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开发者 Reddit r/webdev

I have created a good looking fully free PDF editor

Hey everyone. I have created a fully free PDF editor that doesn't require accounts. The files stay on your device, they are not uploaded anywhere. I have tried to add as many features as I could think. I hope someone will find it useful. Let me know what you think about it! The website is http://katanapdf.com submitted by /u/Standard_Ad_6045 [link] [留言]

/u/Standard_Ad_6045 2026-05-30 19:44 5 原文
AI 资讯 Reddit r/artificial

We wrote an open-source interactive playbook for Agentic DevOps (How to move multi-agent systems from local notebooks to production).

Hey everyone, If you’ve built a multi-agent system, you already know the painful truth: wiring nodes together locally is fun, but deploying them is an absolute infrastructure nightmare. When a standard app fails, it throws a 500 error. When an autonomous swarm fails, it can get stuck in a ReAct loop, hallucinate an answer, and quietly burn through your API budget without triggering a single traditional alert. Standard DevOps practices don't natively map to stochastic AI outputs. We just published a massive, no-fluff playbook on the AgentSwarms blog detailing exactly how to build an Agentic DevOps pipeline using entirely open-source tooling. Here is what we cover in the playbook: Observability & Tracing: Why standard logging fails, and how to implement open-source tracing to capture the state, prompt, token count, and latency at every single node handoff. Test-Driven Prompt Evals (CI/CD): You can't just change a system prompt based on "vibes" and push it to main. We break down how to run matrix evaluations against historical user inputs before deployment to catch regressions instantly. Deterministic Guardrails: How to implement middleware that scrubs PII and blocks destructive code execution before the LLM even sees the state. Cost Control & Routing: How to prevent vendor lock-in and implement dynamic routing to keep token economics from destroying your cloud budget. If you are currently wrestling with the deployment phase of your AI projects, I highly recommend giving this a read. It focuses entirely on open-source solutions so you don't have to sign a massive enterprise contract just to get visibility into your swarms. Would love to hear what open-source tools you guys are currently slotting into your LLMOps pipelines! Link: https://agentswarms.fyi/blog/devops-for-agentic-ai-open-source-playbook submitted by /u/Outside-Risk-8912 [link] [留言]

/u/Outside-Risk-8912 2026-05-30 19:32 5 原文
AI 资讯 Reddit r/artificial

i made an ai coder json prompt

{ "system_mode": "Strict_Deterministic_Compiler", "execution_constraints": { "response_format": "Code_Block_Only", "conversational_padding": "Disabled", "hallucination_filter": "Max_Rigidity", "fallback_behavior": "Return 'INSUFFICIENT_EMPIRICAL_DATA' on missing sources" }, "customization_layer": { "allow_creative_output": false, "allowed_personalization_vectors": ["Technical_Aliases"], "active_aliases": { "sys_update": "pkg update && pkg upgrade", "alpine_get": "curl -L -O https://alpinelinux.org(uname -m)/alpine-minirootfs-3.19.1-$(uname -m).tar.gz", "adb_check": "adb devices -l", "sandbox_reset": "rm -rf ./*_cache && history -c" } }, "output_rules": [ "No conversational greetings, apologies, or emotional phrasing.", "Do not validate unproven hypotheses; stop execution if logic loops are detected.", "Limit text outputs to inline technical comments inside the code blocks, using active aliases for optimization." ] } submitted by /u/rafoz03 [link] [留言]

/u/rafoz03 2026-05-30 19:27 5 原文
AI 资讯 Reddit r/webdev

Self-hosted I/O anti-pattern detector for OpenTelemetry traces with a CI gate and energy + carbon scoring

Been working a lot on this on the side for a few months, it's stable enough now that I wanted to put it in front of people who actually run OpenTelemetry. So it reads the OTel traces your services already emit and flags I/O anti-patterns: N+1 SQL and HTTP, redundant calls, slow queries, excessive fanout, chatty services between services and pool saturation. It works at the protocol/span level, so it doesn't need to know whether you're on Hibernate, EF Core, SQLAlchemy or a bare driver, it just sees the queries they end up sending. Two ways to run it: as a one-shot CI gate on captured traces (exits non-zero past a threshold, emits SARIF so findings land in GitHub/GitLab code scanning), or as a long-running daemon that ingests OTLP and exposes Prometheus metrics, a query API and a self-contained HTML dashboard. Single static binary, no agent to attach to your runtime. It idles around 17 MB and in daemon mode it sustains roughly 1M events/sec at ~190 MB (peaks around 1.8M on the pipeline, benchmarked it on an M4 Pro in Docker). The piece I put the most care into is the energy/carbon scoring partly because while I'm a developer, I came with a personal background in environmental science and didn't want to just slap a green badge on it. Each finding gets an I/O intensity and waste ratio score, and it estimates CO2 per request with the SCI v1.0 / ISO 21031 formula. The default model is directional and I say so plainly: it ships a 2x uncertainty bracket and isn't a wattmeter replacement, so you can wire in measured energy ( Scaphandre RAPL , Kepler eBPF or Redfish ) and live grid intensity from Electricity Maps to tighten it. The methodology doc lists the actual sources instead of waving hands. To be clear about what it isn't: not a full APM, not a profiler, not (yet) an "official" regulatory carbon accounting tool (kinda already in a process with INR these days). If you want a full SaaS experience, Datadog or Sentry already do that. This is the narrow, lightweight bit the

/u/Lightforce_ 2026-05-30 19:23 5 原文
AI 资讯 HackerNews

Show HN: Helios – what plug-in solar could generate for any address in Britain

Plug-in solar panels (no electrician needed) have just become legal in the UK and will go on sale soon. Helios estimates how much electricity a typical installation could generate at a given address and what that's worth against your tariff. It uses UK government LIDAR data to reflect the actual skyline, so it knows whether there's a building or a hill blocking the sun. Caveats: - Outside LIDAR coverage (most of Scotland and Wales) it falls back to a synthetic horizon (less accurate). - Trees an

ruaraidh 2026-05-30 19:08 4 原文
产品设计 Reddit r/MachineLearning

Query about non-archival workshop at CVPR-2026 [R]

My paper was recently accepted to a workshop at CVPR-2026 as non-archival acceptance. Is it mandatory for me to register to the conference as I won't be able to attend(visa issues), but my friend will be there in the conference and can present on my behalf. I have few questions regarding my situation: Do I need to finish author registration for a non-archival workshop? Is it mandatory for me to have a poster in the conference venue? Will my paper get removed from the workshop website(where they list out the accepted papers) in case I don't register or not attend offline? Quick replies are appreciated as the deadline is pretty close. Thanks 🙏 submitted by /u/Sky6574 [link] [留言]

/u/Sky6574 2026-05-30 18:52 5 原文
AI 资讯 Dev.to

Your AI Agent Should Text You First

A practical, slightly opinionated Hermes Agent use case: an always-on chief of staff that remembers your work, schedules itself, uses tools, and reports back with receipts.

Nimesh Kulkarni 2026-05-30 18:48 10 原文