... month Try to work out what actually consumed it Realize the answer isn't really there I want to know things like: Which project is using the most? Which model is responsible? Was it one huge session, or hundreds of smaller ones? Am I paying for long context, retries, or tool calls? Am I using an expensive model for work that didn't really need it? Which parts of my workflow are actually efficient? The annoying part is that these ... ... dashboards don't. So I'm curious what other people actually do. Just watch the usage percentage and hope? Keep a mental rule like cheap model for routine work, expensive model when it matters ? Cap yourself somehow? Start fresh sessions

... yesterday, my agent wrote a helper function the exact same one it wrote 90 minutes earlier in a file it created itself. Then it apologized. It always apologizes. The easy diagnosis is "it ran out of context". Except my session was sitting at 120K in a 200K window. Nothing overflowed. The context didn't run out it rotted. You have two budgets, not one: Hard Budget: Token limit. You notice it when the API errors out. Soft Budget: Attention quality ... ... drains silently long before you hit the limit. Chroma tested 18 models on this: every single one degraded as context grew, starting far below advertised limits. Coding sessions

... 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 came out HEAVIER: ~90.8k vs ~75k. A 72KB instruction file alone added ~20k tokens to every request, on both harnesses. Their own conclusion: configuration, not the harness, accounts for most of the production bill. The harness sets the floor, you set the ceiling. Second ... ... cache behavior gap was way bigger than the size gap. The light harness kept its prefix byte-identical and wrote ~1,000 tokens to cache over a 5-request task. The heavy one kept rewriting its own prefix mid-session

... implementations. Not because the AI was lazy because I didn't tell either tool about the other's decision. What I'm realizing: With vibe coding, you're not just managing code. You're managing context across multiple AI sessions. And each session

... properly. It should work properly now. Reason: Fable's context is set to a default of 1 million by Anthropic, so it does not report any context window data. Tablo does not find a context field for fable's session and falls back to the default value of 200k. Comment from Rabnoor Singh(@rabnoor_s): @m1tul5  Tab moved and tmux reattached elsewhere are the same failure underneath: the identity you resolved against stopped being stable, and nothing told ... ... Which is the argument I have been making all week about session

... everyone! Launching a new feature of LangWatch today on ProductHunt, developer focussed but not just dev's anymore, so also curious what each of you think. You know what Claude Code costs per seat. But do you know which sessions burned the budget, which model did the work, or whether your cache paid off? LangWatch now tracks every Claude Code session

... retry rate; the worst had 22%. On a pipeline processing 500K requests per day, that's an extra 110K requests and the bandwidth to go with them. The "cheaper" provider ended up costing us more. 3. Session control matters for cost efficiency We found that per-request rotation on session

... retry rate; the worst had 22%. On a pipeline processing 500K requests per day, that's an extra 110K requests and the bandwidth to go with them. The "cheaper" provider ended up costing us more. 3. Session control matters for cost efficiency We found that per-request rotation on session

... Looked at my Anthropic bill this month and it was almost 3x what I expected. Went digging and most of the overage was from long sessions where I kept feeding the same large files back into context because I forgot to trim the conversation, plus a few runs where an agent got stuck re-reading the same directory before I noticed. None of that was the model doing useful work, it was just me being sloppy with session

... many users through the same addresses and creating traffic patterns no real household would produce. If you're seeing intermittent failures, this is often the culprit. 3. Check your rotation strategy Are you rotating per request on a session-based task? Aggressive rotation on workflows that require session

... export was already in the app, but getting your transcripts and summaries out just got much easier. QuickQuill CLI is out. It supports starting and stopping recordings (transcription and the summary run in the background), searching and fetching past sessions, and transcribing audio files. The Obsidian case is now two lines: quickquill history --query "standup" # find the session

... gives the harness a remote headed browser that can be controlled through a browser automation protocol while still being visible and interactive. The test runner can connect to the browser, drive the page, take screenshots, and preserve a realistic session, while the team can observe what is actually happening. That combination is especially useful for agentic testing: - The agent can operate against a real headed browser session

... less flashy parts of Termi Protocol that make everyday AI-agent work more reliable. What s now live: Import SKILL.md files or complete skill packs from GitHub, npm packages and claude-code-templates commands. More reliable desktop sessions with improved recent-project behavior, safer quit/window flows, and cleaner terminal and agent panels. A fixed backer download journey: signed-out buyers are asked to sign in instead of seeing a confusing buy-again button, successful purchases lead directly to the correct ... ... Claude Code, Codex, Gemini CLI and other AI coding agents into a live 3D workspace while keeping tasks, file changes, commands and handoffs visible. If you re working with multiple agents, which part still feels most fragile: context handoff, session

... agent memory, tasks, and multi-agent workflows from one place. 1. Agent Handoff Your AI coding agent no longer loses all progress when it reaches a usage, rate, token, or context limit. Termi detects the interruption, captures the current session, and creates a handoff capsule containing the task context, previous decisions, and recent progress. From the recovery panel, you can continue with a fresh AI agent, begin a new session

... just shipped plugins, MCP, and skills for ToughTongue AI. What this means: Your coding agent (Claude Code, Codex, Cursor) can now create practice scenarios, refine them from real session data, and analyze team performance - without leaving the terminal. Setup (one command): Claude Code: claude plugin install toughtongue@toughtongue-skills Codex: codex plugin add toughtongue@toughtongue Cursor: Settings > Plugins > Import from Repo What ships: 4 skills: scenario-creator, scenario-refiner, session

... rate 12% 48% Effective input cost/day $2.90 $0.62 Output cost/day (unchanged) $7.50 $7.50 Daily total $10.40 $8.12 Wait, that is only $68/month savings on raw math. Where does the $200 come from? The bigger savings: I stay in sessions longer without hitting compaction. Before compression, long sessions

... meet you from whatever surface you actually work in. Highlights Standalone server the VibeAround runtime now runs as a vibearound-server binary without the Desktop UI, still serving the Web Hub, local API bridge, MCP endpoints, previews, pairing, and sessions. Desktop is now one client of the runtime, not the runtime itself. CLI + one-line install install the VibeAround CLI from npm, then run `va serve` to start the server. It also includes commands for launch profiles, sessions

... workflow: launch, bridge, inspect, continue, preview, and control them across devices. What s new in v0.7.7: Local Agent API Expose local Claude / Codex-style agents as OpenAI / Anthropic-compatible APIs for development and local testing. Remote / IM session continuity Better handover and pickup across desktop, mobile, browser, and IM channels, with per-channel default session

... wanted to show people what a Claude Code session actually looks like a real debugging or build session

... SARWAR ALAM(@sarwar10): @busmark_w_nika  yes, last week. Comment from SARWAR ALAM(@sarwar10): My go-to tools Keynada A project I recently built to add calming, meditative typing sounds to my workflow, making coding sessions more enjoyable than standard keyboard clicks. VS

... doorbell. It rings the same whether it's a package or a fire. That's basically the gap Pushary fills, same hook idea you've already wired, but the event carries a real handoff (done vs blocked vs

... agent launch settings, so each agent can have custom terminal arguments and agent-protocol arguments inserted into the generated launch command - This covers Codex sandbox / permission-mode / YOLO-style workflows without making the feature Codex-only - Improved IM session behavior: IM can resume the latest session

... finish a session, close Cursor, come back the next day. Ten minutes gone just reconstructing where you were. Stack decisions, rejected approaches, half-finished threads. Nobody talks about this part. Everyone optimizes the coding flow but the between-session

... Long chats break when the model forgets what you said ten turns ago. Oasis uses optional  structured session memory  (internal nickname  Railroad ) to help follow-ups stay coherent. Insight for other users:   Session

... other users:  Oasis lets you switch the assistant between a  docked sidebar  (attached to the window edge) and a  floating overlay  on top of the page. The product swaps layout  without unloading your session  when possible, so your chat and context stay in place. How to choose: Docked:  Best for long sessions