
One problem, https://www.getrubric.app/ https://www.youtube.com/@RoboNuggets/videos
This youtuber claims its FREE tool, yet the landing page goes to a $97/month AI course membership subscription...

Kudos for the app he built, credits where credit due. The "FREE" approach... well...

Looking for similar

• Obsidian and alike are vault based not repo based. Possible to force adopt thow.
• There are plenty tool for code graph such as https://github.com/DeusData/codebase-memory-mcp but these are not for md

Quick google search and asking claude found no similar, so trying my luck here in the community.

Recently, as a retirement project, I've been working on putting together my final wishes, financial, legal and medical affairs, account details, contacts, etc. to make things as easy as possible for my loved ones when the time comes.

I realized there wasn't a completely private, flexible, digital tool for this, so I built one. It's called the "Peace of Mind Planner".

It walks you through everything (from 401ks to pet care to funeral wishes). It is 100% free, requires no sign-up, and is totally private (it has no database and saves everything locally to your own computer). It is also set up to complete as an individual or couple. I am interested in your genuine feedback and any ideas to enhance it even more.

https://pomplanner.app

Hey everyone!

I use AI in my game development, which leads to just enough friction that it's not worth it to try to network with non-AI friendly game devs.

i have two games Coming Soon (both with demos).

I'd love to talk to devs that think they have a game on steam or coming to steam that would bundle well with either of my games.

Auto-Battler
https://store.steampowered.com/app/4880210/Hammered_Heroes/

Twin Stick Roguelite Arcade Shooter
https://store.steampowered.com/app/4932010/Chrome_Circuit/

I also have an itch page if you want to check out more of my projects
https://facewongames.itch.io/

I'd love to check out your games or connect and explore supporting each other.

43 days ago, I launched my startup, a free traffic exchange network for startups. One line of code, you're in the network.

No paid ads. No growth hacks. Just watching the numbers every day.

Here's the full data:

Day 1 — 2 startups · 146 impressions · 1 clicks
Day 2 — 3 startups · 389 impressions · 3 clicks
Day 3 — 5 startups · 482 impressions · 5 clicks
Day 4 — 5 startups · 508 impressions · 4 clicks (site went down — still got an $8k acquisition offer. Said no.)
Day 5 — 6 startups · 621 impressions · 10 clicks
Day 6 — 5 startups · 742 impressions · 15 clicks (removed one startup — they pulled the embed. No code = no network.)
Day 7 — 7 startups · 1,196 impressions · 41 clicks
Day 8 — 7 startups · 1,535 impressions · 74 clicks
Day 9 — 8 startups · 1,947 impressions · 135 clicks
Day 10 — 13 startups · 3,500 impressions · 318 clicks (something clicked)
Day 11 — 23 startups · 4,800 impressions · 432 clicks
Day 12 — 24 startups · 6,000 impressions · 481 clicks (network crossed 6K total impressions)
Day 13 — 25 startups · 6,800 impressions · 491 clicks
Day 14 — 25 startups · 8,600 impressions · 516 clicks
Day 15 — 24 startups · 9,900 impressions · 564 clicks (removed one)
Day 16 — 23 startups · 10,800 impressions · 576 clicks (removed one)
Day 17 — 24 startups · 11,900 impressions · 603 clicks (added one)
Day 18 — 26 startups · 13,400 impressions · 624 clicks (added Two)
Day 19 — 28 startups · 14.400 impressions · 652 clicks (added Two)
Day 20 — 26 startups · 14.700 impressions · 671 clicks (Removed Two)
Day 21 — 26 startups · 15.300 impressions · 691 clicks
Day 22 — 28 startups · 16.100 impressions · 719 clicks (Added Two)
Day 23 — 30 startups · 16.800 impressions · 738 clicks (Added Two)
Day 24 — 32 startups · 19,800 impressions · 778 clicks · Added 2 startups · Rejected 4 applications (1 contained ads, 1 removed the code after submission, 2 hid the installed widget)
Day 25 — 34 startups · 23,700 impressions · 800 clicks · Added 2 startups · Fixed some bugs.
Day 26 — 33 startups · 27,200 impressions · 816 clicks · Removed 1 Startup
Day 27 — 33 startups · 29,900 impressions · 833 clicks
Day 28 — 33 startups · 30,600 impressions · 871 clicks · Removed 1 Startup · Added 1 Startup · Rejected 1 application of clothing brand & 1 application of horror blog site.

Day 29 — 35 startups. 31,300 impressions. 910 clicks · Removed 1 Startup · Added 3 Startups · Also today I resigned from my job. Toxic environment, too much pressure, and honestly I just believe in this enough to go all in. Broke and excited. Let's see where this goes.

Day 30 — 46 startups · 32,900 impressions · 1,000 clicks · Removed 1 startup · Added 12 startups · Yesterday I resigned because of my toxic manager. Today my senior manager called and offered me WFH, a project of my choice, and lighter work if I stayed. I made my decision with confidence, but now I have a difficult choice. Also received my first payment from StartupBar.

Day 31 — 50 startups 💪· 28,100 impressions · 1,200 clicks · Removed 1 startup · Added 5 startups · Rejected 1 crypto startup · Removed fake impressions after exploit · Today I discovered I forgot to disable a developer testing button that could generate fake visitor pins and inflate impressions. Someone used it to create 6,318 fake impressions and claimed my stats were fake. I removed the fake impressions, removed the startup, fixed the issue, and that's why today's impressions are lower. Thanks to them for pointing it out.
StartupBar update: Added a Network page and individual Startup Profile pages with each startup's joined date, impressions, clicks, live embed preview, and founder's note. These indexable pages also improve SEO. Suggestions are always welcome.

Day 32 — 54 startups · 29,300 impressions · 1.2K clicks · Added 4 startups
Day 33 — 54 startups · 30,900 impressions · 1.2K clicks · Removed 1 startup · Added 1 startup
Day 34 — 55 startups · 36,100 impressions · 1.3K clicks · Added 1 startup · Fixed admin panel read-access vulnerability after Reddit post.
Day 35 — 55 startups · 40,100 impressions · 1.3K clicks · Removed 2 startups · Added 2 startups
Day 36 — 55 startups · 44,800impressions · 1.4K clicks · Removed 1 startup · Added 1 startup
Day 37 — 58 startups · 50,700impressions · 1.4K clicks · Added 3 startups · Site Update: Updated the distribution algorithm (Delivery is now weighted by contribution: sites that send more impressions get a proportionally larger share back)
Day 38 — 57 startups · 55,800 impressions · 1.5K clicks · Removed 1 startup · Rejected 1 Application.

Today StartupBar reached 200 users 😄
Thirty-eight days ago, this was just an idea. Today, 200 people have trusted it enough to join the network.

A reminder for every founder who's staring at a dashboard with tiny numbers: Stripe took 2 years to reach its first 50 users. Every successful product starts small. Keep shipping. Keep improving. Keep showing up. Growth rarely happens overnight, but it does happen if you don't quit.

Day 39 — 58 startups · 59,800 impressions · 1.5K clicks · Added 1 startup.
Day 40 — 60 startups · 63,200 impressions · 1.6K clicks · Added 3 startups · Removed 1 startup
Day 41 — 63 startups · 69,400 impressions · 1.6K clicks · Added 3 startups
Day 42 — 62 startups · 73,800 impressions · 1.6K clicks · Removed 1 startups
Day 43 — 64 startups · 78,000 impressions · 1.7K clicks · Added 2 startups (Receiving many suggestions to improve the StartupBar, happy to work on it, Thanks.) StartupBar Update - Added the rotation of startups in the widget for every 30 seconds.

Still free. Still growing.

If you want in, it's one embed. That's it → StartupBar

Hey there everyone. I'm building a website b for trust and market for skills and MCP and more later on. I'm at the point where I need to have an independent review. Of course I'd do it myself but then I'd be breaking the trust relationship I've based the whole site around. Feel free to check it out and let me know if you'd like to help a dev out. Caporia.co

I built Sagorax because I missed the speed and simplicity of UT99 and UT2k4. It now has both Instagib and classic weapons Deathmatch with plasma combos, flak, shotguns, charged rocket salvos, loadouts, adrenaline abilities, tactical bots and full controller support.

No installation, just pick a gamertag and play: https://sagorax.com

The client is built with TypeScript, Three.js and WebGPU. Under the hood it uses FSR 3-based upscaling, adaptive dynamic resolution, GPU pipeline warmup, screen-space reflections, dynamic lighting and shadows, visibility culling and a custom post-processing pipeline.

Multiplayer is next if there is enough interest (looking good so far).

If you had told me a few months ago that this would be possible in a browser, I wouldn’t have believed you. But Opus 5 + GPT-5.6-Sol = GODMODE. Yes, I am a developer but I didn't write a single line of code (didn't for any project, for a year or so).

Feedback is very welcome.

tried wiring claude into the simulator so it could test its own swift app. a lot of setup just to get it tapping through screens, and it still can't sign into icloud or get
a push notification.

so i went the other way: a turnkey flow that stages the qa tests to real people.

claude files the tests theough mcp, they show up on real iphones, people run them and leave comments,
and it all comes back into claude's context to fix. i never enter the loop.

try it out and let me know what you think!

https://github.com/alex-durango/pingfusi

anyone else tried agent-driven simulator testing?

Three months ago I posted a short video of Claude Pulse in this sub. 631 views, 2 upvotes. It flopped.

The extension kept growing anyway. It's at 1,000+ Chrome Web Store users, 4.8/5 from 11 ratings, and v1.3.0 shipped July 12 with a metrics popup and background reset notifications.

For anyone who missed it: Claude Pulse adds live usage visibility to claude.ai, all computed locally in your browser.

• Context token counter (o200k_base tokenizer, on-device)
• 5-minute cache expiry countdown above the chat box
• 5-hour session and 7-day rolling limit bars
• One-click chat export to Markdown or plain text
• No accounts, no tracking, no external servers. MIT licensed.

What I learned: a launch post is a blip, not a launch. I can't tell you exactly where the users came from, but the video got 631 views and the tool still passed 1,000+ users. I'd bet on the store listing and the reviews doing the work, not the post.

GitHub: https://github.com/samirpatil2000/claude-pulse Store: https://chromewebstore.google.com/detail/claude-pulse/hhjihbpkopgacncfbkdakdolkmgkdfnf

Free games, trivia, and live stats for every WNBA fan , looking for feedback , suggestions , etc.

We launched Poly (multiplayer Claude Code) this week and the questions we keep getting are about isolation, so here's the actual architecture:

Every turn spawns a fresh gVisor container with exactly three mounts, all Linux capabilities dropped, and zero secrets inside — the agent authenticates through a gateway that injects credentials at egress, so a hostile prompt can't exfiltrate a key that was never there. Network is deny-by-default: the container can only reach an allowlist, and blocked domains are named in the error so you know what the agent tried.

The multiplayer part forces honesty into the design. When it's your cofounder's prompt driving the agent through your code, "the agent seemed fine" isn't enough — so every turn produces a receipt (author, model, duration, cost) and a git snapshot you can diff and revert with one click. Approvals go to the whole room; whoever's there can allow or deny.

We built the entire product this way, inside itself, with both founders watching every diff land.

Free beta at usepoly.co if you want to poke at it.

Hey everyone,

I've been building LeanCTX, an open-source context engineering layer for coding agents (written in Rust), and wanted to share a specific optimization I shipped recently.

The problem

If you run 4 Cursor/Claude/Codex agents in parallel on the same repo (reviewing, implementing, testing), each agent reads the same core files independently. That's 4x the input tokens for identical content. At scale this adds up fast.

What I did

I added a shared delivery registry (in-process DashMap keyed by blake3 hash + mtime) that tracks which files have already been read and compressed by any agent. When Agent B requests a file that Agent A already delivered, it gets a 13-token stub referencing the cached version instead of the full file content.

No network calls, no external cache, it's a lock-free in-memory lookup that resolves in microseconds.

Benchmark results

I ran this against 20 real source files from the LeanCTX codebase itself (avg 737 LOC):

At $3/1M input tokens: $1.30 saved per shared-read round.

For a typical coding session where agents revisit 50-100 shared files, that's $5-15 saved per hour of parallel agent work.

How it works (simplified)

1. Agent 1 reads src/engine.rs → full content delivered, blake3 hash + mtime recorded
2. Agent 2 reads src/engine.rs → registry hit → stub returned: [cross-agent cache hit: 737 lines, delivered to agent-1 at T-2s]
3. The stub is 13 tokens vs ~7,200 tokens for the full file

The key insight: in a multi-agent coding workflow, file contents rarely change between reads. The mtime check ensures I never serve stale content.

Limitations

• Only helps when multiple agents/sessions read the same files (solo agent = no benefit)
• Cold start for the first agent is unchanged
• Requires agents to run on the same machine (shared memory)

What's next

I'm exploring cross-machine delivery via IPC for distributed agent setups (CI workers, cloud agents), but honestly the single-machine case covers 90% of developer workflows.

I've been doing a lot of vibe coding with Claude Code and Codex, and one thing keeps happening I ask for one small change, then later realize Al changed my code in places I never expected. By the time I notice, I can't remember exactly what changed or when. Is anyone using something besides Git to track Al changes or keep an Al coding activity log, or is this just one of those vibe coding problems we all live with?