Gareth Andrew

1.5K posts

Gareth Andrew

Gareth Andrew

@gingerhendrixai

Software/AI Engineer. Hacker and experimenter. Vibe Coder.

Belfast Katılım Ağustos 2024
812 Takip Edilen366 Takipçiler
Gareth Andrew retweetledi
pedram.md
pedram.md@pdrmnvd·
men in their 40s used to have cool midlife crisis but now they just have agentic workflows
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Gareth Andrew
Gareth Andrew@gingerhendrixai·
deprecating all the pocs, on to building bigger things
Gareth Andrew tweet media
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Gareth Andrew retweetledi
Gareth Andrew retweetledi
sunil pai
sunil pai@threepointone·
new toys: - codemode: chew through multiple tool calls in one/few shots - shell: local fs, that you can back with do/d1/any sql db(!) and r2. git support incoming. - worker-bundler: package npm deps and serve full apps (!) do you see what's happening.
Cloudflare@Cloudflare

We’re introducing Dynamic Workers, which allow you to execute AI-generated code in secure, lightweight isolates. This approach is 100 times faster than traditional containers. cfl.re/4c2NvPl

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Gareth Andrew retweetledi
Gareth Andrew
Gareth Andrew@gingerhendrixai·
👀 the piece i was waiting on @cloudflare/worker-bundler" target="_blank" rel="nofollow noopener">npmjs.com/package/@cloud
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Gareth Andrew
Gareth Andrew@gingerhendrixai·
I keep meaning to do a proper write up, but simplified it's just using the filesystem for all context e.g. agent 1: write a file [research] agent 2: read file, and update (or write a new one) [plan] ... agent X: read file(s), write code [implement] agent Y: read code and file write new file [review] I still have some chats but only for brainstorming, and they start with some other agents writing a "context bundle" so the chat agent doesn't waste tokens going off exploring by itself. (I actually plan to turn off tools entirely for chat but not quite there yet)
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Gareth Andrew
Gareth Andrew@gingerhendrixai·
watching a (very good) @dexhorthy talk, but can't shake the image of a noble warrior trying to teach the villagers how to fight before the invading armies arrive
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Gareth Andrew
Gareth Andrew@gingerhendrixai·
@LambrosPetrou @badlogicgames @opencode Pi gives you tonnes of scope for customisation. Though I am trending the other way - building light abstractions over a pluggable harness so I can drop in CC or codex or pi etc
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Lambros Petrou
Lambros Petrou@LambrosPetrou·
I want to build my own "very lightweight" harness to do certain "deep research" like automations. What's the best harnesses to use? I am exploring Pi from @badlogicgames and I know @opencode supports what I want too but it's heavyweight. Others, with integration for Go or RPC?
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Kent C. Dodds ⚡
Kent C. Dodds ⚡@kentcdodds·
I think I'm liking the direction of a personal AI assistant built using MCP and Cloudflare Dynamic Worker Loaders (code mode). I love that I can talk to it through ChatGPT, Claude, or Cursor (existing subscriptions). I just need to build out a good memory system (biggest risk).
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Thariq
Thariq@trq212·
an increasingly large part of the job of an engineer is deciding how much compute to spend on a problem
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Eleanor Berger
Eleanor Berger@intellectronica·
@gingerhendrixai Yeah it's good for parallelism and context management. But the puppet show approach isn't really useful, it's just something people do because they're used to thinking about people.
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