... Google Research released Harness2 , and I think it reiterates an important direction for AI-native applications. The idea is that the model isn't necessarily what needs to improve. It's the harness around it: prompts, tools, memory, skills, and orchestration. Harness

... /misswell/octo-shrink apps.apple.com/cn/app/id6792604654 DevSweep - cleans developer caches to make room for your next build. Never touches source. github.com/misswell/DevSweep ClipNest - one shortcut sends clipboard content into your Obsidian vault, with AI sorting it into Markdown notes. github.com/misswell/ClipNest DeepSeek Harness Desk - an independent open-source desktop client for running DeepSeek Harness

... calls a tool and takes in new evidence while the others keep generating. What does that look like under the hood? This is what we re making visible with Lloyal s developer tools. The model and harness run in the same process, and agents are branches of its live attention state . The timeline shows their shared context and divergent execution. Inside a tool call, you can inspect which passages were selected to enter an agent s context ...

... kept them for the older ones, with an environment variable to reverse it. The note gives no reason. A component study posted in mid-September is the nearest thing to the arithmetic behind a call like that: a harness part is built to cover for something the model does badly, and the same part does a different job once the model stops doing that thing badly. The study held an agent loop fixed and swapped parts across four models ... ... first request carried a quarter of the context. We kept the typed file tools on anyway, because path permission rules attach to them and cannot see inside a shell script. How do you decide a harness

... added two CSS variables. A path rule fencing off every file but the stylesheet never fired. Real repositories look different. One benchmark pre-applied the fix to 200 issues and reopened them for five recent models in their vendors' harnesses. The right patch is empty; 35 to 65% of instances got an edit to executable code anyway, and in the authors' analysis of one model's failed traces, 87.1% had modified code unrelated to the issue. Task wording moved that ... ... edit the codebase" dragged one model's correct-abstention rate to 36.5%; reproduce first, then fix or abstain if nothing was wrong, lifted it to 88.5%. Their explanation: the agent acts on whatever it believes success means. The harness

... owning an open-source Factory, including models, authentication, storage, sandboxes, and deployment Bringing work in from GitHub, Linear, and Slack, then moving it through investigation, planning, building, and review Configuring stages with specialized agents, skills, rules, and workflows, including alternative coding harnesses

... Hello guys, i've seen a lot of movement about the pi harness and how efficient it is, so for the re-launch of Murmell, do you want that harness

... probably saw the comparison: one coding agent harness sends ~33k tokens before your prompt, another sends ~7k. Big thread, lots of outrage about waste. I finally read the whole study instead of the headline, and the actually useful findings are different from what got shared. First, in their realistic-config lane (instruction file + several MCP servers), the "light" harness

... Product Hunt Submission Draft ## Product Name remote-browser.dev ## Tagline A remote headed browser for agentic UI testing ## Short Description Build an agentic UI test harness that lets local coding agents drive a visible remote browser, collect screenshots, judge UI expectations, and produce repeatable test reports. ## Article / Maker Comment ### Building an Agentic UI Test Harness

... Codex (now @ChatGPT by OpenAI )is strong at long-context planning and execution. @Claude Code acts like a supervisor and a second pair of eyes. @OpenClaw is like my daily operations intern. I know there are many other agent harnesses. Many are open-source, including OpenHands, @Pi Coding Agent , and Hermes. I m curious. Which agent harnesses

... Almost every knowledge-work domain now has a decent tool. Harvey and Legora for legal. Rogo for finance. All decent and all narrow and not accessible to everyone. Coding has something the rest of knowledge work doesn't: harnesses. Cursor CLI, OpenCode, Codex, Claude Code general-purpose agents that turn a model into a real force multiplier. So where's the equivalent for everyone else? Why is there no publicly available harness

... load bearing question in your setup: is the person who resolves the ambiguity the person who can make it stick, or just the person who was there? Comment from Dale Mooney(@dalemooney): @alex_amancio_candoa_   @aadilghani  Constant versus invariant is the useful thing here and I am taking it. One addition: you cannot separate them by observation, but you can by deliberately violating the constant once. A property that survives a test faking an unattended caller ... ... window and then ask. The phone gets the first stretch of that window and the terminal gets the remainder. The part that surprised me when we measured it is that N is not really ours to choose. The agent harness

... Product Hunt solo builder here. Every multi-agent thing I built ended up with one "manager" object that knew every agent and every step, and an agent harness that was a giant while-loop owning the model call, the tools, the memory, and the approvals. Add a fourth agent and both became the thing that breaks. So I built Cosmonapse , a distributed agent-to-agent protocol where agents are peers on a shared bus. The model is a nervous system ... ... names tell you where logic goes: Neuron thinks (your agent, a pure function), Axon sends, Dendrite reacts, Synapse connects (the bus), Engram remembers. To build harnesses

... honest, you don't get the feedback you want. Again, in 2026, when we have so much data on what makes a good edit for your objective, we shouldn't be limited to that. AI should be harnessed to give you as much tried-and-tested feedback as possible. This is exactly why we've built Review -- a free tool that gets you feedback from your team as well as from AI. Our AI has watched thousands of hours ... ... being able to draw on the frame and select timeline rangesgives it that premium feel without the heavy price tag. Quick question: how does the AI handle different video pacing or retention hooks depending on the platform like YouTube vs

... exactly what the agent did. Setup takes 2 to 5 minutes per environment, then the agent runs unattended until the task is done or it decides a human should take over. You can switch out any part of the harness and use/call whatever you need. Completely modular and transparent with the pricing at the end( Doc ) for every type of call. Docs are at Coasty/Docs . The quickstart gets you to a first running task in a few minutes ...

... unlimited access to the best models with Fable and sol, what's the most ambitious thing you'd build? Also, where would you use these models to build things? In Claude, some other harness? Comment from Praneeth Pike(@praneethpike): @alpertayfurr  How do you do all these currently? Comment from Mustafa Arian(@thenameisarian): if i got unlimited Fable for a month, i'd build the thing i've been backlog-shelfing for 18 months: a private agent that watches ... ... this quarter for performance reviews + investor updates. half of an engineer's real work never lands on a resume because nobody writes it down at the time. an agent with persistent context across these surfaces would be the unlock. harness

... both content and   product work.   2. Google Search Console I basically live in it. For anything SEO, it's the only honest source of truth   about what's actually happening vs. what I assume is happening.   3. Ahrefs keyword and competitor

... small, but justifying the rollout took more work. The risk cut the other way too: a too-tolerant liveness probe could mask a genuinely stuck pod and delay a restart that would actually help. We wrote a small reproduction harness that runs against real kubelet in minikube. It installs 2 identically-built pods, each running the production /health handler and the production memory watchdog. Both get the same self-induced event-loop freezes on a schedule. The only difference ... ... liveness probe. DEPLOYMENT LIVENESS PROBE RESTARTS IN 2.5 MINUTES victim-oldprobe 1s default timeout, threshold 3 2 (crash-looping) victim-newprobe 5s timeout, threshold 6 0 (stable) That was enough to ship, and the harness

... Feature Update: You can now route your coding copilot or any agentic harness' traffic to self hosted models either in local or cloud in oneinfer-edge (fully open-sourced) Currently we have given support to OpenCode, KiloCode, OpenClaw, and Codex, most of you already have used at some point. No plugin. No config file. No IDE restart. You click ONEINFER, a local proxy intercepts your copilot's requests, translates the format, routes to your self hosted model, and returns ... ... expects an OpenAI messages format and your local model returns something else. Switch back to original models in one click, mid-session, no restart. For when you actually need it. This is just the start. Support for more agentic harnesses

... galdayan): our setup ended up being a Slack webhook per agent session, posted to a channel only that agent writes to. sounds basic but the key part was making the notification say WHY it's waiting (needs approval vs finished vs

... appears -> agent freezes File name typo -> agent gives up App not in foreground -> click misses I know I could write more robust skills, but that defeats the voice and forget promise. Is anyone working on a harness layer specifically for desktop reliability? Something that retries, asks clarifying questions, and logs everything? Feels like the model part is solved, the engineering part ...

... According to the 2025 @Stack Overflow Developer Survey (49,000+ participants), @VS Code still is the most-used dev environment, maintaining the top spot thanks to its marketplace. @Kilo Code , @Github Copilot , @Ultracite ... What are the extensions that significantly improve your coding workflow? Comment from Viorel Mocanu(@viorelmocanu): @fmerian  Thanks! :) Comment from Alex(@nathan044): The comment is already solid, I ve just adjusted it and naturally included one of your anchor texts: Interesting results VS

... engineering" mode better prompts, longer templates, more examples you're leaving most of the value on the table. Frontier models (Claude Opus 4.7, GPT-5.4, etc.) can now run autonomous workflows end-to-end if you build the right harness around them. Four parts: a loop, a verifiable goal, a tool set, a secure environment. I wrote a full breakdown the practice, the 4 components, the most common failure modes, and why "verifiable" is the most important word in this ...

... reporting it does proofs on systems code before starting work. Hex says it flags missing data instead of making up plausible-but-wrong fallbacks. Genspark measured loop rates on hard queries and 4.7 basically stopped looping. different teams, different harnesses, same pattern. the numbers are nuts too: - CursorBench: 58% on 4.6 70% on 4.7 - Rakuten SWE-Bench: 3x more production tasks resolved - XBOW visual-acuity: 54.5% 98.5% - Notion: tool errors cut to 1/3 - same $5 / $25 pricing as 4.6 also ... ... Swift(@splitpostio): On task budgets, I'm not sizing them yet. Pinned to 4.6 through a launch in a few weeks and the tokenizer change alone means I want to benchmark before migrating anything. The point about task shape vs

... opportunity where AI could offload a lot of busy manual work for small agencies and freelancers. But there is a massive worry of safety and reliability. I built CoAgent with this in mind. It's an AI harness built around  reliability and smart context engineering : Follow-ups that actually happen   It monitors your deals, schedules reminders, and sends emails so nothing falls through cracks Analytics and ads, handled   Google Ads, Meta Ads, Google Analytics, Fathom it pulls ...