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I now have a near-autonomous AI workflow that can complete a feature end-to-end in 30 minutes.
Not just write code.
I mean:
- requirements
- design
- planning
- implementation
- verification
- tests
- review
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Hoang Nguyen
2K posts
Hoang Nguyen
@codeaholicguy
engineering @ ShopBack
Read my blog 👉 Katılım Ağustos 2013
447 Takip Edilen564 Takipçiler
Insane: OpenClaw founder Peter Steinberger spent $1.3 million in tokens in just 30 days 😳
$1,3,00,000 in tokens from just one person coding & shipping with AI…
To put that into perspective, for $1.3M, you could:
→ Hire 6-7 senior software engineers in the US. For a full year.
→ 14-16 Sr. SWEs in Lithuania. For a full year.
→ 24-26 Sr. SWEs in India. For a full year 🤯
Now we know why he really joined OpenAI…
Tokenmaxing is getting out of hand.
Peter Steinberger 🦞@steipete
The latest CodexBar update renders API costs wayyyy nicer. codex.bar
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One more interesting thing is that this method also works well with Gemini CLI, OpenCode and Codex.
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3 simple steps to get it done:
1. Start your Claude Code in tmux session or panel/iTerm 2 tab/macOS Terminal tab
2. Run npx ai-devkit agent list to find your agent id
3. Run npx ai-devkit agent send "text" --id <agent-id> --wait
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You can use "ai-devkit agent send --wait" as an alternative for claude -p; it uses interactive mode, so you can call Claude Code programmatically with your subscription credit.
It works well on tmux, iTerm 2, or macOS terminal.
Details step by step below.
ClaudeDevs@ClaudeDevs
Starting June 15, paid Claude plans can claim a dedicated monthly credit for programmatic usage. The credit covers usage of: - Claude Agent SDK - claude -p - Claude Code GitHub Actions - Third-party apps built on the Agent SDK
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@dshukertjr Do you regenerate them in CI or just locally? Auto-generated types are great, but stale types can make AI look confident while pointing at yesterday's schema.
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Supabase automatically generating TypeScript types is still one of my favorite features!
It makes developing apps with AI (or humans) much more stable because all the backend context is available in the client-side code!
Supports various column types, views, and functions!
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You can now use the document-code skill to understand almost any part of a codebase.
Example:
“Use document-code skill to help me understand the auth flow.”
It will read the repo, explain the flow, and generate:
- Markdown file for persistent memory
- HTML artifact for easier human reading
Install: npx ai-devkit skill add codeaholicguy/ai-devkit document-code
Thariq@trq212
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The underrated truth: Codex works best when you treat it like an engineer with shell access, not a chatbot. Give it the task boundary, acceptance criteria, and validation command, then let it inspect, change, and verify.
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You can chat with your OpenCode session directly from Telegram.
We just added OpenCode adapter in ai-devkit v0.30.0.
Hoang Nguyen@codeaholicguy
Walk away from your laptop and keep talking to your running Claude Code or Codex session. AI DevKit Channel connects Telegram to your running Claude Code or Codex session on your laptop, so you can send prompts from your phone and get replies back without being at your terminal. It is experimental today and currently supports Telegram. Run: npx ai-devkit channel connect telegram If this is useful, I’ll build WhatsApp, Discord, and Slack next.
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When your users become your testers
github.com/oven-sh/bun/pu…
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The more AI accelerates, the more important reflection becomes.
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@dexhorthy same thoughts, you can build on top of ai-devkit, we already had a rich set of agent adapters
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hey surprise - you can just launch interactive in tmux and then tail the jsonl - shipped a small wrapper...ralph loop iterating to full parity rn github.com/dexhorthy/shan…
ClaudeDevs@ClaudeDevs
Starting June 15, paid Claude plans can claim a dedicated monthly credit for programmatic usage. The credit covers usage of: - Claude Agent SDK - claude -p - Claude Code GitHub Actions - Third-party apps built on the Agent SDK
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AI will not create more 10x engineers.
It will expose who was never close.
When code generation gets cheaper, the real bottleneck becomes context, judgment, verification, and ownership.
AI does not replace engineering maturity.
It punishes the lack of it.
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