The best relationships come from preparation, not platforms.
Dwarkesh proves this in podcasting.
Same principle applies to engineering hiring.
Link in bio.
Your legacy database doesn't need a complete rewrite to work with AI.
Build an MCP server. Give LLMs direct query access to old PostgreSQL systems.
Support tickets that used to require developer time? Now handled instantly.
Staff Augmentation vs Managed Engineering Services: Which fits your 2025 roadmap?
Our latest guide breaks down when to add individual engineers vs hiring a cross-functional pod for complete delivery ownership.
Don't know? Book a strategy session w/ us.
Link in bio.
Your LLM shouldn’t just talk—it should act.
Meet Model Context Protocol (MCP), the USB-C of AI that lets ChatGPT/Claude pull from Google Calendar, HubSpot & more.
Link in bio
CTO in 2025 = AI strategist + security hawk + growth engine.
– GenAI guardrails ✅
– Zero critical vulns ✅
– Cloud spend on target ✅
– <12 % attrition ✅
Break the 2015 JD mold. See the full guide & KPIs, then steal the checklist.
At Gun.io, we’ve seen firsthand how a curated approach to hiring elevates dev performance and retention—no more sifting through endless proposals. Discover how we’re making contract work a sustainable, long-term career for world-class engineers.
Get LLMs production-ready with Gun.io devs. Implement GPU auto-scaling, vector databases, and advanced orchestration. Batching, quantization, caching, and solid MLOps are your keys to reliable, cost-efficient large-scale AI—beyond just adding more hardware.
Dynamic customer support and real-time data insights can be achieved by integrating GPT & RAG, but building it right can be a challenge.
👇 Best practices, pitfalls, and how expert freelance AI devs can help. Link in bio.
Using LLMs is table stakes. We chatted with ML expert Bjørn Furuknap about AI that learns on the fly and takes action, not just chats. Link in bio for where AI seems to be headed next.
Replacing an employee costs WAY more than you think - probably by an order of magnitude.
When devs leave, they take years of architectural context with them. It's why we're obsessed with matching companies with pre-vetted senior devs who hit the ground running.
Real numbers
Your freelance developers have seen 20+ different companies make the same mistakes you're about to make.
Are you actually listening to them?
How the biggest tech disasters could have been prevented, and why your contractors know more than you think
Great engineering teams thrive on purpose, not pings. High-trust teams know when to write vs when to talk.
Stop treating every question like a fire drill. Start building systems that scale knowledge.
