Postingan

Show HN: MCP server gives your agent a budget (save tokens, get smarter results) https://ift.tt/ykMrxQ7

Show HN: MCP server gives your agent a budget (save tokens, get smarter results) As a consultant I foot my own Cursor bills, and last month was $1,263. Opus is too good not to use, but there's no way to cap spending per session. After blowing through my Ultra limit, I realized how token-hungry Cursor + Opus really is. It spins up sub-agents, balloons the context window, and suddenly, a task I expected to cost $2 comes back at $8. My bill kept going up, but was I really going to switch to a worse model? No. So I built l6e: an MCP server that gives your agent the ability to budget. It works with Cursor, Claude Code, Windsurf, Openclaw, and every MCP-compatible application. Saving money was why I built it, but what surprised me was that the process of budgeting changed the agent's behavior. An agent that understands the limitations of the resources doesn't try to speculatively increase the context window with extra files. It doesn't try to reach every possible API. The age...

Show HN: A Claude Code–driven tutor for learning algorithms in Go https://ift.tt/V5J8HSi

Show HN: A Claude Code–driven tutor for learning algorithms in Go https://ift.tt/yRlDxCJ April 15, 2026 at 12:41AM

Show HN: LangAlpha – what if Claude Code was built for Wall Street? https://ift.tt/QVt7SUP

Show HN: LangAlpha – what if Claude Code was built for Wall Street? Some technical context on what we ran into building this. MCP tools don't really work for financial data at scale. One tool call for five years of daily prices dumps tens of thousands of tokens into the context window. And data vendors pack dozens of tools into a single MCP server, schemas alone can eat 50k+ tokens before the agent does anything useful. So we auto-generate typed Python modules from the MCP schemas at workspace init and upload them into the sandbox. The agent just imports them like a normal library. Only a one-line summary per server stays in the prompt. We have around 80 tools across our servers and the prompt cost is the same whether a server has 3 tools or 30. This part isn't finance-specific, it works with any MCP server. The other big thing was making research actually persist across sessions. Most agents treat a single deliverable (a PDF, a spreadsheet) as the end goal. In investing that...

Show HN: pg_grpc – Call gRPC services directly from PostgreSQL https://ift.tt/C9uaTW7

Show HN: pg_grpc – Call gRPC services directly from PostgreSQL https://ift.tt/ifnY4rb April 14, 2026 at 12:50AM

Show HN: 15 yrs of Django in prod: patterns I keep using (agent skills) https://ift.tt/kDZNKUR

Show HN: 15 yrs of Django in prod: patterns I keep using (agent skills) https://ift.tt/9y8p3Rg April 13, 2026 at 10:16PM

Show HN: Rekal – Long-term memory for LLMs in a single SQLite file https://ift.tt/6fOuzy5

Show HN: Rekal – Long-term memory for LLMs in a single SQLite file I got tired of repeating myself to my LLM every session. rekal is an MCP server that stores memories in SQLite and retrieves them with hybrid search (BM25 + vectors + recency decay). One file, local embeddings, no API keys. https://ift.tt/BmMPwiu April 13, 2026 at 04:25AM

Show HN: Claudraband – Claude Code for the Power User https://ift.tt/iecGOW1