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.
ColonyOS (rangelak/ColonyOS v0.4.6) is an autonomous software engineering pipeline that uses Claude Code to turn feature descriptions into shipped pull requests. Its built-in CEO agent writes PRDs, 7-persona reviewers ev...
Deepak Bagada
Claude Code Dynamic Workflows (Anthropic, research preview May 28, 2026) let Claude write a JavaScript orchestration script that spawns up to 1,000 parallel subagents within a single session. Each subagent has its own co...
Deepak Bagada
Building n8n workflows with Claude Code means using the n8n-mcp server (czlonkowski, v2.57.1) to give Claude Code direct access to 1,851 n8n nodes through the Model Context Protocol. Developers cut weekly workflow mainte...
Deepak Bagada
n8n + Claude API AI Research Agent uses Claude 3.5 Sonnet for analysis and Perplexity API for real-time web research, orchestrated through n8n's visual workflow builder. The agent evaluates sources for credibility, ident...
Deepak Bagada
Codex + Claude Code Multi-Agent Review Pipeline runs two AI models as adversarial reviewers in parallel via n8n orchestration. Claude Code checks architecture and conventions while Codex checks security and performance....
Deepak Bagada
Hermes Agent supports four parallel subagent patterns: Parallel Independent (same task to N agents), Pipeline with Dependencies (chain tasks sequentially), Fan-Out/Fan-In (split work then merge), and Competitive (N agent...
Deepak Bagada
Build an autonomous creative content pipeline with Hermes Agent v2.0+ that takes a raw idea and produces novels, tutorial videos, and audiobooks in parallel. Subagents handle research, drafting, illustration via ComfyUI,...
Deepak Bagada
Collaborate with Claw Groups Kimi K2.6 collaboration by deploying agents across your laptop, cloud server, and phone as a single coordinated team. Before this workflow, agents were tied to one device and could not hand o...
Deepak Bagada
Kimi K2.6 builds production-ready web applications from natural language prompts in hours instead of days. Before this workflow, a developer needed two weeks to build 30 restaurant landing pages with individual menus, ho...
Deepak Bagada
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