Brandon Waselnuk

Developer Relations · Unblocked

Brandon Waselnuk leads developer relations at Unblocked. He was previously head of product at Mintlify, co-founded Squire AI, an AI code review tool (Y Combinator S21), and led product and design programs at IBM, where he trained more than 7,000 developers in design thinking. He speaks regularly on context engineering, including QCon London 2026 and AI Dev SF 2026.

Brandon Waselnuk

Articles

Best Context Platforms for Agentic Applications Beyond Coding (2026)

Context Engineering Across Hundreds of Repos: A Practical Ladder for Platform Teams

Context7 for Internal Docs: Can It Cover Your Own Code, PRs and Slack?

GitHub Copilot Memory Is a Real Step. It Still Only Knows GitHub

Building the Context Engine AI Agents Need: The QCon Boston 2026 Talk

MCP Gateway vs Context Engine: Which One Your Agents Need, and Why It's Usually Both

Glean MCP vs a Context Engine: What Your Coding Agent Actually Receives

One MCP for Claude Code, Codex and Devin: Give Every Agent the Same Company Context

Codebase Answers for Product Managers and Support, Without Borrowing an Engineer

8 Best Sourcegraph Alternatives for Engineering Teams in 2026 (by Job)

8 Best AI Coding Agents for Large Codebases, Ranked by How They Scale (2026)

AI Code Search Tools Compared: Keyword, Semantic, and Hybrid (2026)

8 Best Developer Onboarding Tools, Compared by Layer (2026)

How to Map Blast Radius During an Incident: 5 Tool Classes Compared

How to Centralize Context for Coding Agents Across Your Team

Tools That Stop AI Agents From Acting on Stale Documentation (2026)

Tools That Verify AI-Generated Code Against Your Conventions (2026)

Tools That Keep AI Coding Agent Instructions Up to Date (2026)

Risk scoring on pull requests shows you where to look. Agents can do something about it.

Tools That Search Slack, GitHub, and Jira in One Query (2026)

Tools That Resolve Conflicting Information Between Docs, Code, and Slack

Is Glean Good Enough for Engineering Questions? An Honest Assessment

AI Coding Productivity at Scale: Why the Gains Disappear

8 Best Glean Alternatives for Engineering Teams (2026)

Why Does Your Coding Agent Keep Using Deprecated APIs? (And How to Stop It)

Team Memory Hubs for AI Agents: What TencentDB-Agent-Memory Solves — and What It Misses

What Is an AI Software Factory? A Buyer's Guide (2026)

Best Confluence and Jira MCP Servers for Coding Agents

How to Audit and Fix a Bloated CLAUDE.md File

Rules Files vs a Context Engine: What Actually Works

The Harness Is the Product, Not the Agent

Context Graph vs Context Engine: A Graph Stores, an Engine Reasons

The Outer Loop Needs a Context Engine

Top AI Token Optimization Tools Compared (2026)

Context Engine vs Knowledge Graph vs RAG Tools Compared

The MCP Plateau: Why Connecting More MCP Servers Stops Improving Your Agents

Rules-File Rot: Why CLAUDE.md, AGENTS.md, and Cursor Rules Drift Out of Date

Measuring AI productivity: Why your numbers are flat and your rework is up

Building With AI Effectively: An Engineering Leader's Operating Model

Tokenmaxxing Is Over. Token Yield Is the Scoreboard, and Context Moves It.

Cost per Merged PR: The Unit Economics of AI Coding

How to Cut AI Token Costs Without Throttling Your Agents: 7 Techniques

Memory for Coding Agents Compared: Mem0, Letta, Zep, Cognee, Context7, and Unblocked (2026)

Why MCP Servers Alone Aren't Enough for Enterprise Context

Stop Babysitting Your Agents: How to Get Mergeable Code on the First Run

Code Plus MCP Isn't a Context Engine: What a Real Reasoning Layer Actually Ingests

Building a Context Engine on Top of MCP: What's Possible and What's Missing

Same Prompt, Same Model, Different Context: A Controlled Test

How to Implement Context Engineering for AI Coding Agents

Context Engine vs Knowledge Graph: When You Need Understanding, Not Just Data

OSS Repo Rules Agent: give your coding agent a memory of your team's rules

How to Evaluate a Context Engine: The Buyer's Checklist

Unblocked vs Glean (2026): Why Engineering Teams Choose the Context Engine

Unblocked vs Sourcegraph Cody: Which Gives Coding Agents Better Context? (2026)

Three Myths About Context for AI Agents (And What Actually Works)

Context Engineering vs RAG: When to Use Which Approach

ServiceNow vs Tabnine vs Unblocked: Enterprise Context Engines Compared

Context Engine vs Enterprise Search: Glean, Elasticsearch, and the Limits of Search

The AI Agent Doom Loop: Why Your Agent Keeps Making the Same Mistake

Satisfaction of Search: Why AI Agents Stop Before Finding the Right Answer

OSS Social Graph Builder: map how your engineering team actually collaborates

You Are the Context Engine (And That Doesn't Scale)

Context Engineering vs Prompt Engineering for Coding Agents

Decision-Grade Context: Why Retrieval Isn't Enough for AI Agents

Context Engineering for Engineering Teams: What Goes In, Who Owns It, and the Tools (2026)

Context Engine vs RAG: Why Retrieval Alone Isn't Enough

A context layer is not a context engine

REPL is dead, long live REPL

What your coding agent can't see

Building AI Code Review: A Conversation with Richie

Building context into everything: A conversation with Dennis, CEO

Ceding control: The future of UX Design in the age of agents

The history & evolution of devtools from researchers in applied AI

What happens when you put three AI tool builders in a room together

Why MCP isn't enough: Enhancing agent capabilities with a context engine

Building AI Code Review with context as a first-class system

The Context Problem Moved From People to Agents

Answers

Building context into everything: A conversation with Dennis, CEO