Devashish Jadhav
460 posts

Devashish Jadhav
@dev_j7
"Software Developer | Tech Explorer 🌐 | Web Dev Instructor💻 | Learning, Creating, and Growing with Every Line of Code 📚 | Anime🍜 "
Mumbai, India Katılım Kasım 2017
587 Takip Edilen247 Takipçiler
Devashish Jadhav retweetledi

@lydiahallie there are no updates from anthropic if the limits are going to be fixed or are they fixing it. Whats exactly is going on?
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@TTrimoreau Claude is just being annoying right now really with its limits
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Devashish Jadhav retweetledi

@lydiahallie I know you guys are trying hard but this is too much just one prompt and its hitting its limit😞
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Devashish Jadhav retweetledi

Most developers think Claude Code = terminal + prompt.
That barely scratches the surface.
The real power of Claude Code isn’t the prompt.
It’s the system around the prompt.
Once you understand this, everything changes.
Claude Code actually works like a 4-layer AI engineering system:
1️⃣ CLAUDE.md → Project memory
Persistent context for your project.
Stores rules, conventions, and architecture decisions.
2️⃣ Skills → Reusable knowledge packs
Claude automatically invokes them when relevant.
Think: reusable workflows and expertise.
3️⃣ Hooks → Deterministic guardrails
Safety gates that run automatically.
Unlike prompts, hooks are 100% enforced.
4️⃣ Agents → Specialized sub-agents
Each with their own context window.
Great for complex, multi-step tasks.
Most engineers install Claude Code and immediately start prompting.
But the difference between average output and production-level results usually comes down to setup.
Practices that make a huge difference:
→ Run /init on day one to generate CLAUDE.md
→ Organize the .claude/ directory (skills, hooks, permissions)
→ Write clear skill descriptions so Claude knows when to trigger them
→ Use the memory hierarchy (global → project → folder)
→ Add hooks for critical rules (hooks = enforced, memory = advisory)
When structured properly, Claude Code stops feeling like a chatbot.
It starts behaving like a real AI development system.
If you want to learn it properly, Anthropic released several free courses:
Claude 101
anthropic.skilljar.com/claude-101
AI Fluency: Framework & Foundations
anthropic.skilljar.com/ai-fluency-fra…
AI Fluency for Students
anthropic.skilljar.com/ai-fluency-for…
AI Fluency for Educators
anthropic.skilljar.com/ai-fluency-for…
Teaching AI Fluency
anthropic.skilljar.com/teaching-ai-fl…
Also includes developer topics like:
• Claude Code in Action
• Building with the Claude API
• Prompt Engineering tutorials
• Model Context Protocol (MCP) fundamentals
Bookmark this if you're building with Claude.
The future of AI development isn't just prompts.
It's systems around prompts.
#AI #Claude #AIAgents #LLM #GenAI #AIEngineering

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@delveroin 2 years into my dev career and this kills me:
Pick ticket → read code → no idea why it exists.
Ticket closed.
Ask senior dev → he forgot too.
So I built Loom — links Jira tickets to the code that implements them.
github.com/ddevilz/loom
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@S_N_SH_E_ 2 years into my dev career and this kills me:
Pick ticket → read code → no idea why it exists.
Ticket closed.
Ask senior dev → he forgot too.
So I built Loom — links Jira tickets to the code that implements them.
github.com/ddevilz/loom
English

@abhijitwt 2 years into my dev career and this kills me:
Pick ticket → read code → no idea why it exists.
Ticket closed.
Ask senior dev → he forgot too.
So I built Loom — links Jira tickets to the code that implements them.
github.com/ddevilz/loom
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2 years into my dev career and this already kills me —
Pick up a ticket → read the code → have no idea why it exists → original ticket closed → ask senior dev → even he forgot
So I’m building something. 🧵
github.com/ddevilz/loom
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@heyblake 2 years into my dev career and this kills me:
Pick ticket → read code → no idea why it exists.
Ticket closed.
Ask senior dev → he forgot too.
So I built Loom — links Jira tickets to the code that implements them.
github.com/ddevilz/loom
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