8 out of 10 agent frameworks launched this year will be dead by Q4. The 2 that survive aren't the ones trending today. Rohit's piece is the cleanest filter for what to actually pay attention to in 2026. Worth bookmarking. 5 tests to run any new launch through: 1. Will this matter in 2 years? Wrappers around frontier models have a 6-month half-life. Primitives like protocols, memory patterns, sandboxing last years. 2. Has someone you respect shipped real production work and written a postmortem? Marketing posts don't count. "We tried X and here's what broke" is worth 10 launch announcements. 3. Does adopting it force you to throw out your tracing, retries, auth, config? 90% of frameworks trying to be platforms die. Good primitives slot in. 4. What's the cost of skipping for 6 months? For most launches: zero. The winning version will be clearer. Skipping isn't falling behind. 5. Can you measure if it actually helps your agents? No evals means guessing. Teams without evals ship on vibes and ship regressions. 5 primitives that compound: 1. Context engineering. Context is state. Every irrelevant token costs reasoning quality. By step 8 of a 10-step task, the original goal is buried under tool output. 2. Tool design. 5 to 10 well-named tools beat 20 mediocre ones. One team cut retry loops 40% by rewriting error messages alone. 3. Orchestrator-subagent pattern. Default to single-agent. Reach for multi-agent only when you hit a real wall. 4. Evals plus golden datasets. Highest-leverage habit. Most under-invested. 50 hand-labeled examples in an afternoon is enough to start. 5. File-system-as-state with think-act-observe. Claude Code, Cursor, Devin, Aider all converged here. Model is stateless. Harness is stateful. The catch: The actual professional skill is being uncool about what you don't pick up. The trending framework this week will have cheerleaders for 14 days. 6 months later half are unmaintained. Skip in 2026: AutoGen for production, CrewAI for production, autonomous agent pitches, naive parallel multi-agents, per-seat pricing for new agent products. If your agent only works with one model, that's a smell, not a moat.