4 boys, footy rules our week. #scfc #fefl Clickhouse. Currently having a blast building AI chatbots on Cloudflare with agents, ai-sdk, durable objects and d1.

Joined April 2008
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🚀 Introducing DeepSeek-V4.1-Flash: smarter, faster, more efficient. 🔹 Introducing the smallest model in our new architecture family, with native visual understanding. 🔹 Designed for greater capability, faster inference, higher throughput, and scaling to larger models. 1/6
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Right @FEFLOfficial is live... we have 80 in for the FEFL CL/EL tournament. Lots of familiar faces... are you signed up yet. 16 more spots left. 10 days until the season kicks off! Who still wants in? #FEFLCL #FEFLEL
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A reminder as @FEFLOfficial goes live soon 👀. If you are playing FEFL this year then why not get involved in the FEFL Champions League and FEFL Europa League. Please just comment to enter, we have around 20spots left. Any shares/RTs appreciated 🙌❤️
Right... this is the early launch of the @FEFLOfficial Champions League and Europa League for 26/27 (may need to adapt the logos). The google sheet is ready but are you? Let me know if you are going to be playing the @FEFLOfficial for 2026/27 and are interested in the CL/EL!
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The @FEFLOfficial game is yet to launch but if you are going to be playing it, why not choose to play a great little tournament on the side. We have 71 people of 96 in now. If you want to join please comment below 🙌❤️ please share and help support it too if possible!
Right... this is the early launch of the @FEFLOfficial Champions League and Europa League for 26/27 (may need to adapt the logos). The google sheet is ready but are you? Let me know if you are going to be playing the @FEFLOfficial for 2026/27 and are interested in the CL/EL!
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Been quiet but we need some traction with this! The @FEFLOfficial Awards 25/26 link is in the tweet below. Please vote and share this so we can get as many people voting as possible! i appreciate the help! #FantasyEFL
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You've heard of @Cloudflare Durable Objects... but what are they? What do they enable you to build? What are the platform guarantees? What new patterns do they open up? Good news! I just released a completely free series on Durable Objects! databaseschool.com/series/du…
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100% of dev is going to be done in sandboxes in the cloud, controlled by kanban boards. Trust me, I love my local machine and gorgeous mac apps, but all of it is just a terrible form factor for running a team of agents effectively.
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I hated Scrum by the morning of Day-2 when I saw it was being weaponized. It was a whip to drive relentless change within what was otherwise waterfall, but with 1/10 the thought common to waterfall. That was 20 years ago. No matter. Teams that I worked with still used Scrum.
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I am an Arab and I am a Muslim, listen to me : BAN THE MUSLIM BROTHERHOOD !
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so here’s what I’ve been working on for the past month or so software should be self-healing errgent.com
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Now we know why devs aren't sleeping. Something is indeed off. I am speaking from experience. Just one more prompt. 4 hours later...
Has anyone done a study on gambling vs vibe coding? I was addicted to opening MTG packs back in high school, and the feeling of waiting for an agent to finish is veeeeeery familiar.
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Developer choice is what fuels GitHub. IDEs, models, and now agents. @claudeai Code and @OpenAI's Codex are now available in Copilot Pro+ and Enterprise, orchestrated through Agent HQ in one workflow with one subscription. ✨
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Starting adding agents into ANY app with the new GitHub Copilot SDK powered by the Copilot CLI! I'll show you how to get setup and build some awesome apps in minutes! Let's Build! youtu.be/GsEPS1yHaHQ?si=Fez5… #githubcopilot #githubcopilotcli
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So proud of our footballers who won the group stage of the @ManUtd Premier League Primary Stars Tournament today! Next stop - Finals Day! @MU_Foundation @premierleague #Wechallengeourselves 🟡 #Motivatedtoachieve 🟢 #Togetherweareateam 🔵
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Woke up to 690,000+ views on my Ralph article (what?) So I'm going to double down and show you a real-world example of how I used Ralph to ship a feature this morning. Also, I created a public repo that makes it super easy for you to get Ralph running: github.com/snarktank/ralph 1. Created the PRD ampcode.com/threads/T-019b98… Note how I used my create-prd markdown file from github.com/snarktank/ai-dev-… 2. Created the Ralph user stories ampcode.com/threads/T-019b98… Note how I used my Ralph Skill to create the user stories github.com/snarktank/amp-ski… 3. Started Ralph with max 25 iterations ./scripts/ralph/ralph.sh 25 Iteration 1 ampcode.com/threads/T-019b98… Iteration 2 ampcode.com/threads/T-019b98… Iteration 3 ampcode.com/threads/T-019b98… Iteration 4 ampcode.com/threads/T-019b98… Iteration 5 ampcode.com/threads/T-019b98… Iteration 6 ampcode.com/threads/T-019b98… Iteration 7 ampcode.com/threads/T-019b98… Iteration 8 ampcode.com/threads/T-019b98… Iteration 9 ampcode.com/threads/T-019b98… Iteration 10 ampcode.com/threads/T-019b98… Iteration 11 ampcode.com/threads/T-019b98… Iteration 12 ampcode.com/threads/T-019b98… Iteration 13 ampcode.com/threads/T-019b98… Iteration 14 ampcode.com/threads/T-019b99… After it finished, I tested manually and found a few edge-case bugs, which Amp quickly fixed.
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I am convinced that 95% of the benefit of LLM programming is that they can't do Agile. To code with LLMs you have to do old crufty waterfall stuff like "planning" and "figuring out what you want before you code". Much more productive.
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I am calling for a total and complete shutdown of any new files in the root directory until our representatives can figure out what is going on
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If you can't see what an agent does, you can't improve it, you can't debug it, and you can't trust it. It's crazy how many teams are building agents with no way to understand what they're doing. Literally ZERO observability. This is probably one of the first questions I ask every new team I meet: Can you show me the traces of a few executions of your agents? Nada. Zero. Nilch. Large language models make bad decisions all the time. Agents fail, and you won't realize it until somebody complains. At a minimum, every agent you build should produce traces showing the full request flow, latency analysis, and system-level performance metrics. This alone will surface 80% of operational issues. But ideally, you can do something much better and capture all of the following: • Model interactions • Token usage • Timing and performance metadata • Event execution If you want reliable agents, Observability is not optional.
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