iCe @icegamingdev

Full post: dev.to/icegaming/we-f…

We forgot how to review code the moment AI wrote the PR. Read the problem. Read the test. Does the fix make sense? A junior's hand-written PR gets your time. Why doesn't the AI-assisted one? #CodeReview #AI #programming

@solopribuilds palacememory.com

How it’s measured: LongMemEval s_cleaned, 470 questions, ~50 sessions each. Retrieval only (is the right session in the top K?), chats stored the way Palace mines them, one chunk per exchange. R@1 0.906 · R@5 0.985 · R@10 0.994 Honest caveats: R@5 on the s split is near its ceiling, and Mem0/Zep-style numbers are end-to-end QA accuracy, a different metric. Next up: the M split, ~10x bigger haystacks. Method and per-type results in the README.

Palace hits 0.985 Recall@5 on LongMemEval with zero LLM calls. Local memory for AI agents: one Rust binary + SQLite, int8 MiniLM on CPU. Nothing tuned on the benchmark, and the runner is public. github.com/AncientiCe/pal… #AIAgents #MCP #RustLang #ClaudeCode

@gmathis1995 The agent writes them: a stop hook won’t let a session end until it’s saved what it tried and decided, and the next session gets those notes injected automatically, any account. Weak spot: a hard cut-off mid-turn loses whatever wasn’t saved yet.

I compared 12 memory setups for AI coding agents: CLAUDE.md, Cline memory bank, Mem0, Zep, Letta, claude-mem, Copilot Memory, palace-rs and more. Most of them remember the final fix. Almost none remember the dead ends, or why the obvious fix was wrong. Which one would have stopped your agent from "fixing" the same bug twice? #AIagents #ClaudeCode #MCP

Palace doesn’t care which account you’re on: it’s a local SQLite file every agent on the machine reads over MCP, so a fresh session on another account sees the same memory and gets relevant notes injected on its first prompt. Dead ends carry over when the agent writes them down: the stop hook makes it save what it learned before ending. If a session gets cut off mid-turn, anything since its last save is lost, so it’s worth asking the agent to note ruled-out fixes as it goes.

@SamiDaarx A file can store the why. That's not the problem. The problem is that nobody updates it when the code changes, so the old why turns into a wrong why. Check the grid: only a few of these track when a note stops being true. That's the column that matters.

Full guide with a decision flowchart here: dev.to/icegaming/i-co…

@ryantcwynar Fair, but I'd leave that to the booking system, it already knows when checkout happens. Aice stays the voice concierge: guest asks, staff get a ticket, no audio kept. Doing that one thing really well in a room is hard enough.

Putting a local voice assistant in a hotel room broke every assumption I had. One desk, one user, trusted Wi-Fi became 100 rooms, a new guest every few days, a shared network, and staff who need tickets, not audio. What Aice v0.4.0 had to change: the room comes from a verified device token, not the client memory belongs to the stay, wiped or archived at checkout echo cancellation on an ESP32-S3 pod so guests can talk over the answer (11-14 dB removed) Whisper went from 4.8s to 1.0s per pass alerts escalate when nobody picks up All local, open source, Rust. dev.to/icegaming/from… #rustlang #ESP32 #embedded

Six places markdown memory breaks on a team: failed attempts never recorded, the why never written, stale notes, silent contradictions, keyword vs meaning, and no context across agents. dev.to/icegaming/why-… #AIagents #ClaudeCode

Markdown in git as agent memory vs Palace is Alexa vs ChatGPT. One recalls what you wrote down. The other knows why a fix landed where it did and what a teammate already tried, across Cursor, Claude Code and Codex. #AIagents #ClaudeCode #Cursor

Hey @Lovable , remember that `paddle` exercise you promoted that I reported bugs for and weren't recognized? Well, why the hell am I still getting emails of payments from that right now? I wonder!

@_ar9av The problem with post checkers is the prompt can already remove them from the equation.

AI coding agents are great at writing code. They still have three big gaps: They forget everything between sessions They can't see what a change will break They trust any text they read, including text written to manipulate them I built three free, local, open-source Rust tools, one for each gap. 🧠 palace: memory The agent saves decisions, conventions and gotchas as it works, then pulls the relevant ones back in the next session. Cursor, Claude Code and Codex share one project memory, so you stop re-explaining your codebase every morning. Embeddings run locally and nothing leaves your machine. 💥 impact: blast radius Before a change, it maps every direct and indirect caller, route, event, database table and test the change touches, so the plan covers them. After the change, it checks the real diff against that plan. It's deterministic (tree-sitter, no model) and supports 8 languages. 🛡️ mcp-warden: prompt-injection guard Jira tickets, Slack threads, emails, docs, web pages and tool output can all hide instructions aimed at your agent. mcp-warden filters that untrusted text, flags and strips the injected parts, and tells both you and the agent. All three plug in through MCP, plus rules and hooks, in one command each. Install on macOS or Linux: brew tap AncientiCe/palace && brew install palace brew install ancientice/impact/impact brew install ancientice/mcp-warden/mcp-warden Then run: palace install && impact install && mcp-warden install Code: github.com/AncientiCe #AI #AIagents #ClaudeCode #Cursor #Codex #Rust #OpenSource #DevTools #MCP #PromptInjection #AIsecurity #LLM #DeveloperTools #BuildInPublic

Imagine the stack you actually have. A POS. Omnichannel. Catalogs. Promotion engines. Checkout. Stores that still have to open in the morning. Agentic commerce is the direction of the industry. Fully invested. You can see it in the platforms, the protocols, the agents, and the money behind them. That part is settled. The shift is still too hard to make by force. You cannot turn the whole business agentic-first. Retail and physical stores still require the systems they already run on. And a POS is not flexible enough to become what those agents now need. What if. I'm just saying. What if you put an agentic orchestrator in front. The agents of the world talk to it. In return, it talks to your existing systems, as they are. Same catalogs. Same promo engine. Same checkout. Same POS. Same stores. That's the whole thing. That's what this is. That's what it does. That's the higher purpose it solves. Anyone can introduce agentic commerce now. Commerce Orchestrator is that orchestrator. Open source. Agents arrive over UCP, A2A, ACP, AP2, and MCP. Your catalog, your promos, your tax, your geo, your payment, and your receipt stay exactly where they are. Mindblowing, innit? What can I say, except you're welcome. github.com/AncientiCe/com… #AgenticCommerce #RetailTech #Omnichannel #POS #Ecommerce #AIAgents #MCP #A2A #UCP #ACP #AP2 #OpenSource #RustLang

impact v0.12.4 is out. Go fix: a type you import and only name (a struct field, a param, a composite literal, an interface method) now counts as a dependency. Rename or move it and impact shows every place it touches instead of "no dependents". brew install ancientice/impact/impact github.com/AncientiCe/imp… #golang #rustlang #AIcoding #opensource

We don't authorize cards while Stripe is down. The hub never sees the card; the reader and Stripe do, and if that call can't complete the tender is refused and the cart stays unpaid. Cash, gift cards, and the sale record itself keep working, and 2.2.0 is about those sales still reaching HQ after a long outage. The part we do own is the crash after a successful capture: every card attempt is a durable intent, and if the order never lands a sweeper voids the charge instead of leaving the customer billed for a sale we didn't record.

When the store's internet goes down, the tills should keep selling. That turned out to be harder than it sounds. I wrote up what I learned building ApexEdge, an in-store hub in Rust that keeps checkout alive through an outage: 1. Pick your commit point. The sale is committed locally on the hub, not when HQ answers. 2. The till will retry. Idempotency keys make sure a retried sale is never counted twice. 3. Fiscal signing is a network call too. Sales go into a sign-later queue, so a missing signer doesn't stop the line. 4. One outbox, many destinations. Every sale fans out to HQ, e-invoicing and webhooks, and each one retries on its own. And the parts I got wrong: - My retry budget burned through all 10 attempts in about 21 minutes. A one-hour outage would have dead-lettered real sales. - The ledger and the outbox started out as two separate writes. A crash in between meant a sale that never left the store. Now it's one transaction. Diagrams, code and a production checklist are in the article: dev.to/icegaming/keep… Repo: github.com/AncientiCe/ape… #rustlang #DistributedSystems #SoftwareArchitecture #SQLite #Retail #POS #BuildInPublic #OpenSource