ENGINEERING, NOT MODELS, IS NOW THE BOTTLENECK
A recent video argues that model capability is no longer the main constraint; the gap is in how we design agentic workflows, tool use, and evaluation for real s...
A recent video argues that model capability is no longer the main constraint; the gap is in how we design agentic workflows, tool use, and evaluation for real systems. Treat LLMs (e.g., Gemini Flash/Pro) as components and focus on orchestration, grounding, and observability to get reliable, low-latency outcomes. Claims about 'Gemini 3 Flash' are opinion; rely on official Gemini docs for concrete capabilities.
Backend reliability, latency, and cost now hinge more on system design (tools, RAG, caching, concurrency) than raw model choice.
Better evals and monitoring reduce regressions and hallucinations in codegen, data workflows, and agent actions.
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terminal
Benchmark tool-use and function-calling reliability under concurrency with strict SLAs (latency, cost, success rate) against your real APIs.
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terminal
Set up eval harnesses for repo-aware codegen and data tasks (grounded diffs, unit tests, schema changes) and run them per PR and nightly.
Legacy codebase integration strategies...
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Introduce a shadow-mode agent layer that reads from prod data and tools but writes to a sandbox, then graduate endpoints by SLO.
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Add observability (traces, prompt/version tags, cost) and a rollback switch per route to manage model or prompt drift.
Fresh architecture paradigms...
- 01.
Design micro-agents with explicit tool contracts and idempotent actions, and keep state in your DB or queue, not in prompts.
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Build eval-first: define task suites, golden datasets, and budget guards before scaling traffic or adding more tools.