Taya
@CoderSwapAI
Founder @CoderSwapAI | Oracle Dev for 25 years | AI Experimentalist | Expert debugger. Building vector search magic for coders: http://coderswap.ai #AIDev
SwapGo is live—your personal Google for deep research. Ask → AI pulls 20+ authoritative sources & builds a persistent, searchable knowledge base. Hybrid DSL + Vector • Claude MCP • Oracle ADW 23ai • single /v1/search API. Try free, no signup: coderswap.ai
Recent earnings hint at a split: AI infra (chips + cloud) is thriving; app/model sellers face margin pressure as software prices fall. If this persists, infra/scale captures most value; pure AI SaaS gets squeezed. Think NVIDIA + AWS/Azure/GCP/Oracle > agent-only vendors.
Heads up, all vibe-coders using Claude Code: review every async event loop it generates. An unbounded asyncio loop will hammer your cloud resources and explode your bill. Add timeouts and guards before shipping. Claude models love async event loops.
I have been an Oracle developer for 20 years, most of my time spent reusing existing code, bug fixing, and yes, copy-pasting. People expecting a significant productivity boost from AI at companies will be disappointed.
GPT-5 Pro often gets stuck at "Finished Reasoning." Is this a bug? Has it happened to any of you?
Good job breaking down the complex topic of Agentic RAG. In my experience, the evaluation agent often retries due to lacking the specific intent the user actually expected. We solved this by adding an intent-aware DSL (Domain-Specific Language) that weights semantic vs. lexical…
If you want to get the most from vibe-coding, work on the non-coding basics: meditation, exercise and good night's sleep. They keep you in the flow.
I have found that the most effective way to store and analyze tool calls and usage is to normalize and store them in relational tables. This will allow us to build SQL analyses. Storing the logs as-is is difficult to analyze and has too much noise. I use Oracle, but SQLite or…
Who would you pick as a cofounder for your startup? 1. Older, experienced veteran 2. Younger Gen Xer with little experience A veteran brings expertise but also baggage and tends to be more risk-averse. A younger Gen Xer brings out-of-the-box thinking and is more of a…
VCs are like LLMs, limited by context window. To boost your odds, fill the context window with the right data.
This resonates with my experience building AI agents for Oracle ERP SQL and enterprise search. LLMs perform well with proper scaffolding to guide solutions, but they aren't fully autonomous yet. The key is a "maestro layer"—guardrails and orchestration frameworks to prevent…
🥳Announcing LangChain and LangGraph 1.0 LangChain and LangGraph 1.0 versions are now LIVE!!!! For both Python and TypeScript Some exciting highlights: - NEW DOCS!!!! - LangChain Agent: revamped and more flexible with middleware - LangGraph 1.0: we've been really happy with…
be honest If you could restart your indie journey from zero, what’s one mistake you’d never repeat?
Launching on Product Hunt today 👇 producthunt.com/products/coder…
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