Cover NVIDIA AIPerf launch: multiprocess inference benchmarking with TTFT, ITL tails, and realistic traffic that ends vanity throughput figures for good.
Deepak BagadaSep 20, 2026
Build guarded text-to-SQL agents with read-only roles, cost ceilings, and propose-verify-repair loops that hold 98.1% valid queries with zero escapes.
Route test-time compute by difficulty: match best-of-16 accuracy within 0.01 points at 58.9% fewer tokens with calibrated early stopping and halved latency.
Cover GPT-5.4 Pro FrontierScience lead at 36.7%: rubric-graded PhD research subtasks split from saturating Olympiad theory, plus the builder playbook.
Cover GLiFormer 575M encoder release: 91.10 F1 extraction past GPT-5-mini with zero generated tokens, plus the LLM-to-encoder migration playbook.
Run TDD agents with test-impact maps: human repro tests unlock 94.3% resolution while bare TDD prompting raises regressions 63% — maps over mantras.
Cover NVIDIA AIPerf launch: multiprocess inference benchmarking with TTFT, ITL tails, and realistic traffic that ends vanity throughput figures for good.
Route test-time compute by difficulty: match best-of-16 accuracy within 0.01 points at 58.9% fewer tokens with calibrated early stopping and halved latency.
Cover GPT-5.4 Pro FrontierScience lead at 36.7%: rubric-graded PhD research subtasks split from saturating Olympiad theory, plus the builder playbook.
Cover GLiFormer 575M encoder release: 91.10 F1 extraction past GPT-5-mini with zero generated tokens, plus the LLM-to-encoder migration playbook.
Build guarded text-to-SQL agents with read-only roles, cost ceilings, and propose-verify-repair loops that hold 98.1% valid queries with zero escapes.
Ship cron agents that survive the night: overlap policies, atomic outbox idempotency, and heartbeat absence alerts with zero duplicate side effects.
Deploy self-correcting RAG loops that grade every chunk, rewrite failed queries, fall back to web search, and ground 94% of answers with citations.
Build human-gated agent deploys with Temporal signals and LangGraph tools that hold 72-hour waits at zero compute cost and cut re-billed tokens 61%.
Deploy a PagerDuty on-call MCP server with read-open triage, urgency-gated writes, and diagnosis notes that land before responders wake with paging untouched.
Build a FastMCP disclosure server that loads 60 tools on semantic triggers, cutting init context from 48,000 to 2,000 tokens with cacheable manifests.
Build an agent release-control MCP server: eight OpenFeature flags, ladder rollouts, and kill switches that revert bad prompts in 30 seconds flat.
Deploy a Docker Fleet MCP server giving agents open reads at 41ms, allowlisted two-step exec, full audit logs, output redaction, and signed images.
Microsoft open-sources Orchard on GitHub, decoupling agent training from inference execution to slash latency by 87% and eliminate memory thrashing across enterprise multi-agent swarms.
OpenAI confirmed it cannot rule out that Astra has critical-level cyber capabilities, triggering an unprecedented safety gate. The 10T-parameter model's release is now indefinite.
Your multi-agent system has a cache coherence problem. When three agents read and write shared state simultaneously, 34% of deployments experience silent data corruption.
When your agent crashes at step 8 of a 12-step workflow, you lose everything. This Temporal MCP Server gives agents durable execution that survives crashes, deployments, and network failures.
Build features in parallel with agents-workflow for Pi CLI. PRD→Spec→Tasks→Swarm pipeline with worktree isolation. 90%+ success rate for multi-file implementations.
Deepak Bagada
Run structured interview-plan-review-orchestrate workflows in Pi CLI with dorkestrator. Topological wave-based execution boosts task completion from 45% to 85%+.
Deepak Bagada
Build resumable DAG workflows in Pi CLI with pi-taskflow. 18 agents, 8 phase types, cross-session resume, zero dependencies. Complete guide with JSON DSL examples.
Deepak Bagada
Fact Density is the ratio of verifiable, unique information to the total word count of a piece of content. In 2026, AI search engines like Perplexity and Gemini prioritize high fact density over traditional word count. A...
Deepak Bagada
The A2A (Agent-to-Agent) protocol is a horizontal communication standard that allows AI agents from different frameworks to discover, delegate, and collaborate on tasks. Unlike the Model Context Protocol (MCP), which con...
Deepak Bagada
Multi-model tournament code review catches 85-92% of issues before merge. Claude Code dynamic workflows spawn 3-5 competing models. Complete setup guide with cost analysis.
Deepak Bagada
Claude Code dynamic workflows let Claude Opus 4.8 orchestrate 100+ parallel agents for codebase migration. The Bun Zig-to-Rust port of 750K lines completed in 11 days with 99.8% test pass rate. Step-by-step setup guide.
Deepak Bagada
The n8n 3-in-1 AI Automation Suite uses Claude 3.5 Sonnet and Gemini 1.5 Pro across 81 interconnected n8n nodes to run a content factory, customer intelligence engine, and campaign orchestrator from one instance. A 3-per...
Deepak Bagada
n8n-claw is a self-hosted AI agent built entirely inside n8n that uses Claude API for reasoning, PostgreSQL for persistent memory with vector search, Telegram as the chat interface, and SearXNG for private web search. It...
Deepak Bagada
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