Enes

swe @walletconnect

building ai things
・

[Enes @enesozturkdev]

This is so nice to play - tried to re route my paragliding flight's preview that I did today 🪂

Finally Google Earth supports uploading flight records like KML, GeoJSON. I've used several tracking apps in the past but none has such view so you can have irl like previews with best earth model.

[Google Earth @googleearth]

Prepare for takeoff. ✈️ Flight simulator is now available globally on web to all users. https://t.co/hQP0No142P

We've recently added many our most powerful professional desktop features to web. Elevation profiles, new import types, but there's always been one other feature you've been asking us to add to the web version of Google Earth, just for fun...

Where will you fly? Share your best maneuvers, views, and flyovers with us!

[Enes @enesozturkdev]

City of love and blue, doing its show again

[Hava Forum @HavaForum]

İstanbul boğazında alg patlaması yaşanıyor. Denizin rengi turkuaza döndü.

[Enes @enesozturkdev]

@Baconbrix So inspiring to see everything you shipped all along. All the best man. Epic work.

[Enes @enesozturkdev]

@axeldelafosse @OpenAI @ycombinator Congrats Axel!

[Enes @enesozturkdev]

Same

[@levelsio @levelsio]

If Claude Code keeps being slow like this while I pay $200/mo (and they don't let me pay more)

They will essentially force me to leave to Codex and I don't want to

But it's soooooo slooooooooooooowwwww

[Enes @enesozturkdev]

Now exploring @Google's agentic commerce protocol: AP2 (part of UCP) and buying things using @WalletConnect Pay.

This time using Gemini CLI as my agent and asking to buy stuff. Flow works very similar to my previous MPP example — our sample e-com app stays as a Checkout Mandate (has an endpoint with the AP2 standard where the agent can explore products), and on the payment side our WC Pay MCP drives the WalletConnect signing flow.

Making WC Pay one of the default Payment Handlers under UCP would allow hundreds of wallets like @zerion @rainbowdotme @TrustWallet etc. to onboard into agentic payments directly. Going to explore further to make it possible.

[Enes @enesozturkdev]

My Claude Code just bought me products using my crypto wallet.

Exploring agentic crypto payments; @stripe's MPP x @walletconnect Pay. Here is demo that my agent uses Machine Payment Protocol and any crypto wallet WalletConnect implemented to buy things.

WalletConnect powers 700+ crypto wallets and millions of users - an incredible opportunity to extend that ecosystem into agentic payments. With our Agent SDK, agents can use WalletConnect as the connection layer and WalletConnect Pay as the payments layer.

Here is simply how it works: It searches through the products using the MPP endpoint > initializes payment with WalletConnect Pay API > asks me to connect my wallet via QR > asks me to sign my payment > polls the payment and shows me the result.

Agentic payments are new and there are many new protocols and uses cases to discover especially crypto involved . See below for WCP & Agent SDK docs and repo.

[Enes @enesozturkdev]

New WWDC vid: watch later
New WC vid: OMG

[William Candillon @wcandillon]

Drawn Together: Join us for a special event on May 8th at 5pm Zürich time

You are renderful

https://t.co/6v3VmHJ186

[Enes @enesozturkdev]

@peer_rich @calcom @pacovitiello Looks so nice

[Enes @enesozturkdev]

Missing context in my tweet; MPP is co-authored by @tempo and @stripe. Tempo's also been added as a supported chain on WalletConnect Network - curious to see how the WC wallet ecosystem and Tempo connect from here 🤝

[Enes @enesozturkdev]

My Claude Code just bought me products using my crypto wallet.

Exploring agentic crypto payments; @stripe's MPP x @walletconnect Pay. Here is demo that my agent uses Machine Payment Protocol and any crypto wallet WalletConnect implemented to buy things.

WalletConnect powers 700+ crypto wallets and millions of users - an incredible opportunity to extend that ecosystem into agentic payments. With our Agent SDK, agents can use WalletConnect as the connection layer and WalletConnect Pay as the payments layer.

Here is simply how it works: It searches through the products using the MPP endpoint > initializes payment with WalletConnect Pay API > asks me to connect my wallet via QR > asks me to sign my payment > polls the payment and shows me the result.

Agentic payments are new and there are many new protocols and uses cases to discover especially crypto involved . See below for WCP & Agent SDK docs and repo.

[Enes @enesozturkdev]

I've been looking for some frontend skills on https://t.co/bB3vf41GJW - most of them unfortunately AI written and I'm seeing that Inter font has been banned to use. Is this how the 'taste' looks like? Idk man

[Enes @enesozturkdev]

@stripe @WalletConnect My fav wallet @rainbowdotme on the left btw

[Enes @enesozturkdev]

My Claude Code just bought me products using my crypto wallet.

Exploring agentic crypto payments; @stripe's MPP x @walletconnect Pay. Here is demo that my agent uses Machine Payment Protocol and any crypto wallet WalletConnect implemented to buy things.

WalletConnect powers 700+ crypto wallets and millions of users - an incredible opportunity to extend that ecosystem into agentic payments. With our Agent SDK, agents can use WalletConnect as the connection layer and WalletConnect Pay as the payments layer.

Here is simply how it works: It searches through the products using the MPP endpoint > initializes payment with WalletConnect Pay API > asks me to connect my wallet via QR > asks me to sign my payment > polls the payment and shows me the result.

Agentic payments are new and there are many new protocols and uses cases to discover especially crypto involved . See below for WCP & Agent SDK docs and repo.

[Enes @enesozturkdev]

@stripe @WalletConnect Docs: https://t.co/r6pgh8FKpt
Repo: https://t.co/pcemhkC7va

[Mert Koseoglu @mksglu]

context-mode v1.0.103 just shipped. 📊

105K+ users · 10.8K+ GitHub stars · 745 forks · 14 platforms

Your AI coding sessions now have analytics.

`ctx insight` — a personal dashboard that reads your session history and tells you what's working, what's not, and what to fix.

What it tracks:

→ 23 event categories. Every file edit, git commit, error, subagent delegation, plan approval, blocker, and CLAUDE.md load — captured automatically. No config needed.

→ 37 insight patterns. Not vanity metrics. "Your session ended with 7 errors and zero commits — all effort was lost." "CLAUDE.md loaded → error resolution rate jumped to 85%." "Same file edited 12 times — write a spec first."

→ 4 composite scores (0-100). Productivity, Quality, Delegation, Context Health. One number per dimension. Track weekly.

→ Error Intelligence. Resolution rate, retry storm detection, P95 latency by tool, top error sources. Not just "you had errors" — "here's which tool fails most and how long it takes to recover."

→ Delegation analytics. Agent completion rate, parallel burst detection, time saved. "You launched 45 agents, 38 completed, 12 parallel bursts — saved ~76 minutes."

→ CLAUDE.md correlation. The killer insight: sessions with rules loaded show measurably higher error resolution. Sessions without → errors pile up. This single metric convinced 3 teams to adopt CLAUDE.md this week.

The numbers from 29 sessions:

Files tracked 391 ██████████████████████████████
Git operations 98 ████████░░░░░░░░░░░░░░░░░░░░░░
Rejected approaches 83 ██████░░░░░░░░░░░░░░░░░░░░░░░░
Errors caught 66 █████░░░░░░░░░░░░░░░░░░░░░░░░░
Latency events 52 ████░░░░░░░░░░░░░░░░░░░░░░░░░░
Decisions tracked 21 ██░░░░░░░░░░░░░░░░░░░░░░░░░░░░
Skills used 15 █░░░░░░░░░░░░░░░░░░░░░░░░░░░░░

1,100 events remembered across 29 sessions — searchable after compact & restart.

Also in this release:

→ Windows hook fixes. `process.execPath` replaces bare `node` — no more MSYS path mangling on D: drives, no more Git Bash PATH failures. All 8 adapters updated.

→ Node v24 compatibility. `ensure-deps` no longer skips `better-sqlite3` install on modern runtimes. The SIGSEGV-prone probe is skipped — the install isn't.

Every insight runs locally. Your data never leaves your machine.

Open source. Free tier. No account required.

https://t.co/q8ipFHA3dO

[Enes @enesozturkdev]

@cyberdrk @WalletConnect Its been amazing to work together sir 🫡

[Enes @enesozturkdev]

@aisdk @amorriscode when in Claude desktop app

[Enes @enesozturkdev]

I have one asking from all chat apps - please let user continue typing when the streaming happens.

This is such a nice feature of Claude Code has and I was thinking how to (partially) achieve it with @aisdk - here is a lil breakdown how it works:

Keep a messageQueue state array alongside useChat > On submit check status and if it's streaming still, push to queue instead of calling sendMessage > A useEffect watches for status === "ready" and drains the queue one by one > The input is never disabled — users can keep typing and submitting freely

Things I want to achieve still are to accept mid-stream messages where it shouldn't be waiting model to finish responding to previous message (like Claude Code) + accepting multiple messages from queue if necessary. There is no straightforward way to do this as far as I've searched in AI SDK docs but will try to achieve

[Enes @enesozturkdev]

@aisdk Like to hear thoughts from @lgrammel @nicoalbanese10 if there is any way for mid stream messages

[Enes @enesozturkdev]

[Meta Ads] Generative UI components are so fun to build. Added support for promoting existing post from Facebook or Instagram. This type of ads are the most common way businesses do because it's easy for them but I think many forget that without right targeting it's waste of money. Now it'll be more efficient with AI to adjust the ad with details like target users, following metrics and make updates for better performance.

Showcased this to some companies and hearing great feedback. I think there are a lot to build in the digital marketing area. Will share more soon

[Enes @enesozturkdev]

This might go out soon

[Enes @enesozturkdev]

This might go out soon

[Enes @enesozturkdev]

[Meta Ads] Creating AI based ad campaigns achieved internally

Been spending time with ads APIs, they are completely cursed - there are thousands of variations of a campaign object, bad/missing documentation, things getting easily out dated. Same for both Google Ads and Meta Ads. Hopefully with Claude Code made deep dive on each APIs and found out basic campaign creation.

I love the interactive components in chat, so easy with @aisdk
- User confirmations
- Interactive data entry (image and account selection)
- Remembers choice across chat
- Success/error handling
- Beautiful by its root; @shadcn components

Each component designed as tool to @aisdk for it's purpose. Next step I want to try json-render by @ctatedev, curious how AI come up with dynamic components for different variations of an ad/campaign.