What’s After Copilot?.Copilot showed what’s possible. 37lab shows what’s next:. Multi-model workflows. Persistent memory. Context-aware collaboration. AI that works for real teams. #37lab #NextGenAI #LLM.

Code You Can Trust.What makes code trustworthy?.✅ History.✅ Review trail.✅ Reversibility. 37lab gives you all 3. Built-in diffs + Git awareness. Control, not chaos. #37lab #CodeTrust #AIDevTools.

Not a Prompt Machine.Most dev tools = slot machines. Prompt > pray > hope it works. 37lab is a memory engine. Project-wide context. No guessing. #37lab #MemoryAI #LLM.

Why AI Stalls in Enterprise.Enterprise AI fails when there's:. No memory. No control. No trust. 37lab is different: Secure. Context-aware. Git-native. AI that meets enterprise standards. #37lab #EnterpriseAI.

AI That Feels Like a Teammate.Imagine Copilot, but it learns your repo. Tracks your habits. Gives reviews. That’s 37lab. Not just an assistant. A code-aware teammate. #37lab #AICollaboration #NextGenDev.

Signs Your Tools Are Slowing You Down.✅ Repeating yourself.✅ Forgetting decisions.✅ Code you can't trust. 37lab fixes all 3 with persistent memory and reviewable AI. Built for the grind. #37lab #DevTools #LLM.

One Model? Nah. Most tools lock you into one model. We don’t. 37lab is model-agnostic. Claude, ChatGPT, open source — plug and go. AI should fit your stack. #AIStack #ModelFlexibility #37lab.

AI Code Reviews? Yes. AI that writes code is cool. AI that reviews it? Smarter. 37lab lets agents review each other with diffs, not guesses. Built-in quality control. #37lab #CodeReview #AIDevTools.

Dependencies Matter.Code doesn’t live in a vacuum. Neither should your AI. 37lab tracks dependencies, architecture, and your full dev history. AI that understands structure = smarter output. #LLM #37lab #CodeAware.

Post TextThe Cost of Forgetful AI.AI that forgets your context costs you time, trust, and dollars. 37lab stores memory where it matters: pgvector + Neo4j + Git-native review. No more blank-slate prompts. #AI #DevTools #37lab.

Early adopters — we’re opening up 37lab for pilot feedback soon. Want in? DM me. (We’re looking for teams who want to move beyond the hype and into real problem-solving.).#EarlyAccess #37lab.

Why settle for one AI when you can use the best of many?. 🧭 ChatGPT → strategy & review.⚡ Claude → code generation. 37lab’s dual-agent architecture = models working together (not isolated silos). #DualAgent #AIArchitecture #37lab.

What’s the #1 thing that makes AI *hard* to adopt in your dev process?. Fragmentation? Security? Context loss?. Curious where the pain really is 👇.#AIDevTools #LLM #37lab.

Scaling isn’t just hiring more people. Scaling = building smarter systems. 37lab gives you memory, diffs, and multi-agent orchestration — baked in from day one. #ScalingSmart #37lab #AI.

AI that forgets your project history = risky. 37lab makes AI work *with* your process:.🧠 Memory that sticks.🛠️ Git-native review.🤖 Model-agnostic dual agents. Smarter tools. Safer code. #AIDevTools #LLM #37lab.

We didn’t set out to build 'another AI dev tool.' We built the thing we wished we had after wrestling with fragmented, forgetful systems. AI that remembers. Collaborates. Speaks Git. That’s 37lab. #FounderStory #BuiltForDevs #37lab.

Autocomplete is easy. Memory is hard. 37lab uses embeddings (pgvector) + structural memory (Neo4j) to keep your project context alive — across every commit, every agent. Because code generation without context is just guessing. #PersistentMemory #CodeContext #37lab.

If you could build the perfect AI dev tool from scratch… What would it need?. (Genuinely curious. Drop your wishlist 👇).#BuildInPublic #DevTools #37lab.

One developer. Two months. A project estimated at $220K done for $16K. This is what happens when AI doesn’t just guess — it understands. #CaseStudy #AIImpact #37lab.

Most AI dev tools lose the thread. They forget. They fragment. They don’t talk to each other. 37lab changes that:.✅ Dual-agent AI.✅ Persistent memory.✅ Git-native diffs. Not hype — real engineering problem-solving. #AI #SoftwareDev #37lab.