Current pricing dated to the day, head-to-head scorecards, every figure linked to its source, and a daily brief on what changed.
Free tools
The true monthly cost of 19 AI coding tools for your team. The sticker seat price is the floor, not the cap.
ComparatorRank 70+ model and provider rates by your token volume, including open models priced across every host.
FinderAnswer four questions, get a recommended AI stack with the reason behind every pick.
Fresh off the bench
Cursor 3.9 ships a Plugin Marketplace, a Customize page, and private team plugin repos on GitLab, Bitbucket, and Azure DevOps. Here is how a team lead rolls out one shared config in about an hour, and how to keep it from sprawling.
Beehiiv's MCP went from read-only to write on June 16, 2026. Here is what the write tools can build, what still needs the dashboard, and whether the Scale plan upgrade pays off for a solo operator.
For MCP-heavy agent stacks, Kimi K2.7 Code leads on tool-use accuracy. For raw code correctness at scale, DeepSeek V4 Pro is ahead. Qwen3.5-397B fills the multilingual gap. Here is the full data behind each call, including a self-hosting cost breakdown and workload decision matrix.
Cursor acquired Continue on June 16. Users have until July 15 to export data. Here is which tool to use based on what you used Continue for - Cline, Cursor, Copilot, or Windsurf.
Sakana Fugu is an orchestration model: one OpenAI-compatible endpoint that routes your task across a swappable pool of frontier LLMs. Here is how it works, the verified benchmarks, the cost math, and when it beats staying on your current API.
Tenet Security showed that a public Sentry DSN anyone can read in your JavaScript lets an attacker run code on a developer's machine through the Sentry MCP server. Here is the five-step attack chain, why EDR and WAF miss it, and the per-tool settings that close it.
Tavily ranks passages, Exa searches a semantic index, Firecrawl extracts full pages, and Jina Reader strips one URL to markdown for free. We pulled the current pricing for all four and mapped each to the agent architecture it actually fits, with a normalized cost table at 1K, 10K, and 100K calls a month.
Six tools that show whether ChatGPT, Perplexity, and Google AI Overviews are citing you. We pulled current pricing, mapped each to a use case, and named one pick per persona, from the free Bing baseline to a Firecrawl-built DIY tracker.
Lindy, Superhuman, and Fyxer solve three different inbox problems. This comparison maps each tool to the buyer persona it actually fits, with verified June 2026 pricing.
What changed today
Anthropic submitted a formal letter to the Senate Banking Committee accusing Alibaba of running an industrial-scale model-distillation campaign against Claude from April 22 to June 5, 2026, generating 28.8 million unauthorized exchanges through roughly 25,000 fraudulent accounts.
Thirteen stories today: federal approval gates GPT-5.6 for the first time, Anthropic details the largest known AI distillation attack at Senate, IBM and OpenAI each announce chip breakthroughs, a bipartisan moratorium bill targets data centers over 20MW, and China's GLM-5.2 beats GPT-5.5 on coding at one-sixth the cost.
The Trump administration asked OpenAI to restrict GPT-5.6 to government-approved enterprise partners before any public release, marking the first time the US government has preemptively gated an American AI model before launch.
IBM Research published results at VLSI 2026 showing a 0.7nm nanosheet chip that vertically stacks transistors in 3D, projecting 50% more performance or 70% better efficiency than its 2nm node.
OpenAI revealed its first custom silicon on June 24, 2026: Jalapeno, an LLM inference accelerator co-developed with Broadcom that targets gigawatt-scale deployment by end of 2026 and is already running GPT-5.3-Codex-Spark in lab testing.
Built by Pondero
Home maintenance on autopilot. A local-first iOS app: seasonal tasks tuned to your climate, an item and document vault, local pros, and a built-in AI helper. Free.
An installable, annotated system for Claude Code: 7 model-routed subagents, working hooks, slash commands, and tiered CLAUDE.md templates. One-time, no subscription.
What we'd pay for
Open-source terminal AI pair programmer whose real differentiator is one commit per change. Why the git-native model is the tradeoff to evaluate, and who should skip it.
AI-first code editor built on VS Code with deep integration of Claude, GPT-4, and other LLMs for code generation, editing, and chat.
Open-source VS Code coding agent with a per-step human approval gate and bring-your-own-key billing. The Apache 2.0 license and direct provider billing are the whole reason to pick it over a closed IDE fork.
Make shipped AI Agents and MCP tools in 2026, closing the agent-loop gap that capped our last review. Updated rating, current credit pricing, and the verdict vs n8n.
Make in June 2026 is the strongest no-code automation platform for a non-developer ops team that wants real autonomous agents without standing up a server. AI Agents plus MCP tools close the exact gap that capped our last review: the model now chooses its own next tool from MCP servers and native modules in a single run. The pick flips to n8n the moment you can run Docker and want cost to stop scaling with volume, since self-hosting deletes the per-credit meter Make charges on, and it flips to Zapier for a first-time team that wants the shortest path to a working automation today.
SpaceX is buying Cursor for $60B. The product is the same editor it was last month. Here is the buy-now call for solo devs and the wait-and-watch call for teams.
Cursor is still the strongest AI editor in 2026, and the Tab model's next-edit prediction is the reason. The $60B SpaceX acquisition changes the ownership, not the product you use today. For a solo developer on typed-language code, this is a clear buy at $20/month. For a team, hold seats month-to-month until the deal closes in Q3 and post-close model access is confirmed, because the one thing nobody can promise yet is that Claude and GPT stay inside the editor once an xAI-owned SpaceX runs it.
Claude Opus 4.8 ships at the same $5/$25 per million tokens as Opus 4.7, so the upgrade is free at the API level. Here is what changed, how it lines up against GPT-5.5, and which plan to pick for your use case.
Upgrade if you run agentic or coding workloads, because the price is identical to Opus 4.7 and the tool-calling and long-context handling are better per Anthropic's announcement. The decision is easiest at the API layer: same $5/$25 per million tokens, so swap the model ID and keep your bill flat. For chat users on Pro or Max, effort control alone is worth the switch. The one group that should hold is anyone whose work is summarization, drafting, or light Q&A at volume, where Sonnet 4.6 at $3/$15 does the job for 40 percent less. We score it 4.5 of 5: the model and its release features are strong and the price is unchanged, with the half-point held back because fast mode is an API-only preview and dynamic workflows skip the solo Pro tier.
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