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Amazon launches new $1B FDE org, following OpenAI and Anthropic
23 days ago
- AWS launched a new internal organization of forward-deployed engineers (FDEs) to help companies integrate AI, focusing on fast engagements and customer self-sufficiency.
- The FDE model, pioneered by Palantir, involves engineers embedding within client companies to deploy purpose-built agents, allowing tailored solutions and direct response to challenges.
- AWS committed $1 billion in internal resources to the new org, emphasizing that clients gain both AI solutions and lasting engineering capabilities.
- The model's advantages include reusable technology, tailored deployments, and client expertise influx, but it requires maintaining a corps of FDE engineers, making it labor-intensive.
- Other AI labs like OpenAI and Anthropic have also launched FDE joint ventures, valued at $4 billion and $1.5 billion respectively, partnering with private equity firms for capital and client connections.
Collabora Office Update with Choose Your Own LLM Adventure
22 days ago
- Collabora Office 26.04 is released with optional AI assistant for Writer, Calc, and Impress, allowing users to choose their own LLM model.
- Enhanced integration with Windows, macOS, and Linux includes native menu bars, dark mode support, and distribution via Flatpak and Snap for Linux.
- New features from CODE 26.04 include document comparison, multi-page view, calculated pivot fields, slide sections, and Markdown import/export.
- The AI assistant is deactivated by default, focuses on data sovereignty, and complies with EU AI Act transparency requirements.
- Available free on Microsoft Store, Mac App Store, Flathub, and Snap, but still in preview with potential bugs and no enterprise support yet.
Emacs and AI, the combination you've been missing
19 days ago
- The author describes frustration with switching between Emacs and AI tools like Claude for coding assistance.
- An epiphany occurs about integrating AI directly into Emacs using Claude to write custom plugins, despite the author's limited knowledge of Elisp.
- Claude successfully generates a functional Emacs plugin, demonstrating that AI can help customize Emacs to create an ideal development environment.
The "Merge" with AI Has Begun
18 days ago
- OpenAI CEO Sam Altman promotes merging humanity with AI to survive artificial superintelligence (ASI), envisioning digital posthumans or human obsolescence.
- The 'merge' is already evident as AI replaces human roles in education, work, and social life, raising concerns about dependency and the loss of critical thinking.
- Silicon Valley's 'digital eschatology' advocates a future dominated by digital beings, with tech elites potentially monopolizing access while marginalizing others.
- Resistance through regulation, boycotts, and public awareness is urged to prevent a future where humans become economically and socially obsolete.
Show HN: Codapult – Next.js SaaS boilerplate with 70+ modules & adapter pattern
16 days ago
- Codapult provides a ready-to-use SaaS foundation with modules like auth, payments, teams, admin, AI, SSO, and infrastructure, allowing customization and scaling without rebuilding.
- It includes full source code for flexibility, enabling changes to architecture, provider swaps, self-hosting, and avoiding vendor lock-in.
- The stack is production-ready with folder structure, UI, payments, auth, docs, tests, deployment, and observability set up out of the box.
- Built-in AI features include chat, model providers (OpenAI, Anthropic), RAG, embeddings, semantic search, and AI agent rules, with rate limits and usage quotas.
- AI Kit add-on offers multi-provider routing, prompt versioning, tool agents, guardrails, cost analytics, batch processing, and a playground.
- Modular architecture allows swapping providers (e.g., auth, payments) via environment variables and removing unneeded modules via CLI to keep the code lean.
- Deployment options include Terraform, Pulumi, Helm, Docker, AWS, Kubernetes, and Vercel, with GitHub Actions pipeline for testing and linting.
- Development uses tRPC v11 with optional GraphQL for end-to-end type safety and includes 70+ independently removable modules.
- Pricing is a one-time purchase starting at $49, with plans (Starter, Pro, Enterprise) based on project count, update periods, and support levels, and includes all modules and source code.
- Premium plugins (AI Kit, CRM, Helpdesk, Email Marketing) are separate add-ons, available individually or as a bundle, extending functionality.
Show HN: Nobie – an Excel-compatible runtime for agents and humans
12 days ago
- Performance is a main focus with weekly improvements.
- Fully Excel-compatible with correct calculations for every formula and cell.
- Direct integration with AI tools like Claude, Codex, and Gemini.
- Data privacy: files never leave your Mac, no servers or uploads.
- No vendor lock-in: uses standard .xlsx files openable in Excel anytime.
- Supports all Excel and Google Sheets functionalities.
The End of the Slack Tax
12 days ago
- Workplace chat tools like Slack act as a tax on attention to maintain company alignment, but AI may reduce this need by keeping work inherently aligned through a shared system.
- Slack's low cost per ping increased overall coordination volume, but AI can absorb work directly into a shared picture, reducing the need for constant pings and status updates.
- An effective AI strategy should shrink the alignment tax; if AI increases chat dependency, it may indicate poor integration and unnecessary coordination rather than productive work.
- As work shifts to AI-managed shared contexts, companies can become more focused, with communication centered on direction and judgment rather than tactical chatter.
What are Forward Deployed Engineers, and why are they so in demand? (2025)
12 days ago
- Forward Deployed Engineers (FDEs) are software engineers who alternate between being embedded with customer teams and core product engineering teams, performing a mix of software, sales, and platform engineering.
- Palantir pioneered the role in the early 2010s, originally calling it 'Delta', and until 2016 had more FDEs than standard software engineers, significantly shaping the role.
- FDEs help close sales by assisting customers with product integration, often traveling to customer sites (e.g., 25-50% onsite time) and working in varied environments like factory floors.
- They contribute to core product development, adding features based on customer needs, and often work with ambiguity to build solutions, such as AI integrations.
- OpenAI differentiates FDEs from Solutions Architects, with FDEs being more hands-on, writing code on customer infrastructure, and aligning with research goals to advance product roadmaps.
- Ramp employs FDEs in pods following four core principles, emphasizing collaboration with sales, embedding in product teams, and driving product engineering decisions.
- The role is in high demand in 2025, especially for integrating LLMs and AI solutions, as FDEs bridge gaps between technology and customer adoption in enterprises.
- FDEs are distinct from similar roles like Solutions Engineers or Agent Engineers by their dual focus on customer success and product contribution.
- Companies like Palantir use FDEs to overcome bureaucracy in traditional enterprises, enabling faster software integration and customer value delivery.
APIs aren't dead. Here's where MCP fits alongside them
12 days ago
- APIs remain relevant for deterministic workflows in incident management, especially for repeatable, fast actions where precise control and security are critical.
- MCP (Model Context Protocol) provides a standardized layer for AI agents to access context from multiple tools and vendors, enhancing interoperability and reducing tool sprawl.
- MCP excels in non-deterministic paths like triage and investigation, allowing AI to gather distributed context through natural language interactions and user-driven scenarios.
- APIs are battle-tested with extensive tooling and clear security models, while MCP is a newer ecosystem that reduces manual orchestration and enables context-driven automation.
- Incident management benefits from using both: APIs for reliable, high-volume integrations and MCP for dynamic, cross-tool context access in AI-native environments.

Hasty Briefsbeta

ai integration

Amazon launches new $1B FDE org, following OpenAI and Anthropic

Collabora Office Update with Choose Your Own LLM Adventure

Emacs and AI, the combination you've been missing

The "Merge" with AI Has Begun

Show HN: Codapult – Next.js SaaS boilerplate with 70+ modules & adapter pattern

Show HN: Nobie – an Excel-compatible runtime for agents and humans

The End of the Slack Tax

What are Forward Deployed Engineers, and why are they so in demand? (2025)

APIs aren't dead. Here's where MCP fits alongside them